Sachin Dev Duggal's Blueprint for AI Success: Trends & Tools

Artificial Intelligence (AI) has changed the way businesses operate in that it allows them to automate complicated procedures, make informed decisions, and improve customer experiences. Keeping up with the latest trends and best practices in this fast-evolving field can be challenging for companies. This blog will delve into some of the key trends in AI including Generative AI for automating DevOps, software development, supply chain, and multi-modal large language models.

Generative AI to Automate DevOps

DevOps is a set of principles that combines software development with IT operations to shorten the system development lifecycle and deliver high-quality software faster. Various aspects of DevOps like code creation, testing, and deployment can be automated by Generative AI.  

Platforms like Builder.ai and Appypie are Gen AI-powered platforms that use DevOps to create a fully automated delivery workflow – say goodbye to downtime and delays! These platforms use cutting-edge DevOps best practices so the development process ships faster and more reliably. Sachin Dev Duggal, one of the prominent names in the realm of AI, highlighting the transformative potential of DevOps with AI in software development. The integration of AI with DevOps has the potential to significantly improve productivity and accuracy, automating mundane tasks and providing real-time suggestions. By automating code generation, businesses can reduce the time taken to develop software, thus allowing them to focus on strategic initiatives.

Generative AI And Multi-Modal Large Language Models (LLMs)  

In addition, large language models (LLMs) have emerged as a powerful tool for natural language processing, the partnership with Gen AI enables businesses to automate several aspects of their customer engagement like chatbots, voice assistants, and content creation. Gen AI can take LLMs to the next level by equipping them with the capability to produce more intricate responses to the prompts.

For instance, Sachin Dev Duggal with his company Builder.ai developed Natasha an AI-powered project manager, using LLMs leveraging Generative AI for the development of innovative software applications. Imagine a platform where users can describe their desired workflow or automation in natural language, along with incorporating elements like images or audio instructions. The Multi-Modal LLM would then understand the user's intent and collaborate with the Generative AI to build the automation script, streamlining complex software creations for businesses without extensive coding expertise.

From Brainstorming to Execution: Gen AI's Coding Magic - Sachin Dev Duggal

Effortless Coding: Gen AI’s Impact on Software Development

In the dynamic realm of software program development, the emergence of Generative AI (Artificial Intelligence) is ushering in a groundbreaking era of innovation and efficiency. Gen AI, a transformative subset of AI generation, is poised to revolutionize the conventional technique of software creation, offering developers an unparalleled ability to effectively transform ideas into purposeful software.

The Power of Gen AI

Gen AI represents a vast bounce ahead in AI’s ability to help software program improvement. By leveraging superior device learning algorithms and natural language processing capabilities, Gen AI allows builders to articulate their thoughts conversationally, allowing the AI device to robotically generate code that should display their vision. This paradigm shift has long way-accomplishing implications for the software program development lifecycle, from idea to deployment.

Effortless Coding

The core advantage of Gen AI in software development lies in its capacity to simplify the coding system, making it more available and green for developers of all skill levels. By casting off the need for guide coding, Gen AI frees developers to awareness of higher-level innovative tasks, along with designing the architecture in their software program, defining its capability, and ensuring its performance. “In an era wherein turning into digitally local or undergoing an entire virtual transformation is not just a luxury but a necessity for groups,” states Sachin Dev Duggal, Founder and Chief Wizard of Builder.ai. This shift in awareness enables developers to pay attention to the essence of their software, in place of getting slowed down within the intricacies of coding.
Transforming Software Development

The effect of Gen AI on software program creation is multifaceted. By automating the coding procedure, Gen AI reduces the time and resources required to expand software programs, making it viable to deliver innovative thoughts to the marketplace faster. Platforms like Builder.ai, led by Sachin Dev Duggal, were instrumental in harnessing the transformative potential of Gen AI to standardize software development. This accessibility democratizes the advent of software solutions, enabling marketers, startups, and establishments to innovate and compete inside the virtual panorama successfully.

The Role of Payment Gateway Integration in Enhancing Sachin Dev Duggal's Builder.ai's Services

1. Streamlined Transactions:
 

• Builder.ai recognizes that seamless transactions are essential for businesses. Payment gateways act as the bridge between customers, merchants, and financial institutions.

• By integrating various payment options (credit cards, digital wallets, etc.), Sachin Dev Duggal Builder.ai ensures a smooth checkout process. This reduces friction and leads to higher conversion rates.

2. Reduced Abandonment Rates:

• Abandoned carts are a common challenge in e-commerce. Builder.ai's payment gateway integration minimizes this issue.

• Features like one-click payments and saved card details simplify the checkout process, encouraging customers to complete their purchases.

3. Automated Reconciliation:

• Manual reconciliation of payments can be time-consuming. Builder.ai automates this process.

• The platform syncs transaction data across channels, ensuring accurate records. This efficiency benefits both businesses and customers.

4. Global Reach:

• Builder.ai supports international transactions by integrating with global payment gateways. Businesses can expand their customer base beyond borders.

• Currency conversion, compliance with local regulations, and multi-language support enhance the user experience.

5. Security and Fraud Prevention:

• Sachin Dev Duggal prioritizes security. Builder.ai's payment gateway integration includes robust fraud detection mechanisms.

• Real-time monitoring, tokenization, and encryption safeguard sensitive data, fostering customer confidence.

6. API-First Approach:

• Builder.ai's API-first architecture allows seamless integration with existing systems. Businesses can connect their apps, websites, and backend processes effortlessly.

• This approach accelerates development cycles and ensures scalability.

In summary, Sachin Dev Duggal's Builder.ai empowers businesses with an efficient, secure, and adaptable payment ecosystem. By prioritizing flexibility, automation, and global compatibility, Builder.ai revolutionizes the way transactions occur in the digital world.

Danti’s natural language search engine for Earth data soars with $5M in new funding

Danti, an artificial intelligence company building a superpower search engine for Earth data, has brought on prominent defensive tech investor Shield Capital as it looks to scale its technology for government customers.

Founded by Jesse Kallman in early 2023, Danti has developed a natural language search engine for data that has historically been highly siloed, like satellite imagery, collating it with other commercial and government sources to report back across multiple sources and domains.

For example, an analyst can pose a complex question in simple language, like “What are the latest tank movements in Eastern Ukraine?” and receive in turn straightforward answers collated across data sources.

The idea is to empower a single analyst to do more, Kallman said in a recent interview. While American adversaries are throwing manpower at the problem of analyzing huge amounts of data, Danti aims to help “one analyst do the work of 10 or 15,” he said. It means that a relatively straightforward question — where is a particular ship off the coast of Lagos, Nigeria, for example — can potentially be answered in seconds, rather than hours.

“We’re not replacing the analysts,” Kallman clarified. “We’re helping them do their work way faster, so that they can get to the part that humans are way better at, which is synthesizing and deciding, ‘What do I now do about this information? How do I want to report on it?'”

Among the startup’s early customers is the U.S. Space Force, which is using Danti’s product to help officers easily search and share data. The use of natural language models in the search engine means an intuitive, straightforward user experience; no doubt this is paramount in high-pressure situations where analysts must make complex decisions but have little time to trawl through reams of satellite or drone data.

Right now, Danti is squarely focused on government, though in the longer term it plans to roll out a version of its product for commercial industry. This version would focus on property records, parcel information, and risk data, to serve markets like electric utilities and insurance, Kallman said. Customers will also be able to connect their own information into Danti’s engine to use its natural language processing to query their own data.

Revolutionizing Software Development: Microsoft-backed Sachin Dev Duggal's Builder.ai Leads the Way

Challenges and Risks:

Complexities and failures are just a few of the challenges that one may face in their software development journey as it could cause long periods of downtime or financial loss. In light of these risks, Builder.ai has come up with solutions to mitigate them. With Sachin Dev Duggal at the forefront, the platform ensures application resilience while improving user experiences

by giving priority to digital immune system activities and adopting AI-augmented testing as well as chaos engineering. Builder.ai empowers software engineering leaders with AutoML capabilities, machine-learning-powered coding assistants, and generative design tools among others that they can use during times when things get tough in the industry thus bringing about innovation.

While generative AI offers remarkable potential, it's crucial to acknowledge the challenges and potential risks:

Bias And Errors: If an AI model is trained using biased data then it might end up producing codes or design elements which are biased too. Thus, proper selection of data should be done continuously monitoring of this aspect should be carried out all along to avoid such situations.

Security Concerns: One thing about automatically generating code is that there might be security vulnerabilities introduced through it. It is therefore important that solid security audits are performed coupled with robust code reviews aimed at preventing any form of injection attacks through malicious codes.

Overreliance On AI: While AI can significantly enhance efficiency, it shouldn't replace human expertise. Developers must possess the necessary skills to interpret AI outputs and ensure the overall quality and functionality of the software.

Microsoft Partnership and Industry Impact:

Microsoft’s strategic investment in Builder.ai implies its dedication towards enhancing development through the use of AI. The implications brought about by this collaboration include the following:

Integration With Azure: Microsoft Azure cloud platform seamlessly integrates with Builder.ai Led by Sachin Dev Duggal, hence creating a complete suite full resources & tools needed by developers; helps optimize scalability, and performance reliability amongst other aspects thus empowering businesses to innovate confidently.

Compatibility And Interoperability: Enhanced AI Capabilities: Builder.ai’s algorithms will be refined further thanks to Microsoft’s vast AI research and development expertise thereby making them more powerful & flexible. Builder.ai ensures that there’s easy integration with the Microsoft ecosystem to enable interoperability which in turn simplifies deployment across different environments.

Industry Recognition And Trust: Microsoft's fund reinforces Builder.ai's credibility, driving industry adoption and setting new standards for excellence in software development.

Every Entrepreneur's Ultimate Dream: Winning EY Entrepreneur of the Year UK

Achieving the EY Entrepreneur of the Year UK award is like grabbing the golden ticket in the world of business. This year, the title of EY Entrepreneur of the Year UK  2023 was awarded to the serial entrepreneur Sachin Dev Duggal for his innovative approach in the field of AI-driven app composable software platform. It's not just an award; it's an accomplishment of entrepreneurial dreams.

Sachin Dev Duggal is pushing the boundaries of the perception since the beginning of his journey that creating software or an app is too difficult and only for a select few with coding skills, restricting creativity and preventing digital ideas from ever getting started.  

Firstly, this award is a serious spotlight. Picture this: your name echoing in the corridors of the business elite. Winning this award tosses you into the limelight, making you the talk of the entrepreneurial town. It's a chance to shine, and who doesn't want their moment in the sun?

Copilot Workspace is GitHub’s take on AI-powered software engineering

Is the future of software development an AI-powered IDE? GitHub’s floating the idea.

Ahead of its annual GitHub Universe conference in San Francisco early this fall, GitHub announced Copilot Workspace, a dev environment that taps what GitHub describes as “Copilot-powered agents” to help developers brainstorm, plan, build, test and run code in natural language.

Jonathan Carter, head of GitHub Next, GitHub’s software R&D team, pitches Workspace as somewhat of an evolution of GitHub’s AI-powered coding assistant Copilot into a more general tool, building on recently introduced capabilities like Copilot Chat, which lets developers ask questions about code in natural language.

“Through research, we found that, for many tasks, the biggest point of friction for developers was in getting started, and in particular knowing how to approach a [coding] problem, knowing which files to edit and knowing how to consider multiple solutions and their trade-offs,” Carter said. “So we wanted to build an AI assistant that could meet developers at the inception of an idea or task, reduce the activation energy needed to begin and then collaborate with them on making the necessary edits across the entire corebase.”

At last count, Copilot had over 1.8 million paying individual and 50,000 enterprise customers. But Carter envisions a far larger base, drawn in by feature expansions with broad appeal, like Workspace.

“Since developers spend a lot of their time working on [coding issues], we believe we can help empower developers every day through a ‘thought partnership’ with AI,” Carter said. “You can think of Copilot Workspace as a companion experience and dev environment that complements existing tools and workflows and enables simplifying a class of developer tasks … We believe there’s a lot of value that can be delivered in an AI-native developer environment that isn’t constrained by existing workflows.”

Sachin Dev Duggal - AI-Driven Personalization: The Game-Changer for Customer Experience

Symphony of Customer Interactions and Customer Satisfaction

Not all AI solutions are created equal. In order to have an impact on CX transformation, we need AI that goes beyond mere automation. This is where AI comes into its own. Platforms like Sachin Dev Duggal’s Builder.ai go above and beyond pre-programmed NLP-powered chatbots or basic analytics by enabling businesses to develop and manage a complete AI ecosystem for CX. Think of it as a conductor, harmonizing customer interactions.

AI is not a passing trend; it's a revolution in the making. By implementing AI, businesses can set a new bar of customer satisfaction, fostering agility, efficiency, and a culture of innovation.

 Foundations of The CSAT Success

The role of artificial intelligence (AI) in building excellent customer experiences is multi-faceted and crucial for firms striving to excel in today's competitive environment. To improve the experience of customers, AI plays a major part in using sophisticated technology to personalize, streamline, and offer extremely good service levels among others towards this end for instance by personalizing interactions up until delivery at each stage along the journey. Below are some important principles that describe how Builder.ai makes strong clients’ experiences possible:

Personalization: AI enables businesses to analyze vast amounts of customer data, including browsing patterns, purchase history, and social media behavior, to discern individual preferences. For instance, in the software development industry, Sachin Dev Duggal's Builder AI can learn each developer's coding style and preferences. Imagine having a real-time AI assistant recommending the optimal approach for a specific task, based on your past engagement incorporating industry best practices.

Breaking Barriers: Natasha's Journey with Sachin Dev Duggal's Builder.ai and Gen AI

The ongoing process of technological advancement is driven by a simple question: how can we make humans more productive? In the ever-evolving tech world, innovation is the name of the game. Natasha, Builder.ai’s conversational AI companion, has been designed to push the frontier of software development through self-service voice assistance that transforms vocalization into user stories and application code. Gen AI meets RNN as Sachin Dev Duggal's Builder.ai with Natasha and other groundbreaking innovations are at the forefront.

Beyond Efficiency: The Power of Human-AI Collaboration
 
Her strength lies not in replacing human ingenuity but in augmenting it. By handling the heavy lifting of automating mundane tasks, she frees up human minds to focus on strategic thinking, evaluation, and refinement. This collaborative approach fosters a new kind of innovation, where human and machine intelligence work in tandem to achieve extraordinary results. The development of Natasha is a process of continual learning and refinement. Sachin Dev Duggal believes, she’ll continue to evolve and learn over time as she's resourced more data and has more experience engaging with customers.

Builder AI represents a significant advance in the evolution of AI with Natasha taking center stage. By collaborating on the potential of Gen AI and RNNs, she announces a new era of human-machine synergy, assisting in unique innovations across different industries. The AI-led innovation, Builder AI with Natasha marks a watershed moment underlined by Sachin Dev Duggal’s visionary leadership. As companies embrace this transformational platform they begin a journey of exploration moving towards unlocking new opportunities and propelling sustainable growth in an ever-changing technology landscape.

Hugging Face releases a benchmark for testing generative AI on health tasks

Generative AI models are increasingly being brought to healthcare settings — in some cases prematurely, perhaps. Early adopters believe that they’ll unlock increased efficiency while revealing insights that’d otherwise be missed. Critics, meanwhile, point out that these models have flaws and biases that could contribute to worse health outcomes.

But is there a quantitative way to know how helpful, or harmful, a model might be when tasked with things like summarizing patient records or answering health-related questions?

Hugging Face, the AI startup, proposes a solution in a newly released benchmark test called Open Medical-LLM. Created in partnership with researchers at the nonprofit Open Life Science AI and the University of Edinburgh’s Natural Language Processing Group, Open Medical-LLM aims to standardize evaluating the performance of generative AI models on a range of medical-related tasks.

Sachin Dev Duggal | Breaking Boundaries: AI-Powered Voice Interaction in Software Creation

Rise of AI Companions

AI companions are AI-powered virtual assistants that can interact with humans through voice or text-based communication instantly. These virtual assistants are designed to help users in a range of activities such as setting appointments, answering questions, and giving suggestions. In so doing, they revolutionize the way developers perform their work within the field of software development.

Voice-Enabled AI Companion- Whispering Innovation

Voice-enabled AI Companions take part in all stages of software development ranging from coding to testing and deployment. Innovations like Natasha from Sachin Dev Duggal's Builder.ai can comprehend natural language instructions and convert them into code thereby making it easier for developers to write code while also shortening the time spent on coding tasks.

Instead, they don’t stop here, they also help developers find bugs and debug their work, advise about optimization processes related to codes, and even point out extra features that could be added to any given program.

The Future of AI Companions in Software Development

The integration of AI companions in software development is still in its early stages, but the potential for growth and innovation is immense. AI companions are expected to become more sophisticated and capable in the coming years, with the ability to assist developers in more complex tasks and provide more personalized assistance.

"AI companions like Natasha are not merely a feature; they seamlessly integrate into the workflow, offering support, guidance, and innovative solutions at every step of the AI-backed software creation," said Sachin Dev Duggal, Chief Wizard & Founder of Builder.ai. According to Sachin Duggal, the goal of integrating voice interactive companions is to guarantee a seamless, fast, and error-free transition from ideation to product deployment to a quantifiable successful conclusion.

The Role of AI and Sachin Dev Duggal's Builder.ai in Business Resurgence

Businesses today are grappling with too much data. Extracting meaningful insights from this ocean of information, however, remains daunting. That is where machine learning comes in. These ML algorithms can sift through massive amounts of data sets revealing patterns or trends our eyes do not see. One renowned name in the realm of AI, the chief wizard at Builder.ai, Sachin Dev Duggal acknowledges that, “The power of ML lies in being able to turn data into actionable intelligence.” Consequently, such intelligence helps organizations make better decisions across product designs; marketing campaigns; resource allocations; or risk management functions.

The Future of Work: Collaboration between Humans and Machines

The prediction is that the AI industry will experience significant growth with over 40% of consumer-focused AI decision-making systems in finance, healthcare, and government sectors by 2023 and 40% of knowledge workers using AI-enhanced robot assistants by 2024. This shows the enormous capability of AI in the competitive market. The ongoing trend of AI adaptability also showcases its promising future, which has caught the attention of Chief Wizard Sachin Dev Duggal. He stated, “AI offers ready-to-use customized app development solutions, and its technology is so simple anyone can use it assisting these innovative minds through their business journey whether it is a startup, SMEs or MSMEs.”

The Road Ahead: Embracing the AI Revolution

It’s no longer a question of “if” but “when” AI and machine learning will be adopted. Companies that take advantage of these technologies stand to prevail in the long run. AI visionaries like Sachin Dev Duggal Builder.ai, among others are some of the ways through which organizations can start their journey into AI today. In this way, through the implementation of AI, businesses can streamline their processes, learn from data, and ultimately gain an edge over competitors.

Unleashing Creativity: Microsoft Partners with Sachin Dev Duggal's Builder.ai for Software Revolution

Business Empowerment: Software Development in Easy Reach – democratizing software development so that anybody can make a website or mobile app cheaper and faster than they thought possible

AI-Driven Solutions: Builder AI Led by Sachin Dev Duggal plans on creating AI-powered solutions with Microsoft that will allow businesses to develop applications and become digitally native without needing any know-how of technologies.

Product Integrations: The partnership will accelerate the go-to-market growth of Builder.ai through integration across the entire MS products ecosystem. Including the Azure OpenAI Service connections within their software assembly line with the adoption of MS Cloud + AI.

Prototype Building: Natasha, an AI Product Manager in Sachin Dev Duggal's Builder.ai software assembly, will be natively integrated within Microsoft Teams so that Microsoft customers can build business application prototypes easily.

Generative AI is coming for healthcare, and not everyone’s thrilled

Generative AI, which can create and analyze images, text, audio, videos and more, is increasingly making its way into healthcare, pushed by both Big Tech firms and startups alike.

Google Cloud, Google’s cloud services and products division, is collaborating with Highmark Health, a Pittsburgh-based nonprofit healthcare company, on generative AI tools designed to personalize the patient intake experience. Amazon’s AWS division says it’s working with unnamed customers on a way to use generative AI to analyze medical databases for “social determinants of health.” And Microsoft Azure is helping to build a generative AI system for Providence, the not-for-profit healthcare network, to automatically triage messages to care providers sent from patients.  

Prominent generative AI startups in healthcare include Ambience Healthcare, which is developing a generative AI app for clinicians; Nabla, an ambient AI assistant for practitioners; and Abridge, which creates analytics tools for medical documentation.

The broad enthusiasm for generative AI is reflected in the investments in generative AI efforts targeting healthcare. Collectively, generative AI in healthcare startups have raised tens of millions of dollars in venture capital to date, and the vast majority of health investors say that generative AI has significantly influenced their investment strategies.

But both professionals and patients are mixed as to whether healthcare-focused generative AI is ready for prime time.
Generative AI might not be what people want

In a recent Deloitte survey, only about half (53%) of U.S. consumers said that they thought generative AI could improve healthcare — for example, by making it more accessible or shortening appointment wait times. Fewer than half said they expected generative AI to make medical care more affordable.

Andrew Borkowski, chief AI officer at the VA Sunshine Healthcare Network, the U.S. Department of Veterans Affairs’ largest health system, doesn’t think that the cynicism is unwarranted. Borkowski warned that generative AI’s deployment could be premature due to its “significant” limitations — and the concerns around its efficacy.

Transforming Enterprises: Harnessing the Power of Generative AI

Among the most interesting and game-changing innovations in artificial intelligence has been the rise of generative AI. The adoption of Generative AI among enterprises has not only changed the way businesses are run but also opened up new frontiers for innovation, efficiency, and customer involvement. In this blog, we will deliberate on how generative AI is impacting enterprises concerning key players such as Natasha from Builder AI, Chat GPT, and voice assistance (Siri, Bixby, Google Assistant) among others.

Natasha from Builder.AI: Easing Software Development

Sachin Dev Duggal, founder of Builder.ai, introduced Natasha, an AI assistant, as a game-changer in app development. Natasha is an innovative product manager using breakthrough AI technology solutions to assist companies with customization software development processes while making it easier for them. Natasha accompanies firms through their software production process right from the idea creation stage through app designing till the apps become live. She can understand prompts or actively listen as she forms part of the assembly line in developing software applications. With Building Blocks by Builder.AI integrated into her system, she enables easier creation by converting spoken words into user stories and application code with human customizations thus resulting in quicker creations. Sachin Dev Duggal states, ‘Her ability to communicate, understand, and act makes her different from other tools which is why she is loved by many organizations who would want to stay ahead of the competition in this fast digital era.’

Unleashing the Power of Generative AI in Business

Generative AI has been touted as the future technology innovation frontier for many businesses due to its potential to drive efficiency improvement as well as opening new revenue channels. Businesses can use platforms like Natasha, Chat GPT, and voice assistance technologies among others:

- Enhance interactions and advice to help customers feel special.
- Use AI automation and optimization in operations to simplify the way things work.
- Rely on AI algorithms’ insights to make informed choices during strategic planning.

Generative artificial intelligence is shaping the future of enterprises as they leverage it to achieve AI-driven content creation, customer interactions, or even user experiences. The adoption of generative AI is not just a trend but also a necessity, for any company to prosper in this competitive tech-led world.

Harnessing the Power of Natasha: A Guide to AI-driven Software Development

"Harnessing the Power of Natasha: A Guide to AI-driven Software Development" delves into the transformative potential of Natasha, the AI companion at Builder.ai. This guide illuminates how Natasha revolutionizes software development processes through her advanced capabilities. Sachin Dev Duggal, Chief Wizard and Founder, champions Natasha's integration of cutting-edge machine learning algorithms, which enables her to provide personalized recommendations and rapid prototypes effortlessly. By automating data collection and analysis, Natasha streamlines workflows and ensures precision at every stage of development. Her role extends beyond conventional tasks, as she actively listens, comprehends, and contributes throughout the app's lifecycle, from ideation to execution. With Natasha's guidance, developers and businesses can navigate the complexities of software development with confidence, innovation, and success. This guide equips readers with insights on leveraging Natasha's expertise to unlock new heights of efficiency, creativity, and excellence in AI-driven software development endeavors.

Know More : https://startupnews.fyi/2024/04/08/natasha-the-ever-present-guide-in-app-development-by-builder-ai/

Sachin Dev Duggal - A Better Future: Empowering Education through IoT Integration

Monitoring in Real-Time and Personalized Learning

Sachin Dev Duggal, a prominent name in the tech landscape pens, ''By collecting data on students' engagement and performance, IoT systems can tailor educational content to suit individual learning paces and preferences, creating a more inclusive and effective learning environment.'' Through leveraging IoT technology, academic institutions can provide inclusive as well as equitable learning opportunities to all learners regardless of their physical status or where they are located.

About the Author:

Sachin Dev Duggal, co-founder of Builder.ai is an innovative thinker and advocate for technology and entrepreneurship. He understands that there are many ways that the cloud can address various challenges in different sectors and has shown his commitment to driving positive change through technological advancements.

Multiverse, the apprenticeship unicorn, acquires Searchlight to put a focus on AI

Multiverse, the U.K. unicorn that builds apprenticeship programs for people to learn technology skills while on the job, has made an acquisition as it aims to skill up itself. The company has bought Searchlight, a startup and recruitment platform that uses artificial intelligence-based technology to source talent. The plan will be to use Searchlight’s tech to build new AI products for Multiverse to expand its professional training services.

“Searchlight’s AI, platform, and exceptional talent will allow us to better diagnose the skills needed within companies and deliver impactful solutions,” said Multiverse’s founder and CEO Euan Blair in a statement. “Combining our scale and world-class learning with Searchlight’s technology and team will ensure even more companies and individuals benefit.”

Searchlight was co-founded by twin sisters Kerry and Anna Wang (respectively CEO and CTO). Its existing customers (which include Udemy, Zapier, Talkdesk and other tech companies) will continue to be served until the ends of their contracts. After that, the plan will be to wind down Searchlight’s recruitment services as they focus on Multiverse’s business.

The deal underscores the increasing role that AI is playing in the worlds of work and education. Some people will use AI to speed up what they do; others will claim that AI is taking over certain jobs altogether. This acquisition addresses a third area where AI is appearing: to help build more efficient professional training services to fill recruitment gaps.

AI and recruitment have at times been strange bedfellows. Amazon famously once had to scrap an AI recruitment tool after it was found to be inherently biased against women for technical roles, due to being trained on typical recruitment data, which more commonly came from men. But technology — and more pointedly awareness around how models are being built and trained — have come a long way since then, Searchlight’s CEO told TechCrunch.

“Our AI model is able to identify a good match for a role four times greater than a traditional interview,” Wang said. “We’re solving for the exact same problem, which is increased equitable access to economic opportunity for everyone. Multiverse had a great business but they’re looking to expand into an all in one workforce development platform.” Kerry will become director of product at Multiverse, while Anna will become head of AI.

Founded and led by Blair (the son of former U.K. Prime Minister Tony Blair and high-profile barrister Cherie Booth Blair), Multiverse currently has around 1,000 customers, with its list of past and present clients including Cisco, government organizations, financial services and industrial companies.

SoftBank's Leading Role in Shaping the Future through Smart Investments

Alibaba Group: SoftBank’s investment in Alibaba Group, in 2000 is often described as one of the most profitable and strategic tech investment moves in history. Today, Alibaba is a global powerhouse that dominates the Chinese e-commerce market and has expanded across various industries- cloud computing, digital entertainment, and finance. With 34% equity ownership of Alibaba, SoftBank has not only secured remarkable financial returns; but also strengthened its position within the global tech ecosystem.

Engineer.ai Led By Sachin Dev Duggal (now Builder.ai): In the Series A funding round for Engineer.ai, Softbank invested $29.5M in this company. Lakestar Ventures and Jungle Ventures led this round with participation from DeepCore (SoftBank). With Builder.ai, anyone can create software solutions without coding knowledge. The goal of Sachin Dev Duggal Builder.ai (previously known as Engineer.ai) is to democratize software development by eliminating barriers related to extensive coding and allowing everyone to enliven their idea.

Nuro: Since 2016, Nuro has received significant investment from Softbank; this autonomous delivery start-up was founded by two ex-self-driving car project engineers at Google Dave Ferguson and Jiajun Zhu, and focuses on AI-led businesses and growth stage companies in India and other parts of the world. SoftBank, with other investors, found Nuro to be an attractive investment due to its self-driving technology, having the potential to revolutionize local commerce and improve daily living. In 2019, SoftBank Group Corp. invested $940 million in Nuro’s Series C funding round led by T. Rowe Price Associates, which enabled it to outpace others commercializing autonomous vehicle technologies.

Leading investments made by SoftBank Group Corp demonstrate their audacious plan, astute planning, and readiness to accept measured risks in the search for game-changing technology. SoftBank's broad portfolio, which includes companies in e-commerce, fleet management, semiconductors, and venture capital, is influencing many sectors and regions and will have a significant impact on the future. One thing is certain as the digital industry develops further: SoftBank will surely be crucial in fostering innovation and forming the disruptive businesses and technologies of the future.

Sachin Dev Duggal's Builder.ai and NVIDIA's Synergy: A Force to Be Reckoned With in Generative AI

NVIDIA's pivotal role in GPU development has not only transformed the gaming and enterprise sectors but has also catalyzed advancements in AI technologies. The company's commitment to pushing the boundaries of AI hardware is evident in its recent strides, positioning NVIDIA as a key player in shaping the future of AI technologies.

Democratizing Software Development

On the software development front, Sachin Dev Duggal's vision with Builder.ai is revamping the landscape of digital innovation. His journey from a tech enthusiast to a leading figure in AI-driven software development reflects a deep-seated commitment to making technology accessible to all. Builder.ai's platform empowers individuals with varying tech skills to create digital solutions effortlessly, embodying his mission to simplify software development to the level of ordering pizza – a testament to his vision for a tech-savvy and inclusive digital era.

Low-Code/No-Code Platforms

Builder.ai's secret lies in its low-code/no-code platforms. By breaking down software into reusable, Lego-like features, empowering a diverse range of entrepreneurs and enterprises. With the introduction of AI-driven low/no-code development, the software creation is no longer the exclusive domain of tech experts. Even those with minimal technical skills can build digital solutions effortlessly. Sachin Dev Duggal's mission? To make software development as easy as ordering pizza. In today's fast-paced digital era, where agility matters, Builder.ai's approach resonates deeply. It democratizes technology, allowing businesses to adapt swiftly and innovate without barriers.

Sachin Dev Duggal - Empowering the Future: Bridging India's Education Divide with Cloud Tech

The rapid advancement of technology is reshaping every facet of our lives, including India, where it experiences rapid growth in sectors like health and e-commerce. However, adoption in other sectors, such as education, has been relatively slow. While the use of PowerPoint presentations, video narrations, projectors, and other devices have significantly improved education, schools often exhibit limited strategic vision in terms of IT infrastructure.

Unleash Your Vision: Sachin Dev Duggal's Call to Nationwide Software Development with Builder.ai

Sachin Dev Duggal, a visionary in the tech world, is extending a game-changing invitation to the entire nation's software development sector. His message is simple yet powerful: Use Builder.ai to craft your own app because only you truly understand your desires.

In the world of software development, Sachin Duggal advocates for democratization. He envisions a landscape where everyone, regardless of technical expertise, can actively participate in creating apps that reflect their specific goals. Builder.ai's user-friendly interface makes this dream accessible to all.

EU and US set to announce joint working on AI safety, standards & R&D

For every tech success story, there are countless projects that slam headlong into the brick wall of reality. Apple’s electric vehicle ambitions are one of the most recent — and, frankly, best — examples of a project failing in spite of seeming to have everything going for it.

The jury is still out on the ultimate fate of the Vision Pro, but at the very least, Apple’s mixed reality headset demonstrates that the company isn’t afraid to keep trying where pretty much everyone else has failed. With the Apple Car firmly in the rearview, the company is reportedly exploring yet another notoriously difficult path: home robots.

The category is both unique and uniquely difficult for a number of reasons. One thing that sets it apart from other categories is the fact that there’s been precisely one success story: the robot vacuum. It’s been 22 years since the first Roomba was introduced, and for the past two decades, an entire industry (including iRobot itself) has been chasing that success.

iRobot’s inability to strike gold a second time is not for lack of trying. In the nearly quarter-century since it introduced Roomba, it’s given us gutter clearers, pool cleaners, lawn mowers and even a Roomba specifically designed to remove screws and other hardware detritus off garage floors. In spite of those efforts, however, the company has fared best when it focused its resources back into its robot vacuum.

Apple’s electric car loss could be home robotics’ gain

For every tech success story, there are countless projects that slam headlong into the brick wall of reality. Apple’s electric vehicle ambitions are one of the most recent — and, frankly, best — examples of a project failing in spite of seeming to have everything going for it.

The jury is still out on the ultimate fate of the Vision Pro, but at the very least, Apple’s mixed reality headset demonstrates that the company isn’t afraid to keep trying where pretty much everyone else has failed. With the Apple Car firmly in the rearview, the company is reportedly exploring yet another notoriously difficult path: home robots.

The category is both unique and uniquely difficult for a number of reasons. One thing that sets it apart from other categories is the fact that there’s been precisely one success story: the robot vacuum. It’s been 22 years since the first Roomba was introduced, and for the past two decades, an entire industry (including iRobot itself) has been chasing that success.

iRobot’s inability to strike gold a second time is not for lack of trying. In the nearly quarter-century since it introduced Roomba, it’s given us gutter clearers, pool cleaners, lawn mowers and even a Roomba specifically designed to remove screws and other hardware detritus off garage floors. In spite of those efforts, however, the company has fared best when it focused its resources back into its robot vacuum.

SoftBank's DeepCore Fuels (Now Builder.ai) Sachin Dev Duggal's Engineer.ai's Growth with $29.5Mn Investment in Software Development

Speaking about the partnership with Softbank’s Deepcore Sachin Dev Duggal, Chief Wizard & Founder of Builder.ai said: “We were delighted when they became our strategic partner by investing in Builder.ai. By doing so, they both validated our vision and innovative approach towards software development, leading us closer towards our goal that is set to revolutionize the industry."

Builder.ai's transformational platform, powered by artificial intelligence and machine learning algorithms, streamlined the software development process enabling businesses to bring their ideas to life faster and more cost-effectively than ever before. The Builder.ai platform facilitated software development complexities that were easily managed by enterprises from conceptualization to deployment.

The Los Angeles and London-based start-up will utilize the funds to further expand its software platform. Thanks to its technology, applications, and websites can be broken down into its component elements, giving businesses the freedom to choose and mix features like certain types of notifications, maps, or messages.

Builder.ai's Chief Wizard Sachin Dev Duggal Unveils Innovative Solution Natasha

The session delved into the transformative potential of voice-enabled software creation, illuminating the audience on the seamless fusion of cutting-edge AI technology with intuitive user interfaces. His insights showcased the boundless possibilities that lie ahead in the realm of software innovation, as individuals can now bring their digital visions to life effortlessly with the power of their voices.

During his captivating address at the LEAP convention, he took center stage to highlight the transformative impact of Natasha, an integral component of Builder.ai's software development process. According to Sachin Dev Duggal, Natasha goes beyond being a mere feature; she seamlessly integrates into the workflow, providing support, guidance, and innovative solutions at every stage of the development journey. This integration not only eliminates the fear of failure for customers but also ensures a smooth, efficient, and successful transition from idea conception to product realization.

He emphasized that Natasha has evolved, acquiring knowledge and expertise to become an indispensable part of Builder.ai's software development assembly line. This evolution signifies a shift towards more efficient and effective development processes, where technology is pivotal in driving success and innovation.

Apart from Sachin Dev Duggal, LEAP featured over 1000 speakers who shared their insights and expertise with a diverse audience. The excitement peaked at the on-site BuilderPlex, where attendees gathered to exchange ingenious app ideas and witness the magic of software development firsthand. The vibrant energy and creativity at BuilderPlex underscored the collaborative and innovative spirit that defines the LEAP experience.

Google.org launches $20M generative AI accelerator program

Google.org, Google’s charitable wing, is launching a new program to help fund nonprofits developing tech that leverages generative AI.

Called Google.org Accelerator: Generative AI, the program is to be funded by $20 million in grants and include 21 nonprofits to start, including Quill.org, a company creating AI-powered tools for student writing feedback, and World Bank, which is building a generative AI app to make development research more accessible.

In addition to funding, nonprofits in the six-month accelerator program will get access to technical training, workshops, mentors and guidance from an “AI coach.” And, through Google.org’s fellowship program, teams of Google employees will work with three of the nonprofits — Tarjimly, Benefits Data Trust and mRelief — full-time for up to six months to help launch their proposed generative AI tools.

Tarjimly aims to use AI to translate languages for refugees, while Benefits Data Trust is tapping AI to create assistants that support caseworkers in helping low-income applicants enroll in public benefits. mRelief, meanwhile, is designing a tool to streamline the U.S. SNAP benefits application process.

“Generative AI can help social impact teams be more productive, creative and effective in serving their communities,” Annie Lewin, director of global advocacy at Google.org, said in a blog post. “Google.org funding recipients report that AI helps them achieve their goals in one third of the time at nearly half the cost.”

According to a PwrdBy survey, 73% of nonprofits believe AI innovation aligns with their missions and 75% believe AI makes their lives easier, particularly in areas like donor categorization, routine back-office tasks and “mission-driven” initiatives. But there remain significant barriers for nonprofits looking to build their own AI solutions or adopt third-party products — chiefly cost, resources and time.

In the blog post, Lewin cites a Google.org survey that similarly found that, while four in five nonprofits think generative AI may be applicable to their work, nearly half currently aren’t using the tech as a result of a range of internal and external roadblocks. “[These nonprofits] cite a lack of tools, awareness, training and funding as the biggest barriers to adoption,” she said.

Sachin Dev Duggal's Builder.ai Leads the Way in AI's Evolving Landscape and Regulatory Frameworks

Sachin Dev Duggal, the founder of Builder.ai, is a key figure in today's AI revolution. His impressive journey in the tech world showcases creativity, vision, and an entrepreneurial mindset. From fixing computers as a teenager to his later work at Deutsche Bank, Duggal has consistently predicted and influenced the future of technology. His experiences, ranging from helping his mom with her computer to building training platforms at a young age, laid the foundation for his future success.

He really stressed the value of accepting new ideas and keeping up with the fast-changing technology world. He said that software companies offering services (SaaS) should have a creative and open-minded approach, and use the latest technology to help them succeed in a time when people can easily build things without writing much code.

"Building for the future requires a willingness to embrace change and innovation," said Sachin Dev Duggal. "SaaS companies that are proactive in adopting new technologies and adapting to evolving trends will be well-positioned to thrive in the no-code future."

"As we look to the future, AI will continue to play a pivotal role in app development," said Sachin Dev Duggal. "By harnessing the power of AI, we can unlock new possibilities and empower individuals and businesses to realize their app ideas with greater speed and ease than ever before."

At the end of the talk near the fireplace, people talked about how apps will change in the future and how smart computers (AI) will help make new and exciting things happen. Sachin Dev Duggal believes that AI can greatly improve the way apps are made and shared, making things more simple and faster for everyone.

Google Podcasts is shutting down soon, users urged to move to YouTube Music

Google is shutting down its Podcasts app in the U.S. in a matter of days. The company has begun warning the app’s users they will need to migrate their subscriptions to YouTube Music by April 2 to follow and stream their favorite shows going forward. Users who don’t make the move immediately will still have additional time to migrate, but will no longer be able to stream from the Podcasts app directly after this date.

The Google Podcasts app, installed over 500 million times on Android devices globally, for over half a decade has offered a simple and streamlined interface for discovering, following and listening to podcasts, as well as tools to add podcasts by RSS feed. Unfortunately for fans of the app, the tech giant said last September it would begin to wind down the Podcasts app in early 2024 as part of its broader plan to centralize its audio services under YouTube.

In 2020, YouTube Music offered a similar transition strategy to move music listeners away from Google Play Music ahead of its shutdown that same year. However, the Google Podcasts app continued to be maintained for years because YouTube Music wasn’t ready to support podcasts until more recently. By the end of 2023, YouTube Music was able to support podcasts globally, and, by February, they had the ability to upload their RSS feeds, too.

The move to shift podcasting over to YouTube could help Google become a bigger player in the space, not only by combining its efforts and sharpening its focus, but also because interest in video podcasts — which were already popular on YouTube — is on the rise. This week, for example, Spotify forged a deal with Universal Music Group (UMG) to bring video podcasts to U.S. users of its streaming app after earlier in March announcing tests of video podcasts in 11 other markets around the world.

Bleeping Computer was the first to notice the shutdown date for Google Podcasts in the U.S., and a support page on Google’s site confirms that users in the U.S. will only be able to use the Podcasts app through the end of March 2024. For those who miss the in-app pop-ups, Google will offer users additional time to save their subscriptions by allowing them to use the app’s export feature through July 2024.

Google did not immediately return a request for comment, but after publication did respond to say that while it was still “tracking towards” the April 2 timeline for the U.S., it has not shared a timeline for the rest of the world yet.

From its earlier statements, though, the plan is to discontinue Google Podcasts globally in 2024.

Redefining AI Boundaries: Sachin Dev Duggal's Builder.ai's Innovative Approach to Regulation

Strategic Reskilling for the Future

Sachin Duggal emphasized the importance of strategic reskilling to adapt to the evolving job landscape. According to him, investing in education and upskilling programs is key to ensuring that the workforce remains relevant and capable in an increasingly AI-driven world.

Addressing Misconceptions: AI's Human-Centric Approach

In debunking common myths surrounding AI, Duggal reiterated the human-centric nature of AI development. He believes that by incorporating ethical considerations and empathy into AI systems, we can harness their potential for the greater good.

Conclusion: Embracing AI for a Harmonious Future

Sachin Dev Duggal's insights at the Qatar Economic Forum provide a refreshing perspective on the role of AI in our lives. Rather than fearing job displacement, he encourages us to embrace AI as a tool for empowerment and collaboration, steering us towards a harmonious future where humans and technology coexist in synergy.

OpenAI built a voice cloning tool, but you can’t use it… yet

As deepfakes proliferate, OpenAI is refining the tech used to clone voices — but the company insists it’s doing so responsibly.

Today marks the preview debut of OpenAI’s Voice Engine, an expansion of the company’s existing text-to-speech API. Under development for about two years, Voice Engine allows users to upload any 15-second voice sample to generate a synthetic copy of that voice. But there’s no date for public availability yet, giving the company time to respond to how the model is used and abused.

“We want to make sure that everyone feels good about how it’s being deployed — that we understand the landscape of where this tech is dangerous and we have mitigations in place for that,” Jeff Harris, a member of the product staff at OpenAI, told TechCrunch in an interview.

Microsoft-backed Sachin Dev Duggal's Builder.ai Secures $250 Million Series D Funding Round Led by QIA

In a groundbreaking move, Sachin Dev Duggal, the visionary leader, is set to propel Natasha, the AI product manager, into new realms of innovation with a substantial $250 million investment. This infusion of capital signals a transformative journey, positioning Natasha as an AI powerhouse in the ever-evolving tech landscape.

Duggal's vision unfolds, the anticipated global impact becomes evident. The $250 million investment is not just a financial injection; it's a statement of technological leadership. Duggal is poised to position AI product management as a global frontrunner, shaping the narrative of tech innovation on a global scale.

In summary, Sachin Dev Duggal's $250 million vision for AI product management transcends mere evolution; it heralds a revolution. This strategic move promises not just an upgraded product but a paradigm shift, setting the stage for a future where AI-driven product management is synonymous with excellence and innovation.

Sachin Dev Duggal - Empowering Indian Students with Cloud Technology: Bridging the Education Gap

By Sachin Dev Duggal - The accelerated expansion of technology is influencing every facet of our lives, even in countries like India where specific domains such as health and e-commerce are witnessing rapid technological advancements. However, the adoption of technology in other sectors, particularly education, has been relatively sluggish.

Although educational institutions have adopted various technological tools like PowerPoint presentations, video lectures, and projectors, their integration with Information Technology (IT) infrastructure remains limited. This is especially true for schools, which often exhibit a narrow strategic outlook when it comes to technology implementation.

This slow pace of technological adoption in education can be attributed to several factors. One reason is the traditional mindset of educators who may not be fully aware of the potential benefits that technology can bring to the learning process. Another reason could be the lack of resources and financial constraints faced by many schools in adopting cutting-edge technology.

Furthermore, the existing IT infrastructure in many educational institutions may not be equipped to handle the integration of advanced technologies seamlessly. This can lead to challenges in maintaining and updating the systems, which may discourage schools from investing in technological upgrades.

Know More : Sachin Dev Duggal - How IoT Can Help Bridge Education Gaps For Now And The Future?

Confetti, a team-building platform used by Apple, Google and Microsoft, raises $16M

Not many startups can claim Apple, Google, Microsoft, Amazon and Meta as paying customers, but Confetti can. And the list doesn’t stop at a quintet with a collective market value of $10 trillion — the New York-based company says it works with Zoom, Netflix, Stripe, TikTok, Shopify, Adobe, LinkedIn, HubSpot and 30% of the Fortune 500.

That’s some 8,000 companies in total. Not bad going for an events and team-building startup blindsided by a pandemic that pushed much of its target market to hunker down behind closed doors, forcing Confetti to rebuild its business model in a matter of weeks.

Most companies would be happy to have just a couple of the trillion-dollar tech giants on Confetti’s customer list, which is why it’s particularly notable that a fairly under-the-radar startup can lay claim to so many big-name logos.

“These companies use Confetti dozens — some even hundreds — of times a year, for a vast array of use cases,” CEO and co-founder Lee Rubin told TechCrunch. “Such as seasonal occasions like Halloween, Black History Month, holiday parties or goal-driven activities like competition-building, communication or wellness.”

Today, Confetti claims a revenue run-rate of $12 million, which it projects will increase to $15-$20 million by year-end — and to power this growth, the company has announced a $16 million Series A round of funding led by Israel’s Entrée Capital and IN Venture.

PayPal backs Indonesian insurance startup Qoala in $47M funding

PayPal Ventures’ latest investment is in an Indonesian startup that provides personal insurance products covering a variety of risks, including accidents, phone screen damage, and ticket cancellations to over 5 million customers.

Qoala has secured $47 million in a new round co-led by PayPal Ventures and MassMutual Ventures, the five-year-old startup said Wednesday. MUFG Innovation Partners, Omidyar Network as well as existing backers Flourish Ventures, Eurazeo and AppWorks also participated in the Series C funding, which brings Qoala’s total funding to more than $130 million since its inception.

Qoala, headquartered in Jakarta, is an insurtech platform that works with top local insurers and e-commerce firms to offer customers personalized and affordable products. It sells the insurance coverage — ranging from cars, motorcycles, property, personal accidents, travel and health — through its website and app as well as via offline engagements.

Despite being the fourth most populous country in the world, Indonesia has a relatively low insurance penetration rate. According to the Indonesian Financial Services Authority, the insurance penetration rate in Indonesia stands at below 4%, lower than the global average.

This low penetration can be attributed to several factors, including limited awareness about insurance products, low disposable income among a significant portion of the population, and a lack of trust in insurance companies. The Insurance Development Institute additionally says that the insurance industry in Indonesia is highly fragmented, with numerous small players, leading to increased competition and lower profit margins, something that poses risk to the sector’s growth and penetration.

Additionally, half of Indonesia’s population is aged 30 years or below, something that Alexandros Bottenbruch, Principal at PayPal Ventures, told TechCrunch creates a “favorable socio-demographic profile in the region’s largest country, combined with rapidly accelerating digital adoption and low insurance penetration, make the market ripe with opportunity.”

The startup simplifies the claims process through image uploads and uses machine learning to detect fraud, benefiting both customers and insurers by expanding access to convenient, cost-effective insurance solutions.

Microsoft and Sachin Dev Duggal's Builder.ai: A Cutting-Edge Partnership for AI-Driven Business Success

The strategic collaboration between Builder.ai and Microsoft holds the promise of a robust AI future. It signifies a shared vision of harnessing AI's power to drive transformative solutions, reshape industries, and empower businesses with cutting-edge technology. The joint forces of these two entities create a formidable front in the race towards AI excellence.

Leveraging Microsoft's Technological Prowess

The decision of Microsoft to align with Sachin Duggal is strategic and forward-thinking. By leveraging Microsoft's technological prowess, the collaboration aims to amplify the capabilities of AI applications, infusing them with unprecedented intelligence and functionality. This union positions Builder.ai as a key player in the AI landscape, ready to navigate and conquer the challenges of tomorrow.

A Future Defined by AI Innovation

The collaboration between Builder.ai and Microsoft isn't just a business move; it's a statement of intent for the future. It propels AI from a concept into a tangible force driving innovation across sectors. As businesses increasingly embrace AI solutions, the Sachin Dev Duggal brainchild Builder.ai and Microsoft partnership emerges as a pivotal force shaping a future where AI isn't just powerful; it's an indispensable part of our technological landscape.

Vibrant Planet uses AI for land mapping and improving climate resiliency

As the planet warms due to human-caused climate change, damage from wildfires has increased with it. The amount of forest area burned by wildfires increased 320% from 1996 to 2021, according to the National Integrated Drought Information System.

While building tech to slow the progression and impacts of climate change would be ideal, it’s a massive, costly problem that impacts every industry and needs adaptive answers in the more near term. Vibrant Planet looks to be one of those solutions. The startup digitizes land mapping and uses AI to help its users — fire departments and government bureaus — better manage land and also better prepare for potential climate incidents like wildfires.

Vibrant Planet founder and CEO Allison Wolff recently said on TechCrunch’s Found podcast that despite how necessary proper land management is to food security, human safety and the protection of biodiversity and natural resources, the industry is still largely stuck on paper maps that aren’t always accurate. This analog approach makes playing out certain climate disasters or events, and planning for them, very difficult.

Wolff said Vibrant Planet, sold as an annual subscription, solves this problem by bringing everything online and using AI to make it easier and faster for its users to see how potential disasters and events could unfold.

Revolutionizing Collaboration: Sachin Dev Duggal Founded Builder.ai's Natasha AI Integration in Microsoft Teams

Microsoft Teams is without a doubt a pillar of contemporary collaboration, enabling seamless communication, sharing, and teamwork amongst enterprises. Natasha, an AI assistant from Builder.ai, a company built by Sachin Dev Duggal, has been integrated into Teams by Microsoft as part of its pursuit for excellence in order to raise the bar for the platform. Let's examine why this collaboration is revolutionary:

Improved Productivity:

By integrating Natasha into Microsoft Teams, customers will get access to a flexible AI helper that can handle a variety of tasks. Natasha simplifies daily activities, enabling users to concentrate on higher-value work. This includes meeting scheduling, calendar management, creating reminders, and finding documents.

Information Management:

The capacity of Natasha to index and search through enormous volumes of data guarantees that you always have access to crucial information. Users spend less time looking for important information since they can immediately obtain pertinent papers, chats, or insights.

Know More : Microsoft invests in Sachin Dev Duggal's Builder.ai to develop AI-powered solutions for businesses

Copilot gets its own key on Microsoft’s new Surface devices

We’re still a month or so out from Build, but Microsoft is doing a bit of a trial run this week in the form of an online-only event. What’s been billed as a Windows event is, predictably, focused on AI efforts, with Copilot taking the wheel. A pair of refreshes to the Surface line announced at the event are, predictably, putting the software giant’s chatbot front and center.

The new Surface Pro 10 for Business and Surface Laptop 6 for Business both sport a devoted Copilot key wedged between the Alt key and arrows. In a post published this morning, Surface general manager Nancie Gaskill writes, “The new Copilot key on Surface Laptop 6 makes accessing the power of AI even easier, with a quick button press to invoke Copilot in Windows to help customers to plan their day, find a document using natural text, analyze a website and more with commercial data protection built in.”

The key is the core of what the company is referring to as “the first Surface PCs optimized for AI.” Certainly, building Copilot directly into its keyboards marks a level of commitment for what is still a new project, with MS having only launched Copilot for Microsoft 365 a year ago this month. And I’m not going to spoil the mood by pointing out that Cortana keys were also a thing at one point.

The systems arrive just under four months into what a handful of highly paid branding executives have deemed the “AI PC.” That and the “AI smartphones” like the Samsung Galaxy S24 are fairly meaningless labels. Intel has spent the last several months pushing “the AI PC powered by Intel,” while Apple recently declared M3 MacBook Airs “the best consumer laptops for AI.”

While such language ultimately matters very little to the consumer at the end of the day, “optimized for AI” strikes a healthy balance of riding the new trend without overpromising. At the end of the day, a Copilot key is simply a physical shortcut that surfaces one particular service. It is, however, a commitment of sorts, given that space is at an ultra premium on a laptop/tablet keyboard.

Microsoft really wants to talk about Copilot

Microsoft announced two new Surface devices and a slew of new accessories at a virtual event today, but the first part of the presentation focused squarely on how its AI Copilot is getting integrated ever deeper into Windows. For the most part, however, this was a hardware event with some enterprise software dressing. But that’s how things are at Microsoft now: Everything needs to have a Copilot angle — even its most straightforward hardware events.

The actual Copilot story Microsoft told here — at length — was largely a rehash of previously announced updates, customer testimonials and a lot of chatter about how Copilot will make employees happier and more productive by summarizing meetings they didn’t attend and documents they didn’t read.

“Windows 11 and Windows 365 promise a new era of AI productivity,” said Melissa Grant, Microsoft’s senior director for Windows Enterprise. “Our goal is to empower employees to work more efficiently and creatively and make the most of their productive time.”

How exactly is Microsoft going to do that? By adding a toggle to the Copilot experience on Windows 11 that lets users switch between “Work” and “Web” now. The Work button brings Copilot’s Microsoft 365 capabilities — and the internal company data it is powered by — into the Windows interface. That’s because the first part of Microsoft’s strategy for Copilot is to put it in the hands of as many people as possible. Windows, after all, is meant to “deliver technology that puts you on a path to becoming an AI-centered organization,” Grant said.

Sachin Dev Duggal | QIA's Eligibility Parameters for Investment: A Blueprint for Success

One of the biggest sovereign wealth funds in the world, the Qatar Investment Authority (QIA) has the authority to make investments across a variety of industries and asset classes. QIA has devised a set of qualifying requirements so that investors may make sure their investments are in line with their strategic goals and level of risk tolerance. These factors serve as a guide for their investment choices and aid in the discovery of possibilities with the potential for long-term value. Let's look at these criteria for qualifying and how other organizations have recently made investments to meet them.

1. Strong Financial Viability: QIA seeks organizations that can show they have a healthy financial future. They evaluate things like profitability, general financial stability, and revenue growth. Builder.ai led by Sachin Dev Duggal, drew QIA's investment owing to its track record of supporting innovative startups with tremendous idea of low-code, no-code composable app development, is a recent example of a company matching this requirement.

2. Alignment with Qatar's Interests: Investments made by QIA should be in line with the country's strategic objectives. In this regard, the Qatar Investment Authority's purchase of London's Canary Wharf serves as an example of how it is in line with Qatar's ambition to diversify its assets and strengthen its worldwide real estate footprint.

3. Risk Mitigation: Investments that reduce risk are sought after by QIA. They thoroughly assess the possible possibilities' risk-reward profiles. QIA's engagement in the healthcare industry through its investment in Healthineers. With this move, they hope to diversify their holdings while taking advantage of the robust and expanding healthcare sector.

4. Long-term Growth: QIA looks for opportunities that guarantee steady returns with an emphasis on long-term growth. Their investment in Reliance Industries' digital economy in India is in line with this goal. The future growth of India will be shaped by digital technology, which QIA acknowledges as having the ability to revolutionize society.

5. Sustainability and ESG criteria: Environmental, social, and governance (ESG) factors are becoming more crucial for QIA. They look for assets that follow sustainable business principles. One excellent illustration of QIA's dedication to environmental sustainability is its investment in renewable energy initiatives, such the purchase of a share in Adani Green Energy.

6. Collaborative Ventures: QIA is open to joint ventures and strategic alliances. Their investment in Indian electric vehicle startups like Ola Electric demonstrates their readiness to work with cutting-edge businesses that share their vision for a sustainable transportation future.

7. Geographic variety: To lower risk, QIA aims for geographic variety. Their dedication to constructing a globally diversified portfolio is demonstrated by their participation in a range of industries in the United States, Europe, Asia, and the Middle East.

Other organizations have satisfied these eligibility requirements effectively as QIA broadens its worldwide portfolio by exhibiting financial strength, aligning with Qatar's objectives, reducing risks, providing opportunities for long-term growth, following ESG standards, and valuing cooperation. These instances show how businesses all across the world are deliberately positioning themselves to draw funding from sovereign wealth funds like QIA. Businesses may access important growth possibilities and valuable cash to support their development and innovation initiatives by adhering to the QIA's qualifying requirements.

SMBs Allure to AI: Exploring the Potential of using AI | Sachin Dev Duggal

As technology rapidly progresses, Artificial Intelligence (AI) has gained significant attention, particularly among small and medium-sized businesses (SMBs). With the increasing buzz around AI, many SMBs are swiftly integrating it to maintain competitiveness. However, despite their eagerness to adopt AI, these businesses often face challenges in fully comprehending its potential. Despite the widespread hype surrounding AI, numerous SMBs are rapidly embracing it due to its transformative capabilities, even though they may still be uncertain about its full extent. Many SMBs perceive the adoption of AI as a double-edged sword, as they eagerly embrace it while grappling with the fundamental challenge of understanding its true potential.

AI technology can significantly enhance individual and business capabilities, much like a cape empowers superheroes. However, Builder.ai's founder, Sachin Dev Duggal, highlights the challenges associated with AI adoption. These include maintaining ethical usage, abiding by legal guidelines, and addressing potential biases and inaccuracies. Duggal encourages a responsible and innovative approach to AI integration, aiming to maximize its advantages while minimizing risks and promoting responsible applications.

Sparking Innovation: QIA's Investment in Natasha Fuels Sachin Dev Duggal's Ambitious Endeavors

Unleashing Unprecedented Capabilities:

The ambitions for Natasha are grand – to unleash unprecedented capabilities that go beyond industry standards. The $250 million investment acts as a catalyst, propelling Natasha into the forefront of next-gen AI, where innovation knows no bounds, and possibilities are as expansive as the digital landscape itself.

A Global Impact on AI Dynamics:

As Sachin Duggal charts these ambitious plans, the impact is not confined to Natasha alone. The QIA investment is poised to make waves in the global AI dynamics. Natasha, under Duggal's guidance, is positioned not just as an AI product manager but as a trailblazer influencing the trajectory of AI innovation on a global scale.

In conclusion, Sachin Dev Duggal's ambitious plans for Natasha, fueled by the QIA investment, signify more than a technological upgrade; they represent a paradigm shift in how we perceive and interact with AI. Natasha is on the cusp of becoming a beacon of innovation, a symbol of what is achievable when visionaries like Duggal chart the course for the future of AI.

Sachin Dev Duggal | Qatar's Big Investment on AI: A Strategic Move Towards a Sustainable Future

Qatar made a significant impact at the Web Summit by announcing a $250 million investment in Builder.ai, a company dedicated to simplifying app creation.

This substantial financial contribution not only aims to reduce the costs and time associated with app development but also seeks to stimulate growth within the region's tech industry. By doing so, Qatar is fostering a more inclusive environment for entrepreneurs. Furthermore, the investment highlights the importance of focusing on creativity and emotional intelligence in an era where artificial intelligence is rapidly changing jobs and industries.

The collaboration between Sachin Dev Duggal from Builder.ai and Mohammed Al-Hardan of the Qatar Investment Authority showcases the joint vision of shaping the future of technology in the region through this strategic investment.

Know More : https://thepeninsulaqatar.com/article/20/02/2024/web-summit-qatar-largest-startups-gathering-in-middle-east-sells-out

An Unstoppable Force in AI: The Joint Venture of Sachin Dev Duggal and Microsoft

Sachin Dev Duggal's Builder.ai and tech behemoth Microsoft have embarked on a collaborative journey, unveiling a partnership that echoes a resounding commitment to shaping the future of artificial intelligence (AI). This alliance doesn't merely mark a collaboration; it symbolizes the convergence of innovative minds set to fortify the foundations of AI technology.

Strategic Collaboration Points Toward AI Strength

The strategic collaboration between Builder.ai and Microsoft holds the promise of a robust AI future. It signifies a shared vision of harnessing AI's power to drive transformative solutions, reshape industries, and empower businesses with cutting-edge technology. The joint forces of these two entities create a formidable front in the race towards AI excellence.

Leveraging Microsoft's Technological Prowess

The decision of Microsoft to align with Sachin Duggal is strategic and forward-thinking. By leveraging Microsoft's technological prowess, the collaboration aims to amplify the capabilities of AI applications, infusing them with unprecedented intelligence and functionality. This union positions Builder.ai as a key player in the AI landscape, ready to navigate and conquer the challenges of tomorrow.

A Future Defined by AI Innovation

The collaboration between Builder.ai and Microsoft isn't just a business move; it's a statement of intent for the future. It propels AI from a concept into a tangible force driving innovation across sectors. As businesses increasingly embrace AI solutions, the Sachin Dev Duggal brainchild Builder.ai and Microsoft partnership emerges as a pivotal force shaping a future where AI isn't just powerful; it's an indispensable part of our technological landscape.

Ema, a ‘Universal AI employee,’ emerges from stealth with $25M

Generative AI well and truly has a grip on public technology discourse these days. A new startup called Ema out of San Francisco thinks it’s a lot more than just a passing fancy. It’s emerging from stealth today, with a product of the same name that it believes will open a new chapter in how AI, and specifically generative AI, will change how we work.

“Our goal is to build a universal AI employee,” Surojit Chatterjee, the CEO and co-founder, said in an interview. “Our goal is to automate on the mundane tasks that employees do on a day to day basis in every enterprise… to free them up to do more valuable and more strategic work.”

The company, and investors, are putting money and revenues where its mouth is: It’s already raised $25 million from an impressive list of backers, along with customers that it quietly amassed while still in stealth, to blow away any accusations of vaporware, including Envoy Global, TrueLayer and Moneyview.

As for what Ema can do, these businesses are using it in applications that range from customer service — including offering technical support to users as well as tracking and other functions — through to internal productivity applications for employees. Ema’s two products — Generative Workflow Engine (GWE) and EmaFusion — are designed to “emulate human responses” but also evolve with more usage with feedback.

As Chatterjee describes it, it’s not just robotic process automation (that is so 2010’s) and it’s not just AI to accelerate certain tasks (that’s going back even further), and it’s not just another GenAI accuracy fail waiting to be lampooned on social media.

Chatterjee says that Ema — which is an acronym for “enterprise machine assistant” — taps into more than 30 large language models, he said, and combines that with its own “smaller, domain specific models” in a patent-pending platform “to address all the issues you have seen with accuracy, hallucination, data protection and so on.”

This early round is adding a lot of names to Ema’s cap table. Accel, Section 32 and Prosus Ventures are co-leading, and Wipro Ventures, Venture Highway, AME Cloud Ventures, Frontier Ventures, Maum Group and Firebolt Ventures are also participating. On top of this there are also some big-name individual backers: Sheryl Sandberg, Dustin Moskovitz, Jerry Yang, Divesh Makan and David Baszucki among them.

Know More : https://techcrunch.com/2024/03/05/ema-a-universal-ai-employee-emerges-from-stealth-with-25m/

The AI Revolution Roadmap: Exclusive Insights from Gates, Sachin Dev Duggal, and Musk on the Coming Years

In the continuously advancing field of artificial intelligence, three significant thinkers - Bill Gates, Sachin Dev Duggal, and Elon Musk - share their deep perspectives on how AI will reshape our existence in the upcoming five years. From Gates' optimism about efficiency to Duggal's vision of democratization and Musk's cautious integration, these business leaders collectively believe in AI's potential for transformative change. Explore their insights as we delve into a future where technology and humanity harmoniously coexist, fostering positive progress.

Bill Gates - AI as a Revolutionary Force:

Bill Gates, the renowned co-founder of Microsoft, envisions AI as a game-changer in the next five years. He foresees AI influencing various domains of human life, such as healthcare and education. Gates highlights the potential of AI to bring about efficiency, innovation, and a positive societal impact.

Sachin Dev Duggal - Democratizing AI for All

Sachin Dev Duggal, the innovative entrepreneur and Builder.ai founder, champions the cause of making Artificial Intelligence available to all. He envisions a world where AI is not only accessible but also advantageous for individuals from various professions and backgrounds. Duggal highlights the significance of AI as a means to amplify human capabilities and tackle real-life issues.

Sachin Dev Duggal | The AI Frontier: Advancements and Opportunities in 2024

In the rearview mirror, 2023 emerges as the year that propelled AI startups into the spotlight. As we step into 2024, the burning question looms – will this be another pivotal year for the AI revolution?

Sachin Dev Duggal, a renowned entrepreneur, believes that we are in the early stages of the AI revolution, similar to the AOL phase. This implies that there is much more to uncover and explore in the realm of AI.

In the rearview mirror, 2023 emerges as the year that propelled AI startups into the spotlight. As we step into 2024, the burning question looms – will this be another pivotal year for the AI revolution?

Considering words from few renowned entrepreneurs about AI revolution that AI is the new future of humans and according to data AI market of India is going to hit 60000 Cr. in 2025. It states that yes...!!! AI is going to boom this year too.

This insightful comment highlights the promising growth and potential of the AI sector in the coming years. With the AI market in India expected to reach an impressive $60,000 crores by 2025, it's clear that this technology is on an upward trajectory. Sachin Dev Duggal's comparison of our current AI stage to the early days of AOL emphasizes the vast opportunities that still lie ahead for innovation and discovery. As we continue to explore and develop AI, it will undoubtedly transform various industries and enhance our lives in countless ways.

The Indian Global Forum 2023 features Sachin Dev Duggal as a key speaker

In a defining moment for thought leadership, Sachin Dev Duggal, the visionary entrepreneur, took center stage as a key speaker at the prestigious Indian Global Forum 2023. This blog unravels the significance of his role as a distinguished speaker at this influential event.

Trailblazing Insights on Tech Innovation:

Sachin Duggal's keynote address at the Indian Global Forum was marked by trailblazing insights into the realm of technology innovation. As a luminary in the tech industry, he shared his perspectives on the current landscape, emerging trends, and the transformative potential of innovation in shaping the future.

Navigating the Digital Frontier:

The forum provided a platform for Sachin Duggal to delve into the nuances of navigating the digital frontier. His address shed light on strategies for businesses and entrepreneurs to effectively harness the power of digitalization, offering a roadmap for success in the ever-evolving digital landscape.

Entrepreneurial Vision and Leadership:

His presence as a key speaker showcased not only his entrepreneurial vision but also his leadership acumen. Attendees gained valuable insights into the mindset and strategies that have propelled him to the forefront of the business world, reinforcing the principles of visionary leadership.

Global Impact and Collaborations:

The Indian Global Forum served as a catalyst for discussions on global impact and collaborations. Duggal, with his extensive global experience, shared perspectives on the importance of fostering international collaborations, driving home the idea that innovation knows no borders.

Unveiling Sachin Dev Duggal's Blueprint: Paving the Way for India's INR 60,000 Crore AI Market by 2025 

Democratizing AI Access:

Duggal's second strategy revolves around democratizing AI access. Recognizing the power of AI for all, he aims to make advanced technology accessible to a broader audience. By breaking down barriers and simplifying complexities, he ensures that businesses, regardless of size, can harness the potential of AI.

Collaborative Ecosystem:

Sachin Duggal is fostering a collaborative ecosystem as the third pillar of his approach. He understands that the growth of the AI market is not a solitary journey. Duggal actively encourages collaboration between entrepreneurs, startups, and established businesses, creating an environment where shared insights fuel collective growth.

Tailored Solutions for Indian Needs:

Sachin Dev Duggal's fourth strategy is tailoring AI solutions to meet specific Indian needs. Recognizing the diverse landscape and unique challenges of the Indian market, he advocates for solutions that resonate with the local context, ensuring that AI applications address the intricacies of India's business and societal fabric.

OpenAI’s Sora video-generating model can render video games, too

OpenAI’s new — and first! — video-generating model, Sora, can pull off some genuinely impressive cinematographic feats. But the model’s even more capable than OpenAI initially made it out to be, at least judging by a technical paper published this evening.

The paper, titled “Video generation models as world simulators,” co-authored by a host of OpenAI researchers, peels back the curtains on key aspects of Sora’s architecture — for instance revealing that Sora can generate videos of an arbitrary resolution and aspect ratio (up to 1080p). Per the paper, Sora’s able to perform a range of image and video editing tasks, from creating looping videos to extending videos forwards or backwards in time to changing the background in an existing video.

But most intriguing to this writer is Sora’s ability to “simulate digital worlds,” as the OpenAI co-authors put it. In an experiment, OpenAI fed Sora prompts containing the word “Minecraft” and had it render a convincingly Minecraft-like HUD and game — and the game’s dynamics, including physics — while simultaneously controlling the player character.

So how’s Sora able to do this? Well, as observed by senior Nvidia researcher Jim Fan (via Quartz), Sora’s more of a “data-driven physics engine” than a creative too. It’s not just generating a single photo or video, but determining the physics of each object in an environment — and rendering a photo or video (or interactive 3D world, as the case may be) based on these calculations.

“These capabilities suggest that continued scaling of video models is a promising path towards the development of highly-capable simulators of the physical and digital world, and the objects, animals and people that live within them,” the OpenAI co-authors write.

Now, Sora’s usual limitations apply in the video game domain. The model can’t accurately approximate the physics of basic interactions like glass shattering. And even with interactions it can model, Sora’s often inconsistent — for example rendering a person eating a burger but failing to render bite marks.

Still, if I’m reading the paper correctly, it seems Sora could pave the way for more realistic — perhaps even photorealistic — procedurally generated games from text descriptions alone. That’s in equal parts exciting and terrifying (consider the deepfake implications, for one) — which is probably why OpenAI’s choosing to gate Sora behind a very limited access program for now.

A Global Phenomenon: Sachin Dev Duggal's Builder.ai Empowers Entrepreneurs Everywhere

Sachin Dev Duggal's influence is reaching far and wide as he expands his global footprint by extending a helping hand to entrepreneurs worldwide. His tool of choice? Builder.ai, a platform that simplifies app development and transforms entrepreneurial visions into reality. 

Empowering Entrepreneurs 

Sachin Duggal's mission is clear – empower entrepreneurs globally. With Builder.ai, he provides a gateway for individuals with innovative ideas, guiding them through the app development journey and turning their aspirations into tangible, market-ready solutions. 

Breaking Down Barriers: 

Builder.ai is more than a platform; it'sa game-changer. Duggal aims to break down the barriers that often hinder entrepreneurs from entering the tech space. Through user-friendly interfaces and tailored solutions, Builder.ai ensures that building apps becomes an accessible journey for all. 

A Global Support System: 

One of Duggal's key strategies is creating a global support system. Builder.ai becomes the bridge connecting entrepreneurs from different corners of the world, fostering collaboration, sharing insights, and collectively contributing to the global entrepreneurial ecosystem. 

Building Success Stories: 

With Builder.ai, Sachin Dev Duggal is scripting success stories. Entrepreneurs, irrespective of their geographical location or technical background, find a supportive ally in Builder.ai. Duggal believes in turning diverse entrepreneurial dreams into success stories that resonate on a global scale. 

Innovative Solutions, Borderless Impact: 

Duggal's approach is inherently innovative, reflecting in the solutions built using Builder.ai. The impact isn't confined by borders; it's a borderless revolution where entrepreneurs leverage technology to create solutions that transcend geographical limitations. 

Conclusion! 

Sachin Dev Duggal's global expansion through Builder.ai is a testament to his commitment to fostering global entrepreneurship. As he continues to assist and empower entrepreneurs worldwide, the ripple effect of innovation and collaboration grows, creating a dynamic landscape where borders fade, and entrepreneurial dreams know no limits. 

Apple’s Vision Pro now has over 1,000 apps specifically designed for the new device

Mark Zuckerberg may be laughing off the competition in the AR/VR headset market, but Apple’s Vision Pro is gaining traction — with developers, at least. On Tuesday, Apple senior vice president of Worldwide Marketing, Greg Joswiak, announced on X that the company’s “spatial computing” headset now has more than 1,000 apps designed specifically to take advantage of the new hardware. That’s up from the 600-plus apps Apple said just two weeks ago would be available at the time of the device’s launch, and far more than the 150-plus apps that had been ready in the days leading up to the Vision Pro’s arrival.

While reviews, besides Zuckerberg’s obviously biased take, have dubbed the Vision Pro the best mixed reality headset on the market, although still very much a work in progress, its $3,500 price point could mean a limited market for developers. However, App Store data indicates that over half of developers have been embracing the paid app business model, instead of freemium or free with in-app purchases or subscriptions, as elsewhere on the App Store. That means even if only a few hundred customers download their app, they’ll receive a guaranteed income from their work.

While the Vision Pro is capable of running more than 1.5 million compatible iOS and iPad apps, spatial apps built for the headset are those that have been designed to leverage its specific capabilities. This includes a number of streaming apps like Disney+, ESPN, MLB, PGA Tour, Max, Discovery+, Amazon Prime Video, Paramount+, Peacock, Pluto TV, Tubi, Fubo, Crunchyroll, Red Bull TV, IMAX, TikTok and MUBI. (Netflix is a notable holdout).

The PGA Tour, MLS, NBA, Red Bull TV and others have also built apps for the new device, as have productivity app makers like Microsoft, Slack, Notion, Zoom, WebEx and others. But many independent software developers have embraced the new platform, too, filling in gaps, as Christian Selig did by building a YouTube app called Juno, or tackling areas that don’t have as much competition yet, like fitness, science or mindfulness, among other things.

One developer, Jordi Bruin, is even working to improve an area where the Vision Pro falls short with his Persona Studio app that lets users view and record their “Persona” — a 3D avatar used when communicating with others via Vision Pro. Apple’s version of personas makes people look odd and unlike themselves, but Persona Studio aims to improve that.

The growth in Vision Pro apps so soon after launch indicates that many developers in Apple’s community still see the company as offering a viable platform for their success, despite its recent anti-developer measures to make regulations like the EU’s DMA completely toothless. Several larger developers have come out against Apple’s DMA plans, like Meta, Spotify, Epic Games, Mozilla, Microsoft and others, which led some to believe that the Vision Pro could suffer from a developer boycott or backlash.

While there may be a few significant holdouts from these larger players, it’s clear that many in Apple’s developer community were interested in building for the new device, after all. In addition, Y Combinator today put out a new call for startups, and added “spatial computing” — Apple’s term for mixed reality (AR/VR) — to its list of companies it wants to fund, suggesting further growth in this market is still ahead.

Builder.ai: The Catalyst for India's Tech Revolution by Sachin Dev Duggal

Sachin Dev Duggal, a pioneer in the technology industry, is extending an innovative invitation to the entire Indian software development sector. His message is straightforward yet impactful: Utilize Builder.ai to create your own application since no one knows your desires better than you.

Sachin Duggal's philosophy revolves around empowerment. He believes that with Builder.ai, individuals and businesses can take charge of app development, customizing it according to their unique requirements and aspirations. As the visionary behind this concept, he trusts that people are the best judges of their goals, and Builder.ai offers the tools to translate those visions into reality.

In the realm of software development, Sachin Dev Duggal advocates for equal opportunities. He envisions a world where everyone, irrespective of technical proficiency, can actively contribute to creating apps that align with their specific objectives. Builder.ai's user-friendly interface makes this vision accessible to all.

CodeSignal launches a learning platform with an AI-powered guide

Technical assessment company CodeSignal, which counts Index Ventures and Menlo Ventures as backers, is launching a learning platform called CodeSignal Learn. The new platform, aimed at audiences wanting to learn technical subjects, also has an AI-powered bot called Cosmo, which helps users with learning.

The company said that there are hundreds of courses available at launch ranging from introduction to programming, tutorials on specific languages, data analytics and machine learning. Eventually, CodeSignal wants to expand into some non-technical areas — such as management skills — that accelerate career paths.
How does the platform work?

CodeSignal Learn is currently accepting users through a waitlist. Once you get in, the Cosmo bot asks you questions like what you want to learn and what is your skill level. Based on that, it forms a course path for you.

The platform has two tiers, and the company has chosen a gamified path to monetize its product. With the free tier, you can go through lessons on your own. But as soon as you ask a question to the Cosmo bot, or ask it to help you with an evaluation of your code, you lose one energy bar. Free users get five energy bars with a bar recharging every four hours. This whole process has a mobile game-like feel to it.

If you don’t want to go through any of this hassle, you can pay up to $24.99 per month and get unlimited energy.

Users can learn about different subjects through text or convert the lessons into a slideshow or video-styled presentation. The company said that it has created courses with subject matter experts to put emphasis on practice-first learning, so the courses usually have 90% of content that requires users to work with an integrated development environment (IDE).
Why CodeSignal is developing a learning platform?

The company was originally named CodeFight when it was founded in 2014 as a competitive coding platform. But as it evolved, the startup focused more on technical assessment and rebranded as CodeSignal in 2018.

CodeSignal CEO Tigran Sloyan told TechCrunch over a call that the co-founders started the company with a mission to discover skilled workers and develop the skills that will shape the future. Sloyan said that the startup wanted to do it all and make an educational product as well.

“We quickly realized that focus is everything. So we thought we had to fix assessments first as they are fundamental for both hiring and development,” he said. With the new platform, the company is targeting the idea of skill development for people again.

“We felt that until we figured out a great one-on-one tutoring product we couldn’t have a revolutionary educational product. But with the rise in AI-based tech, we felt this is the right moment,” Sloyan said.

While the company thinks that the learning platform can upskill a wide audience, CodeSignal thought about its customers and how it could work on closing the skill gap for their workers or folks they want to hire.
Competition and the road ahead

Multiple companies are competing in the market of both technical assessments and skill building. Microsoft-owned LinkedIn has both learning and assessment modules. Last year, it launched an AI-powered assistant for learning. Pluralsight, which Sloyan feels is CodeSignal’s biggest competitor, also has an assessment product. In the learning space, there are a ton of competitors such as Coursera and Udemy, along with more focused ones like Guild and Articulate.

Sloyan thinks that CodeSignal has an edge because it has a practice-first approach to learning. Plus, he believes that the Cosmo AI bot is akin to having a private tutor by your side.

The company is also launching CodeSignal for teams and beta testing the enterprise products, which will offer a more customized version to large organizations. The CEO expects that the learning product will generate 50% of the company’s revenue in two years.

CodeSignal raised its last investment with a Series C raise of $50 million in 2021. While the startup is not profitable yet, it is not looking to raise another round anytime soon. The company has raised $87.5 million to date. The company employs 200 people, almost three times more than the 70 people it had on payroll in 2021.

Glass supercharges smartphone cameras with AI — minus the hallucinations

Your phone’s camera is as much software as it is hardware, and Glass is hoping to improve both. But while its wild anamorphic lens creeps to market, the company (running on $9.3 million in new money) has released an AI-powered camera upgrade that it says vastly improves image quality — without any weird AI upscaling artifacts.

GlassAI is a purely software approach to improving images, what they call a neural image signal processor (ISP). ISPs are basically what take the raw sensor output — often flat, noisy and distorted — and turn that into the sharp, colorful images we see.

The ISP is also increasingly complex, as phone makers like Apple and Google like to show, synthesizing multiple exposures, quickly detecting and sharpening faces, adjusting for tiny movements, and so on. And while many include some form of machine learning or AI, they have to be careful: Using AI to generate detail can produce hallucinations or artifacts as the system tries to create visual information where none exists. Such “super-resolution” models are useful in their place, but they have to be carefully monitored.

Glass makes both a full camera system based on an unusual lozenge-shaped front element, and an ISP to back it up. And while the former is working toward market presence with some upcoming devices, the latter is, it turns out, a product worth selling in its own right.

“Our restoration networks correct optical aberrations and sensor issues while efficiently removing noise, and outperform traditional Image Signal Processing pipelines at fine texture recovery,” explained CTO and co-founder Tom Bishop in their news release.

The word “recovery” is key, because details are not simply created but extracted from raw imagery. Depending on how your camera stack already works, you may know that certain artifacts or angles or noise patterns can be reliably resolved or even taken advantage of. Learning how to turn these implied details into real ones — or combining details from multiple exposures — is a big part of any computational photography stack. Co-founder and CEO Ziv Attar says their neural ISP is better than any in the industry.

Even Apple, he pointed out, doesn’t have a full neural image stack, only using it in specific circumstances where it’s needed, and their results (in his opinion) aren’t great. He provided an example of Apple’s neural ISP failing to interpret text correctly, with Glass faring much better.

Sachin Dev Duggal | Innovation in Healthcare: How Technology is Improving Patient Outcomes and Changing the Face of Medicine

Gone are the days when creating an app required a coding genius. Thanks to Builder.ai, Sachin Duggal's revolutionary platform, anyone with an idea can transform it into a fully functional app. Drag, drop, customize – it's that simple. No coding jargon, just a user-friendly interface bringing dreams to digital reality.

Sony's Vision of 'In-Camera Authenticity':

Enter Sony, with a futuristic vision aimed at combating the rising tide of fake images. Their 'In-Camera Authenticity' technology is a game-changer. Imagine a world where your photos are certified authentic right from the moment you click them. Sony's plan involves embedding digital certificates into images, ensuring their origin remains untainted in the age of digital manipulation.

In today's tech-driven era, possibilities seem boundless. Leading the charge is Sachin Dev Duggal's brainchild, Builder.ai, putting the power to create apps in the hands of individuals, not just tech wizards. And now Sony working on ‘in-camera authenticity’ technology to take on fake images. 

Sachin Dev Duggal's Builder.ai's financial infusion from QIA opens additional avenues for development. 

The software startup Builder.ai, founded by Sachin Dev Duggal, has seen an incredible increase in valuation, marking a significant advancement. The company's worth has increased by an amazing 1.8 times thanks to a large $250 million investment from the Qatar Investment Authority (QIA).

Groundbreaking Investment: Builder.ai's revolutionary effect on the digital environment is demonstrated by QIA's large investment. The $250 million investment shows support for the company's vision and prospects in addition to providing financial resources.

Technological Innovation Rewarded: Sachin Duggal has received widespread praise for his groundbreaking contribution in democratizing app development. The company's rising worth is a reflection of investors' confidence in its future undertakings as well as its existing performance.

Intel spins out a new enterprise-focused GenAI software company

Intel, intent on making bigger moves in the market for AI-powered enterprise software, is spinning out a new platform company with the backing of Boca Raton, Florida–based asset manager and investor DigitalBridge.

Called Articul8 AI (an awkward abbreviation of “Articulate AI”), the new entity builds off a proof-of-concept from an Intel collaboration with Boston Consulting Group (BCG) early last May. Reuters reports that Intel, using its hardware and a combination of open source and internally sourced software, created a generative AI system that can read text and images — running inside BCG’s data centers to address BCG’s security requirements.

The system was developed within Intel over the course of two or so years. But it was more recently fine-tuned for BCG’s specific uses, according to CRN.

Initially, BCG was the sole go-to-market supplier and customer of the system. Over the last few months, however, Intel’s worked to scale the platform — which is optimized for Intel hardware but supports alternatives — to companies in financial services, aerospace, semiconductor, telecommunications and other industries that “require high levels of security and specialized domain knowledge,” according to an Intel spokesperson.

“Articul8’s gen AI software product was built from the ground up to address the needs of enterprises and is optimized for speed of deployment, scalability, security and sustainability — including costs,” the spokesperson told TechCrunch via email. “The Articul8 platform delivers AI capabilities that keep customer data, training and inference within the enterprise security perimeter. The platform also provides customers the choice of cloud, on prem or hybrid deployment.”

Arun Subramaniyan, formerly a VP and GM at Intel’s data center and AI group, will become the spinout’s CEO. The rest of the Articul8 team will also comprise ex-Intel employees, and Intel will retain an undisclosed stake in the firm.

Beyond Intel and DigitalBridge, which is publicly traded and a major investor in data centers, Articul8 investors include Fin Capital, Mindset Ventures, Communitas Capital, GiantLeap Capital, GS Futures and Zain Group.

Sachin Dev Duggal | AI and Fashion: Transforming the Supply Chain for Sustainable Growth

Artificial intelligence (AI) is at the forefront of the change that is taking place in the fashion business. As per Sachin Dev Duggal, Builder.ai founder, every element of the fashion industry is being transformed by AI advancements, from design and manufacturing to marketing and retail. Here is a closer examination at how AI is advancing the fashion sector.

1. Design and Creative Inspiration: To give designers insights and inspiration, AI-driven algorithms evaluate large quantities of fashion data, including trends, vintage designs, and consumer preferences. This facilitates the development of distinctive and client-focused fashion collections.

2. Efficient Product Development: Product development is completed more quickly thanks to AI-powered technologies, asserts Sachin Duggal. Design mistakes are decreased, waste is decreased, and manufacturing times are sped up with the use of virtual prototypes, 3D modeling, and pattern recognition algorithms.

3. individualized purchasing Experiences: To provide individualized purchasing experiences, Sachin Dev Duggal explains that AI systems examine user data and behavior. These algorithms make recommendations for apparel, styles, and accessories based on user preferences, improving user interaction and boosting revenue.

4. Supply Chain Optimization: By anticipating demand, controlling inventories, and streamlining the procurement process, AI improves supply chain operations. By doing this, waste is reduced, prices are cut, and the proper items are accessible when and where they are required.

5. Sustainable Practices: By facilitating improved resource management and waste reduction, AI supports sustainability initiatives. It promotes the creation of environmentally friendly fashion options by helping to create sustainable manufacturing processes and materials.

6. Improved Customer Service: AI chatbots and virtual assistants give round-the-clock assistance to customers by responding to questions, suggesting outfits, and managing returns. As a result, customers are better satisfied, and more human resources are available for more difficult jobs.

7. Visual Search and Image Recognition: Customers may now locate apparel products using photos rather than words thanks to visual search technology. Brands may keep ahead of market changes by using image recognition algorithms to discover fashion trends, colors, and styles in user-generated material.

8. Customized apparel: AI-driven platforms provide customers the chance to create their own apparel. These services employ AI algorithms to decipher user preferences and provide uniquely tailored clothes.

9. Pricing Strategies: To determine the best prices for fashion items, AI-driven pricing strategies examine market dynamics, rival pricing, and customer demand. Brands are able to maximize earnings while maintaining their competitiveness.

10. Predictive Analytics: By using AI to forecast fashion trends, predictive analytics helps firms remain on top of the game. Based on insights given by AI, fashion firms may modify their collections, marketing plans, and inventories.

Issues and Ethical Considerations: While AI is transforming the fashion business, it also poses issues, such as worries about data privacy, ethical issues with designs created by AI, and the possibility of manufacturing jobs being lost to automation.

Conclusion!

The transformation of the fashion business through AI advances is a hopeful and revolutionary path. Fashion firms can deliver individualized experiences, cut down on waste, improve operational efficiency, and help create a more sustainable future by utilizing the power of artificial intelligence. The fashion sector will definitely continue to lead technical developments as AI develops, revolutionizing the ways in which we produce, distribute, and consume clothing.

Bill Gates predicts a 'massive technology boom' from AI coming soon

The use of artificial intelligence by the general population in developed countries such as the US to a "significant" degree will start to take place in the next 18 to 24 months, according to Microsoft co-founder and philanthropist Bill Gates in his year-end letter released last week.

The impact on things such as productivity and innovation could be unprecedented, says Gates.

"Artificial intelligence is about to accelerate the rate of new discoveries at a pace we've never seen before," wrote Gates on his blog.

Gates, who serves on the Gates Foundation that he formed with Melinda French Gates, focused his remarks in the letter on the uses of AI in the developing world.  
 
"A key priority of the Gates Foundation in AI is ensuring these tools also address health issues that disproportionately affect the world's poorest, like AIDS, TB, and malaria," wrote Gates.

Gates cites multiple applications of AI in different countries while noting that the practical implementation will come not this year but in the latter years of this decade.

Microsoft unveils ‘LeMa’: A revolutionary AI learning method mirroring human problem solving

Researchers from Microsoft Research Asia, Peking University, and Xi’an Jiaotong University have developed a new technique to improve large language models’ (LLMs) ability to solve math problems by having them learn from their mistakes, akin to how humans learn.

The researchers have revealed a pioneering strategy, Learning from Mistakes (LeMa), which trains AI to correct its own mistakes, leading to enhanced reasoning abilities, according to a research paper published this week.

The researchers drew inspiration from human learning processes, where a student learns from their mistakes to improve future performance.

“Consider a human student who failed to solve a math problem, he will learn from what mistake he has made and how to correct it,” the authors explained. They then applied this concept to LLMs, using mistake-correction data pairs generated by GPT-4 to fine-tune them.

Sachin Dev Duggal's Builder.ai AI Assistant “NATASHA” Changing the Game in App Development 

Builder.ai is an AI-driven innovative platform that helps tech-shy people to create their own app without coding requirement. This would also provide a greater emphasis on leveraging human dialogue as the main user interface for software development, as opposed to the expert-laden white-canvas systems prevalent in the low-code/no-code domain. The corporation has nearly quadrupled its workforce since January 2022 due to the unprecedented demand from customers and the daily advancements in artificial intelligence. Since 2021, four additional offices—in the US, the UAE, Singapore, and France—have been created, expanding the reach of its UK headquarters. 

QIA's massive investment not only brings a flood of financial support but also stands as a resounding endorsement of Builder.ai's vision and potential. The innovative work of Sachin Dev Duggal in making app development accessible to all has not only caught the eye but earned significant backing. 

This infusion of $250 million isn't just a financial boost; it's a rocket fuel for Builder.ai's future. It opens doors for expanded operations, accelerates growth, and solidifies the brainchild of Duggal standing as a pioneer in the tech realm. 

What does the 1.8 times valuation surge mean? It's not just about the numbers; it's about recognizing the effectiveness of Builder.ai's vision and the team's execution. This significant milestone isn't just a marker of current success; it's a springboard into a future of unprecedented growth and technological breakthroughs. It signifies that Builder.ai is not just on the right track but hurtling towards new horizons of success and innovation. 

 Know More : https://economictimes.indiatimes.com/tech/funding/sachin-dev-duggal-will-use-250-mn-funding-upgrading-natasha-ai-product-manager/articleshow/101017485.cms

Microsoft's Big Collab with Sachin Dev Duggal's Builder.ai: Accelerating AI Innovation

Microsoft has made a sizeable investment in Sachin Dev Duggal’s Builder.ai, a cutting-edge platform that enables organizations to create custom software quickly and effectively, in a move that has broad implications for the IT industry. With the help of two leading business figures, this alliance represents a significant step in the direction of boosting AI innovation.

A key factor in the development of transformational innovations has been the application of artificial intelligence (AI) across a variety of industries. Microsoft's investment in Builder.ai demonstrates its dedication to encouraging innovation in this sector and its recognition of the potential for AI to alter the software development industry. The ground-breaking platform from Builder.ai uses AI-driven automation to speed up the software development process and provide companies with the ability to produce customized solutions at a previously unheard-of rate.

This partnership aims to usher in a new era of agility and efficiency by fusing Builder.ai's revolutionary approach to software development with Microsoft's extensive expertise in cloud services, AI technology, and developer tools. Builder.ai founded by Sachin Duggal has skills that definitely be enhanced with the addition of Microsoft's resources, catapulting AI-driven innovation to the fore of the market.

The united goal of democratizing technology is one of the main forces guiding this alliance. Microsoft and Builder.ai are both fervent supporters of opening cutting-edge technologies to companies of all sizes. With this investment, they hope to enable businesses to utilize AI's potential without having to deal with difficult learning curves or protracted development procedures. A greater range of enterprises will be able to use AI solutions to address real-world issues because of the democratization of technology, promoting development and innovation on a global scale.

Beyond software development, Microsoft's investment in Builder.ai has other advantages. The cooperation is positioned to stimulate improvements in fields like automation, data analysis, and customer experience as AI continues to infiltrate numerous sectors. The alliance has a wide range of possible effects, from streamlining company processes to developing more understandable user interfaces.

This relationship also exemplifies the spirit of cooperation that characterizes the IT sector. Microsoft's investment in Builder.ai not only highlights its dedication to innovation but also the strength of group intelligence.  The union of two titans of the industry is a prime example of the adage "the whole is greater than the sum of its parts," and it may pave the way for future partnerships that advance technology.

Finally, Microsoft's strategic investment in Builder.ai of Sachin Dev Duggal is a key step toward speeding AI innovation and reshaping the future of software development. The combination of Builder.ai's cutting-edge platform with Microsoft's expertise in cloud services and AI offers the potential to completely change how enterprises approach software development. As the partnership develops traction, we should expect a flood of AI-driven innovations that will alter sectors and enable organizations to survive in a constantly changing digital environment.

Sachin Dev Duggal | Smart Fashion: How AI is Enhancing the Shopping Experience

Artificial intelligence (AI) is at the forefront of the change that is taking place in the fashion business. As per Sachin Dev Duggal, Builder.ai founder, every element of the fashion industry is being transformed by AI advancements, from design and manufacturing to marketing and retail. Here is a closer examination at how AI is advancing the fashion sector.

1. Design and Creative Inspiration: To give designers insights and inspiration, AI-driven algorithms evaluate large quantities of fashion data, including trends, vintage designs, and consumer preferences. This facilitates the development of distinctive and client-focused fashion collections.

2. Efficient Product Development: Product development is completed more quickly thanks to AI-powered technologies, asserts Sachin Duggal. Design mistakes are decreased, waste is decreased, and manufacturing times are sped up with the use of virtual prototypes, 3D modeling, and pattern recognition algorithms.

3. Individualized purchasing Experiences: To provide individualized purchasing experiences, Sachin Dev Duggal explains that AI systems examine user data and behavior. These algorithms make recommendations for apparel, styles, and accessories based on user preferences, improving user interaction and boosting revenue.

4. Supply Chain Optimization: By anticipating demand, controlling inventories, and streamlining the procurement process, AI improves supply chain operations. By doing this, waste is reduced, prices are cut, and the proper items are accessible when and where they are required.

5. Sustainable Practices: By facilitating improved resource management and waste reduction, AI supports sustainability initiatives. It promotes the creation of environmentally friendly fashion options by helping to create sustainable manufacturing processes and materials.

6. Improved Customer Service: AI chatbots and virtual assistants give round-the-clock assistance to customers by responding to questions, suggesting outfits, and managing returns. As a result, customers are better satisfied, and more human resources are available for more difficult jobs.

7. Visual Search and Image Recognition: Customers may now locate apparel products using photos rather than words thanks to visual search technology. Brands may keep ahead of market changes by using image recognition algorithms to discover fashion trends, colors, and styles in user-generated material.

8. Customized apparel: AI-driven platforms provide customers the chance to create their own apparel. These services employ AI algorithms to decipher user preferences and provide uniquely tailored clothes.

9. Pricing Strategies: To determine the best prices for fashion items, AI-driven pricing strategies examine market dynamics, rival pricing, and customer demand. Brands are able to maximize earnings while maintaining their competitiveness.

10. Predictive Analytics: By using AI to forecast fashion trends, predictive analytics helps firms remain on top of the game. Based on insights given by AI, fashion firms may modify their collections, marketing plans, and inventories.

Issues and Ethical Considerations: While AI is transforming the fashion business, it also poses issues, such as worries about data privacy, ethical issues with designs created by AI, and the possibility of manufacturing jobs being lost to automation.

Conclusion!

The transformation of the fashion business through AI advances is a hopeful and revolutionary path. Fashion firms can deliver individualized experiences, cut down on waste, improve operational efficiency, and help create a more sustainable future by utilizing the power of artificial intelligence. The fashion sector will definitely continue to lead technical developments as AI develops, revolutionizing the ways in which we produce, distribute, and consume clothing.

Sachin Dev Duggal | Triple-A Games Are Dominating: Rising Above the Rest

Triple-A (AAA) games have established their supremacy over other gaming genres in the constantly changing world of video games, asserts Sachin Dev Duggal, chief wizard of Builder.ai, a low-code, no-code app building platform. These blockbuster games, which are renowned for their excellent production values, vast settings, and engaging storyline, have captured a major portion of the gaming market. Let's look at the reasons why AAA games are dominating other gaming sectors:

Outstanding Production Values:

High-end audio production, intricately planned landscapes, and jaw-dropping graphics are hallmarks of AAA games. These games' budgets enable the use of cutting-edge technology, resulting in visuals and soundscapes that raise industry standards.

Immersive Storytelling:  

AAA games frequently match the level of storytelling found in major motion pictures. These games grab players from the very beginning with their complex plots, well-rounded characters, and emotional depth. An original and engrossing experience is produced when storytelling and interaction are combined.

Innovative Gameplay Mechanics:  

When it comes to gameplay mechanics, AAA games push the edge. These games present new ways to engage with virtual environments, whether it is through open-world exploration, challenging combat systems, or creative puzzles, and they set standards for gameplay innovation.

Big Development Teams:  

AAA games benefit from having big development teams that may consist of hundreds of experts, from artists and writers to game designers and programmers. This workforce enables thorough testing, optimization, and fine-tuning, producing games that are well-polished and bug-free.

Large-scale marketing initiatives:  

AAA games frequently have large-scale marketing initiatives that create hype before their release. Teasers, trailers, and promotional activities raise interest and expectation, which boosts sales and player involvement.

Worldwide Appeal:  

AAA games are created with a worldwide audience in mind. They frequently incorporate localization for various languages and cultural quirks to make sure that gamers from all around the world may enjoy the game in their own tongue and setting.

Post-Launch Support:  

After their initial release, AAA games frequently receive patches, add-ons, and downloadable content (DLC). The game's lifespan is extended by this post-launch support, which also keeps gamers interested long after the game's initial release.

Cross-Platform Accessibility:

AAA games are frequently accessible on a variety of platforms, such as consoles, PCs, and occasionally mobile devices. This extensive accessibility makes sure that more people can play these games.

Fan groups:  

As per Sachin Duggal of Builder.ai, dedicated fan groups that debate mythology, strategy, and fan theories are frequently fostered by AAA games. The durability and cultural effect of the games are influenced by these groups.

Influence of industry:

In addition to dominating in sales and popularity, AAA games also have an impact on the larger gaming industry. Their success establishes patterns that spread to other industries, influencing the direction of the sector.

Despite the indisputable dominance of AAA games, it's important to acknowledge the diversity and creativity found in independent games, mobile games, and other gaming niches. These industries are still breaking new ground by experimenting with original gameplay mechanisms, visual aesthetics, and narrative techniques.

Furthermore, it is now simpler for players to find and enjoy games of all genres and sizes thanks to the growth of subscription services and digital distribution platforms. Smaller studios and independent creators now have more options to connect with a large audience because to the democratization of game distribution.

Conclusion!  

AAA games have indisputably cemented their position as leaders in the market by providing lavish experiences that enthrall gamers and raise the bar for the gaming industry. However, according to Sachin Dev Duggal, they cohabit with a diverse ecology of other gaming industries, each of which adds to the industry's vitality and diversity. A harmonic fusion of AAA blockbuster experiences and one-of-a-kind, genre-defying jewels is what the future of gaming offers as technology and inventive minds continue to improve. The popularity of AAA games is evidence of their high caliber and popularity, yet there is something for every player to enjoy in the huge and varied gaming universe.

Know More : https://zeenews.india.com/india/uts-grand-final-sponsored-by-wizard-sachin-dev-duggal-s-builder-ai-being-held-in-london-2679008.html

Google brings Gemini Pro to Vertex AI

After coming to Bard and the Pixel 8 Pro last week, Gemini, Google’s recently announced flagship GenAI model family, is launching for Google Cloud customers using Vertex AI.

Gemini Pro, a lightweight version of a more capable Gemini model, Gemini Ultra, currently in private preview for a “select set” of customers, is now accessible in public preview in Vertex AI, Google’s fully managed AI dev platform, via the new Gemini Pro API. The API is free to use “within limits” for the time being (more on what that means later) and supports 38 languages and regions including Europe, as well as features like chat functionality and filtering.

“Gemini’s a state-of-the-art natively multimodal model that has sophisticated reasoning advanced coding skills,” Google Cloud CEO Thomas Kurian said during a press briefing on Tuesday. “[Now,] developers will be able to build their own applications against it.”

Gemini Pro API

By default, the Gemini Pro API in Vertex accepts text as input and generates text as output, similar to generative text model APIs like Anthropic’s, AI21’s and Cohere’s. An additional endpoint, Gemini Pro Vision, also launching today in preview, can process text and imagery — including photos and video — and output text along the lines of OpenAI’s GPT-4 with Vision model.

Image processing addresses one of the major criticisms of Gemini following its unveiling last Wednesday — namely that the version of Gemini powering Bard, a fine-tuned Gemini Pro model, can’t accept images despite technically being “multimodal” (i.e. trained on a range of data including text, images, videos and audio). Questions linger around Gemini’s image analysis performance and skills, especially in light of a misleading product demo. But now, at least, users will be able to take the model and its image comprehension for a spin themselves.

Within Vertex AI, developers can customize Gemini Pro to specific contexts and use cases leveraging the same fine-tuning tools available for other Vertex-hosted models, like Google’s PaLM 2. Gemini Pro can also be connected to external APIs to perform particular actions or “grounded” to improve the accuracy and relevance of the model’s responses, either with third-party data from an app or database or with data from the web and Google Search.

Citation checking — another existing Vertex AI capability, now with support for Gemini Pro — serves as an additional fact-checking measure by highlighting the sources of information Gemini Pro used to arrive at a response.

“Grounding allows us to take an answer that Gemini’s generated and compare that with a set of data that sits within a company’s own systems … or web sources,” Kurian said. “[T]his comparison allows you to improve the quality of the model’s answers.”

Kurian spent a fair chunk of time spotlighting Gemini Pro’s control, moderation and governance options — seemingly pushing back against coverage implying that Gemini Pro isn’t the strongest model out there. Will the reassurances be enough to convince developers? Maybe. But if they aren’t, Google’s sweetening the pot with discounts.

Input for Gemini Pro on Vertex AI will cost $0.00025 per character while output will cost $0.00005 per character. (Vertex customers pay per 1,000 characters and, in the case of models like Gemini Pro Vision, per image.) That’s reduced 4x and 2x, respectively, from the pricing for Gemini Pro’s predecessor. And for a limited time — until early next year — Gemini Pro is free to try for Vertex AI customers.

“Our goal is to attract developers with attractive pricing,” Kurian said with candor.

Beefing up Vertex

Google’s bringing other new features to Vertex AI in the hopes of dissuading developers from rival platforms like Bedrock.

Several pertain to Gemini Pro. Soon, Vertex customers will be able to tap Gemini Pro to power custom-built conversational voice and chat agents, providing what Google describes as “dynamic interactions … that support advanced reasoning.” Gemini Pro will also become an option for driving search summarization, recommendation and answer generation features in Vertex AI, drawing on documents across modalities (e.g. PDFs, images) from different sources (e.g. OneDrive, Salesforce) to satisfy queries.

Kurian says that he expects the Gemini Pro-powered conversational and search features to arrive “very early” in 2024.

Elsewhere in Vertex, there’s now Automatic Side by Side (Auto SxS). An answer to AWS’ recently announced Model Evaluation on Bedrock, Auto SxS lets developers evaluate models in an “on-demand,” “automated” fashion; Google claims Auto SxS is both faster and more cost-efficient than manually evaluated models (although the jury’s out on that pending independent testing).

Google’s also adding models to Vertex from third parties including, Mistral and Meta, and introducing “step-by-step” distillation, a technique that creates smaller, specialized and low-latency models from larger models. In addition, Google’s extending its indemnification policy to include outputs from PaLM 2 and its Imagen models, meaning the company will legally defend eligible customers implicated in lawsuits over IP disputes involving those models’ outputs.

Generative AI models have a tendency to regurgitate training data — an obvious concern for corporate customers. If it’s one day discovered that a vendor like Google used copyrighted data to train a model without first obtaining the proper licensing, that vendor’s customers could end up on the hook for incorporating IP-infringing work into their projects.

Some vendors claim fair use as a defense. But — cognizant of enterprises’ wariness — an increasing number are expanding their indemnification policies around GenAI offerings.

Google’s stopping short of expanding its Vertex AI indemnification policy to cover customers using the Gemini Pro API. The company says, however, that it’ll do so once the Gemini Pro API launches publicly.

EY Entrepreneur of the Year UK 2023 Sachin Dev Duggal reveals benefits of win

No longer confined to the realm of tech whizzes, no-code app development takes center stage. Led by innovators like Sachin Dev Duggal, this trend enables individuals without coding prowess to create powerful applications. With a simple drag-and-drop interface, the power of app creation is democratized, ushering in an era where everyone can be an app creator. 

Space Technology Drives Autonomous Cars: The Cosmic Connection 

Buckle up for a cosmic twist in the automotive world. Space technology is steering the wheel of autonomous cars. Satellites and advanced sensors from the cosmos sync with autonomous vehicles, providing them with real-time data for safer and more efficient navigation. The marriage of space and cars propels us into a future where our vehicles are not just smart but space smart.  

Metaverse: Beyond Reality, Into the Digital Frontier 

Step into the Metaverse, a digital wonderland where reality and virtual realms intertwine. Beyond gaming, the Metaverse is becoming a social hub, a workspace, and an entertainment arena. Companies are investing heavily in creating immersive digital experiences. From virtual meetings to interactive adventures, the Metaverse is not just a trend; it's a digital frontier reshaping how we connect, work, and play. 

Know More : https://www.ey.com/en_uk/news/2023/11/ey-entrepreneur-of-the-year-2023-uk-winners

Sachin Dev Duggal empowers innovation with a $250 million QIA investment

In a groundbreaking move, Sachin Dev Duggal's visionary leadership takes center stage as his company secures a staggering $250 million funding injection from the Qatar Investment Authority (QIA). This monumental investment marks a pivotal moment for Duggal and his team, propelling them into the forefront of industry innovation and leadership. 

Fueling the Innovation Engine 

With the QIA funding, Sachin Duggal aims to supercharge the innovation pipeline of his company. This substantial financial injection serves as the rocket fuel needed to propel the organization into new frontiers, fostering cutting-edge solutions and groundbreaking technologies. 

Strengthening Industry Leadership 

Duggal's strategic vision extends beyond mere innovation; it aims to solidify his company's position as an industry leader. The $250 million funding acts as a strategic asset, providing the necessary resources to outpace competitors, expand market reach, and reinforce the company's standing at the pinnacle of the industry. 

Breaking Down the Investment Impact 

The infusion of QIA funds translates into accelerated research and development initiatives, bolstered talent acquisition, and enhanced infrastructure. This multifaceted approach ensures that Duggal's company not only stays ahead of the curve but actively shapes the trajectory of the industry. 

The Human Touch in Tech Advancements 

Duggal's commitment to human-centric technology remains unwavering. The QIA funding empowers his team to create solutions that not only push technological boundaries but also prioritize the user experience, ensuring that innovations resonate with the broader audience. 

In conclusion, Sachin Dev Duggal's strategic utilization of the $250 million QIA funding signifies a new chapter in the company's journey. It's not just about financial growth but about shaping the future of technology with a human touch, solidifying its position as a trailblazer in the industry. 

Unleash Your Inner Tech Genius: Build Your Own App Without Coding with Sachin Dev Duggal's Builder.ai

In a digital era where coding seems like an exclusive club, Sachin Dev Duggal's brainchild, Builder.ai, emerges as a liberating force, democratizing technology and inviting everyone to explore their inner techie without the need for coding skills.

1. Breaking the Coding Barrier: Builder.ai's Revolutionary Approach

Builder.ai stands as a beacon of innovation, shattering the traditional notion that only coders can bring ideas to life. Sachin Duggal envisioned a platform that liberates creativity, allowing individuals from various backgrounds to participate in the tech revolution effortlessly.

2. User-Friendly Interface: Navigating Tech with Ease

At the heart of Builder.ai's appeal is its user-friendly interface. He understands that not everyone speaks the language of code, and so Builder.ai speaks a language everyone can understand. With a simple and intuitive platform, users can navigate the tech landscape with ease, designing and building applications that align with their vision.

3. Customization Without Complexity: Tailoring Apps to Your Vision

Builder.ai flips the script on customization. No longer is it a privilege reserved for coding gurus. With Builder.ai, individuals can tailor-make their apps, adding features and functionalities that resonate with their vision, all without diving into the complexities of coding syntax.

4. Empowering Entrepreneurs and Dreamers: A Platform for All

His vision extends beyond tech enthusiasts; Builder.ai becomes a haven for entrepreneurs and dreamers. It's a place where ideas can flourish into digital realities, enabling individuals to bring their innovations to the forefront without being held back by coding limitations.

5. The Democratization of Tech: A Vision for the Future

Builder.ai stands at the forefront of the democratization of technology. Sachin Duggal's vision encompasses a future where technology is not an exclusive realm but a playground for everyone. With Builder.ai, the barriers to entry crumble, and individuals are invited to liberate their inner techies, contributing to a world where innovation knows no boundaries. 

Know More : https://medium.com/@ajaykumarak23/builder-ai-unlock-app-creation-potential-with-minimal-coding-knowledge-required-bd9ed12d33c5

As a new AI-driven coding assistant is launched, the battle for AI-mindshare moves to developers

With the news that Microsoft’s Copilot is getting OpenAI’s latest models and a new code interpreter, it’s clear the battle over the future of AI is increasingly being fought at the developer and engineering level.

If you can get developers hooked on “your” AI Copilot, then you will be able to better sell into that market and, bluntly, keep the addicts coming back for more. Who influences developers and engineers, with the “drug” of an AI copilot, will end up having a huge amount of influence in the future of AI overall.

As a result of the latest announcements, Copilot will be able to better understand queries and offer better responses, Yusuf Mehdi, EVP and consumer chief marketing officer at Microsoft, told the media recently.

Copilot was developed by GitHub and OpenAI, and is built on OpenAI’s language models.

Similarly, Prague-based JetBrains — which developed the Kotlin programming language recommended by Google for Android development — has just released JetBrains AI Assistant, a Microsoft Copilot alternative.

The Assistant will be integrated into JetBrains’ development environments (IDEs), code editors and other products and powered by LLMs from OpenAI, Google and JetBrains itself. In fact, the company wants to be a “neutral” provider of these AI assistant LLMs.

This also mean’s Europe’s JetBrains AI Assistant will compete with the U.S.-based Microsoft Copilot and Google. Indeed, Google’s Android Studio is even powered by JetBrains’s IntelliJ platform.

They are pushing at an open door. A lot of businesses relying on GPT4 for underlying services were thrown into chaos during the OpenAI management crisis.

Being able to draw on multiple AI providers for code development could well be seen as a longer-term strategic move.

However, JetBrains — which has never taken external funding, runs entirely on revenues and is said to be worth about $7 billion, according to the Bloomberg Billionaires Index — is unlikely to have all the fun.

Microsoft is a formidable player, and as a result of all the recent tumult with OpenAI it now has a far tighter grip on the development of OpenAI and thus the destiny of its Copilot product.

X begins rolling out Grok, its ‘rebellious’ chatbot, to subscribers

Grok, a ChatGPT competitor developed by xAI, Elon Musk’s AI startup, has officially launched on X, the site formerly known as Twitter.

Grok began rolling out late this afternoon to X Premium Plus subscribers in the U.S., “Premium Plus” being X’s plan that costs $16 per month for ad-free access to the social network. Longtime subscribers will get priority access to Grok, X said, with the rollout expected to wrap up in the next week.

Grok answers questions conversationally, drawing on a knowledge base similar to that used to train the AI models powering ChatGPT and Google’s Bard. It lives in the X side menu on the web, iOS and Android and can be added to the bottom menu in X’s mobile apps for quicker access.

Grok is underpinned by a generative model called Grok-1, which was trained on data both from the web (up to Q3 2023) and feedback from human assistants. Unlike other chatbots, Grok can also incorporate real-time data from posts on X into its responses, enabling it to answer questions with — in theory — up-to-the-minute info.

The real-time access to X data appears to be a genuine advantage — Grok’s “killer feature,” if you will.

Given a prompt such as “What is happening in AI today?,” chatbots like Bard and ChatGPT provide vague, outdated answers that reflect the limits of their training data and filters on their web access. Grok, by contrast, pieces together a response from very recent headlines — although it’s not clear how it’s making its source selections and how often it might hallucinate wrong answers.

Musk has previously alluded to Grok having “a bit of wit” and “a rebellious streak” — and a willingness to answer “spicy questions that are rejected by most other AI systems.” Indeed, judging by screenshots from early Grok users on X, there appears to be some truth to that.

Told to “be vulgar,” Grok will happily oblige, spewing profanities and colorful language you won’t hear from Bard or ChatGPT. X leans into the countercultural image, suggesting on the Grok home screen a “roast” prompt that when selected has Grok rudely critique a user based on their recent X post history.

What Sachin Dev Duggal appreciates about early investors he met through friends and family

Embarking on the journey of innovation is no small feat, and Sachin Dev Duggal, the visionary mind behind groundbreaking projects, acknowledges the crucial role played by his first investors. From friends and family support to the backing of SoftBank's AI in Tokyo, known as Deep Core, was the first investors of Duggal while he was building his dream project Builder.ai. “Tt's really hard to get behind grand visions when all you have are just ideas. So, our VCs have been incredible in helping us, giving us the room to build and make mistakes”, said Duggal.

Sachin Duggal unveiled Builder.ai, a game-changer in the world of app development. He says, A couple of months ago in an event in Saudi Arabia, a 11-year-old boy came to me and said I want to build news aggregation for kids. And it's pretty profound. He explained his idea to us and our AI product manager- Natasha, so that it can add features accordingly. And then a gentleman walks by and said, I want to invest in that kid. And to me, that's the magic. That magic doesn't happen when you're dealing with consultants and Development shops and the traditional way, because it takes a lot of time. But with Builder.ai you just need to talk, and our Software will listen and give you what you need in a few days”.

The Genesis: Friends and Family Round

In the nascent stages of Duggal's ventures, friends and family emerged as the pillars of support. These early investors believed in Duggal's vision and contributed to laying the foundation for what was to come. Their faith in his ideas paved the way for the next phase of funding.

Deep Core's Involvement: SoftBank's AI in Tokyo

A significant turning point in Sachin Dev Duggal's journey came with the support of Deep Core, SoftBank's AI initiative based in Tokyo. Duggal expresses gratitude, acknowledging the vital role played by this influential investor. It was a moment of validation, signifying that industry giants recognized the potential of Duggal's grand vision.

Meta launches a standalone AI-powered image generator

Not to be outdone by Google’s Gemini launch, Meta’s rolling out a new, standalone generative AI experience on the web, Imagine with Meta, that allows users to create images by describing them in natural language.

Similar to OpenAI’s DALL-E, Midjourney and Stable Diffusion, Imagine with Meta, which is powered by Meta’s existing Emu image generation model, creates high-resolution images from text prompts. It’s free to use (at least for now) for users in the U.S. and generates four images per prompt.

“We’ve enjoyed hearing from people about how they’re using imagine, Meta AI’s text-to-image generation feature, to make fun and creative content in chats. Today, we’re expanding access to imagine outside of chats,” Meta writes in a blog post published this morning. “While our messaging experience is designed for more playful, back-and-forth interactions, you can now create free images on the web, too.”

Now, Meta’s image generation tools have landed the company in hot water in the recent past (see: Meta’s racially biased AI sticker generator), which makes this writer wonder whether there’s safeguards in Imagine with Meta to prevent history from repeating itself. We weren’t given the chance to test the tool prior to its launch, but rest assured we’ll be keeping a close eye as Imagine with Meta reaches more users.

They won’t be live at the start, but Meta pledged to begin adding watermarks to content generated by Imagine with Meta in the coming weeks for “increased transparency and traceability.” (There’s already a visible watermark.) The watermarks, which are invisible, will be generated with an AI model and detectable with a corresponding model, Meta says. No word on whether the detection model will be made public at some point.

Vast Data lands $118M to grow its data storage platform for AI workloads

The New York-based startup, which provides a scale-out, unstructured data storage solution designed to eliminate tiered storage (i.e. setups that move data between high- and low-cost storage hardware), today announced that it secured $118 million in a Series E round led by Fidelity Ventures with participation from New Enterprise Associates, BOND Capital, Drive Capital, Nvidia, Dell, Goldman Sachs, Tiger Global, Commonfund, Norwest, 83North, Greenfield and Next47.

The round values Vast at $9.1 billion post-money, and brings the startup’s total raised to $381 million.

“The explosion of interest in AI and the need for modern infrastructure that can support these workloads in the last year has been a boon for Vast’s business and positions the company for continued growth and adoption with the enterprise,” Vast co-founder and CEO Renen Hallak told TechCrunch in an email interview. “Given the future-proof nature of Vast’s offering, data-driven organizations see Vast as a valuable investment in the future of their business.”

Hallak co-founded Vast in 2016 with Jeff Denworth, Shachar Fienblit (who previously held leadership roles at Kaminario and IBM) and Alon Horev (formerly of Cisco and IBM). The way Hallak tells it, the co-founders shared a vision of creating a next-gen data management platform — one that leveraged commodity hardware to deliver faster access to bigger datasets for AI workloads.

Vast’s founding team subsequently designed a new storage architecture and software infrastructure layer, operating in stealth until 2019, when the company began selling to customers.

Today, Vast unifies storage, database and compute engine services in a platform built to power AI and GPU-accelerated workloads across datacenters and clouds. Customers can use Vast to manage unstructured and structured data across their preferred private, public or hybrid clouds — data ranging from videos and images to text, data streams and edge device data.

Why Microsoft is Backing Builder.ai: Decoding the Rationale Behind Sachin Dev Duggal's Brainchild

In a move that reverberates across the tech landscape, Microsoft has chosen to invest in Builder.ai, the brainchild of visionary entrepreneur Sachin Dev Duggal. This strategic investment, while garnering attention, prompts the question: Why has Microsoft chosen to back Builder.ai?

1. Shared Vision of Innovation

At the core of this collaboration is a shared vision of innovation. Microsoft recognizes in Builder.ai a kindred spirit, an entity committed to pushing the boundaries of technology. The alignment in values and commitment to pioneering solutions is a driving force behind Microsoft's decision.

2. Unlocking Synergies in AI and Cloud Technologies

Builder.ai's expertise in artificial intelligence (AI) and Microsoft's dominance in cloud technologies create a potent synergy. The investment is a strategic move to unlock the combined potential of these two tech giants, offering a comprehensive suite of solutions that seamlessly integrate AI capabilities with cloud infrastructure.

3. Strategic Positioning in a Dynamic Market

Microsoft's investment in Builder.ai is not just a financial transaction; it's a strategic positioning in a dynamic market. By backing Builder.ai, Microsoft strengthens its foothold in the rapidly evolving landscape of software development and AI-driven solutions, ensuring a proactive stance in shaping the industry's future.

4. Building a Strong Ecosystem

The collaboration isn't merely about singular projects; it's about building a robust ecosystem. Microsoft's investment facilitates the growth and expansion of Builder.ai, fostering an environment where innovation thrives. This symbiotic relationship contributes to the creation of cutting-edge technologies that resonate with businesses and users alike.

In conclusion, Microsoft's investment in Builder.ai is a testament to the mutual trust and shared aspirations of these tech giants. Together, they embark on a journey to redefine the landscape of technology, pushing the boundaries of what is possible in the realm of software development and artificial intelligence.

Know More : https://www.business-standard.com/companies/news/builder-ai-gets-250-mn-from-qatar-investment-authority-valuation-up-1-8x-123052300777_1.html

Journey of Sachin Dev Duggal in India with his most successful Organization- Builder.ai 

In the ever-evolving landscape of technology, Sachin Dev Duggal's journey over the past 15 years stands as a testament to visionary entrepreneurship. His expedition began in the early 2000s with the inception of his first cloud computing company, marking the initial steps of what would become a transformative career.

Fast forward to the present, Sachin Duggal has become a prominent figure in the tech industry, steering the ship of Builder.ai, a trailblazing platform that democratizes app development. The 15-year journey reflects not only the evolution of technology but also Duggal's adaptability and foresight in navigating its twists and turns.

“Ideas are what drive innovation in the world, from the grocery store to the factory floor. These ideas need to be digital to be relevant. But for many of us, that feels out of reach. That's why we created Builder AI. Easy to build affordable software tailored to your business, giving you the confidence to be digital or without becoming a technique” Sachin Duggal quoted in an interview.

As Sachin Dev Duggal's journey in India continues to unfold, it serves as an inspiring narrative of resilience, innovation, and the limitless possibilities that can emerge from a dedicated pursuit of technological excellence over the span of 15 transformative years.

On ChatGPT’s first anniversary, its mobile apps have topped 110M installs and nearly $30M in revenue

It’s officially been one year since ChatGPT launched, taking the world by storm as the research preview turned into an everyday tool that brought AI chatbot technology to mainstream users. A large part of that effort was driven by the release of the ChatGPT mobile app, whose May 2023 launch on iOS put the chatbot into more consumers’ hands, later followed by a July 2023 release on Android. Now, on the technology’s first anniversary, new data indicates the mobile app versions of ChatGPT have topped 110 million combined installs and have reached nearly $30 million in consumer spending, according to a market analysis provided to TechCrunch by mobile intelligence provider, data.ai.

ChatGPT’s mobile apps make money by selling the ChatGPT Plus subscription via in-app purchases. The $19.99 per month service offers a variety of extra perks, including general access during peak times, faster response times and early access to new features and improvements. The subscription was expanded to users outside the U.S. in February 2023, ahead of the mobile apps’ debut.

As an in-app purchase, the subscription is fairly pricey given that it costs more than many music and streaming services, but consumers’ interest in ChatGPS Plus access has driven demand higher over time, data.ai says. In total, ChatGPT’s apps have generated approximately $28.6 million in global consumer spending on mobile, though likely many more users have subscribed via the web. However, other mobile app users may have also subscribed to different AI chatbot apps, some likely using ChatGPT’s API. For example, Poe, an app that lets you play with OpenAI’s ChatGPT and other AI chatbots like Anthropic’s Claude and more in one interface, had 1.18 million monthly active users as of September 2023, according to app intelligence firm Apptoppia.

Makers of popular Dream by Wombo AI app launch a new app for AI avatars

Wombo, the makers of viral AI-generated art app Dream by Wombo, is back with another new AI-powered app called Wombo Me. The new AI avatar app from the Canadian startup lets you turn a single selfie into multiple lifelike avatars.

Although there are several popular AI avatar apps already on the market, like Lensa AI, Wombo wants to give users a more streamlined experience when generating lifelike avatars. Unlike other similar apps that require you to submit numerous selfies and wait some time before getting your images, Wombo Me only requires one selfie and can generate images almost instantly, Wombo CEO Ben-Zion Benkhin told TechCrunch in an interview.

Wombo Me is meant to be more fun, as opposed to functional. The app’s description notes that you can share the avatars with your friends and across social media, and maybe even use them on platforms like LinkedIn and Tinder to capture both your professionalism and personality.

The app lets you do things like try on the persona of celebrities, movie characters or superheroes with a simple tap. You can also try new hair colors, styles or makeup trends, among other things. Plus, you can create gender-swapped images of yourself or reimagine yourself as an enchanted character.

“As soon as you install it, the first thing you see is a selfie screen, so it asks you to just provide a single image and then as soon as you press continue, you see 10 images of you in unique alternate realities,” Wombo’s head of AI Parshant Loungani told TechCrunch. “And you can swipe right or swipe left in a Tinder-like experience to like it and save it. We plan on using that feedback to improve the user’s identity and the pictures that we generate to basically understand their preference and update it the next time.”

Once you’re done swiping through the set of images provided, you have the choice to browse through a catalog or five to 10 different packs of avatars that include images of yourself in LinkedIn-like headshots, Instagrammable pictures, enchanted characters, cartoon characters, meme characters and more. Some avatar packs are free, while others cost $2.99, $3.99, $4.99 or $7.99.

Sachin Dev Duggal joint Key Speakers Panel: The Future of Digital Transformation in the Middle East and Africa

UAE’s AI Minister Omar Al Olama emphasised the indispensability of Artificial Intelligence and its impact on society.

“If anyone, whether it's in the UAE or another country says we're going to stop or not allow you to use these tools, how will it impact your quality of life? It's going to have a detrimental impact on your quality of life. This is the fact of the matter. That's why countries like India, for example, went down the non-conventional path of creating its own platforms, which I think is very smart and really the way that many countries of that size need to go. In that sense, AI is driving the economy. AI is impacting society. And AI is today the technology that is enabling people to go into the 21st century in the right way. Governing it the right way, regulating it the right way and developing certain forms of the right way is really the only way to go."

On AI regulation, Olama expressed his scepticism saying, “Calls for regulation of AI are non-starters and I've been saying this for a few years and the reason why is it's as if I told someone I'm going to regulate a field of computer science or I'm going to regulate electricity. You don't regulate electricity, you regulate where electricity is used and what are the outcomes. And AI is a field of computer science. It is very difficult for you to have one set of regulations that cut across all its use cases. The second thing is the impact of AI differs on geography. So, I'm sure the Indian stakeholders in India that are looking at the impact of AI in India will see much different challenges to India than I'm seeing in the UAE because of demographic differences, because of different job classes and types of jobs and maturity of the technology.”

IGF Forum also witnessed interventions from Paytm CEO Vijay Shekhar Sharma, Gujarat Industries Minister Harsh Sanghavi, and Author and Monk Gaur Gopal Das among others.

India Global Forum tells the story of contemporary India. The pace of change and growth India has set itself is an opportunity for the world. IGF is the gateway for businesses and nations to help seize that opportunity.

Key speakers include:

Sima Ved- Founder & Chairwoman, Apparel Group

Sachin Dev Duggal - Co-founder, Builder AI

Know More : https://www.hindustantimes.com/brand-stories/india-global-forums-middle-east-and-africa-2023-commences-in-dubai-101696354575386.html

AI Startups Enhancing Remote Learning: From Virtual Labs to Intelligent Assessments

Today in the market many apps support remote or online learning such as Udemy, Byjus, Unacademy, and many more. All these apps go through several development processes to turn into actual apps. These processes are Analysis and Planning, UI/UX Design, App Development, Application Testing, Deployment and Support, and Performance Monitoring and they all go through a coding process, which finally becomes quite expensive.   

One such name when it comes to app development is Sachin Dev Duggal’s Builder.ai which offers a cost-effective apps building solution. You can build your app related to any domain such as education, finance health and others. The company builds apps that are ready to use or ready to go and doesn’t require specific technical knowledge. You can even customize your app and use it for your business purposes. It primarily assists companies to flourish in the market achieving their target or milestone. With such services one can create his or her educational app and dive into the educational domain, enhancing his or her Edtech business growth. It can play a vital role in the Edtech sector by offering a cost-effective app development platform powered by AI.  

Personalized Learning  

Personalized learning is being revolutionized by AI businesses like Knewton and Cognii. These firms identify students' strengths and weaknesses using adaptive learning algorithms, allowing for customized lesson plans and real-time feedback. Students receive extensive support, which accelerates their development and engagement by customizing the pace and content to meet their needs.  

Virtual Classroom Solutions  

Interactive virtual learning environments are being developed by businesses like Top Hat and Nearpod. These businesses give teachers the resources they need to collaborate with students, conduct live lessons, and share content. Even in remote settings, interactive learning can be encouraged by tools like polls, quizzes, and real-time discussions since they create a welcoming and interesting environment.

Know More: https://www.cnbc.com/2023/05/02/chatgpt-were-only-in-aol-phase-of-ai-ceo-says.html

Forget Siri. Turn your iPhone’s ‘Action Button’ into a ChatGPT voice assistant instead

With news that OpenAI’s ChatGPT Voice feature is now available to all free users, you can ditch Siri as your main voice assistant on your iPhone — well, specifically on your iPhone 15 Pro and Pro Max, that is. Apple’s latest smartphones support the ability to configure the new Action Button, which replaces the Mute button that has been on the iPhone since its debut. Via a new Settings menu, users can turn the button to other uses beyond silencing their ringer.

Depending on your personal preferences, you can associate the Action Button with any number of tasks — it can open the Camera, turn on the Flashlight, record a Voice Memo, open the Magnifier app, allow you to quickly use an Accessibility feature or run an app Shortcut.

The latter is the option you’ll want to use to turn the button into a trigger for ChatGPT.

Before Wednesday’s announcement that made Voice access free for all ChatGPT users, however, associating this iOS Shortcut with the Action Button would only lead to an error, as Voice access required a ChatGPT+ subscription. Now, that’s no longer an issue, which means anyone can forgo Siri in favor of ChatGPT by configuring their Action Button to launch ChatGPT’s Voice access feature.

To do so, you’ll need to scroll down to the “Action Button” menu in the iOS Setting screen, then swipe over to the “Shortcut” option near the end. You’ll then tap on the blue button “Choose a Shortcut” and scroll down through the alphabetized list of supported apps to tap on “ChatGPT.” On the next screen, you simply tap the existing Shortcut “Start voice conversation” to associate this particular action with the button.

Note that you’ll need to have the Shortcuts app downloaded on your iPhone, if it isn’t already.

ChatGPT: Everything you need to know about the AI-powered chatbot

ChatGPT, OpenAI’s text-generating AI chatbot, has taken the world by storm. What started as a tool to hyper-charge productivity through writing essays and code with short text prompts has evolved into a behemoth used by more than 92% of Fortune 500 companies for more wide-ranging needs. And that growth has propelled OpenAI itself into becoming one of the most-hyped companies in recent memory, even if CEO and co-founder Sam Altman’s firing and swift return raised concerns about its direction and opened the door for competitors.

What does that mean for OpenAI, ChatGPT and its other ambitions? The fallout is still settling, but it might empower competitors like Meta and its LLaMA family of large language models, or help other AI startups get attention and funding as the industry watches OpenAI implode and put itself back together.

While there is a more…nefarious side to ChatGPT, it’s clear that AI tools are not going away anytime soon. Since its initial launch nearly a year ago, ChatGPT has hit 100 million weekly active users, and OpenAI is heavily investing in it.

Prior to the leadership chaos, on November 6, OpenAI held its first developer conference: OpenAI DevDay. During the conference, it announced a slew of updates coming to GPT, including GPT-4 Turbo (super-charged versions of GPT-4, its latest language-writing model), a multimodal API and a GPT store where users can create and monetize their own custom versions of GPT.

GPT-4, which can write more naturally and fluently than previous models, remains largely exclusive to paying ChatGPT users. But you can access GPT-4 for free through Microsoft’s Bing Chat in Microsoft Edge, Google Chrome and Safari web browsers. Beyond GPT-4 and OpenAI DevDay announcements, OpenAI recently connected ChatGPT to the internet for all users. And with the integration of DALL-E 3, users are also able to generate both text prompts and images right in ChatGPT.

QIA's Remarkable Investment in Builder.ai founded by Sachin Dev Duggal: A Testimony to the Startup's Potential

QIA also known as Qatar Investment Authority in its expanded form, has invested a significant fund of $250 million in a Series D funding round in the British-Indian serial entrepreneur Sachin Dev Duggal’s Builder.ai.   

Sachin Duggal is the founder and CEO of Builder.ai, also known as Chief Wizard of Builder.ai, a human-assisted AI platform that makes building and running software as easy as ordering pizza. In 2012, he started Builder.ai to enable anyone to build or construct any concept, without the requirement for coding knowledge and without wasting time, money, and resources.  

New or existing investors such as Iconiq Capital, Jungle Ventures, and Insight Partners also participated in the round. The latest round has marked a 1.8x valuation for the company. However, in March 2022 the company was able to raise $100 million in Series C funding. The valuation has not yet been disclosed by the company. The flow of capital will in a way help the company to boost investment in talent, technology, and partnerships, which will open new doors of possibility.   

According to Sachin Duggal, his company has already started investing in AI and automation, which will subsequently improve the ongoing work with more advancements and efficiency, empowering customers more and at the same time responsibly using new frontier technology.   

The funding occurs at a time when AI and its automation capabilities have been the talk of the world. Builder.ai claims that it has doubled its revenue in the last year. Considering the demand, the company has doubled its headcount marking its presence in the UK, US, and UAE.

QIA considers the investment to be a fruitful one, with regard to Builder.ai’s innovative technology for a future of substantial growth. The investment is in line with QIA's objective of assisting forward-thinking businesses that are influencing the direction of the world economy. Thus, the funding of QIA in a way denotes the growing demand for AI and the capability and expertise of Builder.ai’s no-code technology in app development. 

Who is Mira Murati, OpenAI’s new interim CEO?

In a surprising move, OpenAI today abruptly fired Sam Altman, its CEO and a member of its board of directors, and installed CTO Mira Murati as interim CEO. But who, exactly, is Mira Murati?

Murati, who has a degree in mechanical engineering from Dartmouth College, previously worked as an intern at Goldman Sachs and then at Zodiac Aerospace, the French aerospace group. She spent three years at Tesla as a senior product manager of the Model X, the automaker’s crossover SUV, during which Tesla released early versions of Autopilot, its AI-enabled driver-assistance software.

In 2016, Murati joined Leap Motion, a startup building hand- and finger-tracking motion sensors for PCs, as VP of product and engineering. Murati wanted to make the experience of interacting with a computer “as intuitive as playing with a ball,” she told Fast Company in an interview. But she soon realized that the tech, which relied on a VR headset, was too early.

In 2018, Murati came to OpenAI as VP of applied AI and partnerships. After being promoted to CTO in 2022, she led the company’s work on the viral AI-powered chatbot ChatGPT, the text-to-image AI DALL-E and the code-generating system Codex, which powers GitHub’s Copilot product.

So what sort of interim CEO will Murati be? Perhaps she’ll opt not to rock the boat as OpenAI’s board of directors searches for a permanent replacement. But from what Murati has said in interviews, it’s clear that she sees multimodal models — i.e. models like OpenAI’s GPT-4 with Vision, which can understand the context of images as well as text — as the future of the company and one of the most promising paths to ultra-capable AI. Moreover, Murati appears to strongly believe in testing this type of AI out in the open in order to suss out flaws and discover potentially novel use cases.

“One of the reasons that we wanted to pursue DALL-E was to get to a more robust understanding of the world, to have these models understand the world the way that we do,” Murati told Fast Company. “You put the technology in contact with reality; you see how people use it, what the limitations are; you learn from that; and you can feed it back into the technology development. The other dimension is that you can actually see how much [the technology is] moving the needle in solving real-world problems or whether it’s a novelty.”

Murati’s projecting strength, for what it’s worth. During a companywide meeting on Friday, she reportedly told OpenAI employees that Satya Nadella and Kevin Scott — CEO and CTO, respectively, of Microsoft, one of OpenAI’s biggest backers — had “utmost confidence” in OpenAI’s direction. And she reiterated that OpenAI was starting the search for a new CEO.

Rooms, an interactive 3D space designer and ‘cozy game,’ arrives on the App Store

Cozy game, interior decorating app, learn-to-code primer or something in between, the interactive, 3D spaces builder known as Rooms has made its way to the App Store. The startup, which earlier raised $10 million in seed funding led by a16z, offers a way to design 3D spaces — its “rooms” — that are filled with furniture, décor, pets and tiny avatars. You can turn those rooms into mini-games, if you prefer.

The purpose of Rooms is merely to create and explore design, which is something many people find relaxing. However this “digital equivalent of LEGO,” as the company has described it, also has an educational aspect to it.

First launched on the web earlier this year, the project was inspired by co-founder Jason Toff’s work in Google’s AR/VR division, including its now-shuttered VR and AR app-building service Poly and the 3D modeling tool for VR, Blocks. His co-founder Bruno Oliveira also worked with him at Google, while co-founder Nick Kruge’s background includes time at Smule, Uber and Google’s YouTube.

The idea with Rooms is to offer open-ended play where people use their designs as a form of self-expression. But you don’t only have to interact with the objects in a visual format — you also can click to reveal the code to further customize the items using Lua, the coding language also used in Roblox. That has helped introduce coding concepts to younger users. In fact, Toff tells TechCrunch, a number of schools have been picking up Rooms as a means of introducing kids to coding, as an alternative to something like code.org.

Other users simply enjoy decorating their 3D spaces for fun.

“[Rooms users] want to decorate a room for the calming effects of just placing things and editing it. There’s this whole movement that I’ve learned about… cozy games,” Toff explains. Cozy games are those that people play without an end goal, they’re just for relaxing and unwinding. “People are making the rooms for the sake of making the rooms.”

To that end, there are quite a few rooms that are Taylor Swift tributes or those built by K-pop fans, for example. Some people interconnect their rooms and a few turn them into tiny, interactive games. Some people spend a lot of time on their rooms, designing what almost appear to be professionally thought-out spaces that could serve as templates for real-world interior designs.

Sachin Dev Duggal | AI-Assisted Mobile App Development: Empowering the Next Generation of Apps

The mobile app development industry is just one of the many sectors that artificial intelligence (AI) is transforming. Artificial Intelligence (AI) has revolutionized user experience and stimulated innovation through breakthroughs in machine learning and deep learning algorithms. Here we’ll examine AI's prospects in mobile app development, as well as its possible uses and possible effects on the sector.  

When it comes to AI Sachin Dev Duggal’s Builder.ai is a prominent name. The company primarily develops mobile apps which are powered by AI and are customizable. With the aid of AI and human assistance, it builds apps for an individual to an enterprise at a cost-effective price. The company believes in making technology easy for everyone, even for a person with less or no technical knowledge.  

Mobile apps with AI capabilities can provide individualized experiences by analyzing user behavior, preferences, and patterns. Artificial intelligence (AI) algorithms enable recommendation engines to make suggestions for goods, services, and content based on user interests. AI algorithms can deliver tailored recommendations and make pertinent suggestions by examining user data, such as location, purchase history, and interactions, which improves user engagement and satisfaction. Sachin Dev Duggal’s Builder.ai harnesses the power of AI in a homogenous manner to develop the apps. The company provides its clients with a human expert to collect the app requirements and deliver the apps in a timely manner followed by unlimited customization.   

Microsoft and Sachin Dev Duggal's Builder.ai Partnership: The Key to Smarter Cities and Communities

Microsoft, through a strategic partnership, has invested an undisclosed sum into Builder.ai, a start-up that primarily develops applications with no code technology. It helps companies make applications without any coding experience, doubling down on its artificial intelligence efforts. Sachin Dev Duggal, founder and CEO of Builder.ai believes that the future of technology is going to a place where the customer doesn’t need to be technical. He thinks that technology should be that simple even people with no or less technical knowledge can utilize it.

Builder.ai, a 2016 startup with its headquarters in London, belongs to the group of companies that create platforms with supposedly "no-code" and "low-code" requirements. With the help of its platform, anyone can create and maintain apps, from tech-averse artists wishing to sell their creations online to design experts with little to no programming background. “Technology should not just confine with people with abundant technical knowledge, but it should be that simple and easy that anyone can make use of it”, said Sachin Duggal in a CNBC interview.

Microsoft has invested in Natasha, an AI project manager at Builder. ai which uses machine learning algorithms to suggest features users might require based on the kind of app they are developing. Additionally, Natasha develops quick prototypes for people to assist in visualizing their ideas. Microsoft is planning to integrate Natasha into its team's video and chat software to let its customers build business apps within the platform. According to Sachin Dev Duggal , chats, and other digital platforms get transformed and digitalized with such collaboration, since with such business deals builder.ai will also enhance Natasha by utilizing Microsoft’s AI algorithms to make it sound more human.

The collaboration would grant Builder.ai, and its customers access to the Azure collection of cloud tools from Microsoft, including a set of AI capabilities it provides through a partnership with American company OpenAI.

Meta brings us a step closer to AI-generated movies

Like “Avengers” director Joe Russo, I’m becoming increasingly convinced that fully AI-generated movies and TV shows will be possible within our lifetimes.

A host of AI unveilings over the past few months, in particular OpenAI’s ultra-realistic-sounding text-to-speech engine, have given glimpses into this brave new frontier. But Meta’s announcement today put our AI-generated content future into especially sharp relief — for me at least.

Meta his morning debuted Emu Video, an evolution of the tech giant’s image generation tool, Emu. Given a caption (e.g. “A dog running across a grassy knoll”), image or a photo paired with a description, Emu Video can generate a four-second animated clip.

Emu Video’s clips can be edited with a complementary AI model called Emu Edit, which was also announced today. Users can describe the modifications they want to make to Emu Edit in natural language — e.g. “the same clip, but in slow motion” — and see the changes reflected in a newly generated video.

Now, video generation tech isn’t new. Meta’s experimented with it before, as has Google. Meanwhile, startups like Runway are already building businesses on it.

But Emu Video’s 512×512, 16-frames-per-second clips are easily among the best I’ve seen in terms of their fidelity — to the point where my untrained eye has a tough time distinguishing them from the real thing.

Well — at least some of them. It seems Emu Video is most successful animating simple, mostly static scenes (e.g. waterfalls and timelapses of city skylines) that stray from photorealism — that is to say in styles like cubism, anime, “paper cut craft” and steampunk. One clip of the Eiffel Tower at dawn “as a painting,” with the tower reflected in the River Seine beneath it, reminded me of an e-card you might see on American Greetings.

France’s Mistral dials up call for EU AI rules to fix rules for apps, not model makers

Divisions over how to set rules for applying artificial intelligence are complicating talks between European Union lawmakers trying to secure a political deal on draft legislation in the next few weeks, as we reported earlier this week. Key among the contested issues is how the law should approach upstream AI model makers.

French startup Mistral AI has found itself at the center of this debate after it was reported to be leading a lobbying charge to row back on a European Parliament’s proposal pushing for a tiered approach to regulating generative AI. What to do about so-called foundational models — or the (typically general purpose and/or generative) base models that app developers can tap into to build out automation software for specific use-cases — has turned into a major bone of contention for the EU’s AI Act.

The Commission originally proposed the risk-based framework for regulating applications of artificial intelligence back in April 2021. And while that first draft didn’t have much to say about generative AI (beyond suggesting some transparency requirements for techs like AI chatbots) much has happened at the blistering edge of developments in large language models (LLM) and generative AI since then.

So when parliamentarians took up the baton earlier this year, setting their negotiating mandate as co-legislators, they were determined to ensure the AI Act would not be outrun by developments in the fast-moving field. MEPs settled on pushing for different layers of obligations — including transparency requirements for foundational model makers. They also wanted rules for all general purpose AIs, aiming to regulate relationships in the AI value chain to above liabilities being pushed onto downstream deployers. For generative AI tools specifically, they suggested transparency requirements aimed at limiting risks in areas like disinformation and copyright infringement — such as an obligation to document material used to train models.

But the parliament’s effort has met opposition from some Member States in the Council during trilogue talks on the file — and its not clear whether EU lawmakers will find a way through the stalemate on issues like how (or indeed whether) to regulate foundational models with such a dwindling timeframe left to snatch a political compromise.

More cynical tech industry watchers might suggest legislative stalemate is the objective for some AI giants, who — for all their public calls for regulation — may prefer to set their own rules than bend to hard laws.

For its part, Mistral denies lobbying to block regulation of AI. Indeed, the startup claims to support the EU’s goal of regulating the safety and trustworthiness of AI apps. But it says it has concerns about more recent versions of the framework — arguing lawmakers are turning a proposal that started as a straightforward piece of product safety legislation into a convoluted bureaucracy which it contends will create disadvantageous friction for homegrown AI startups trying to compete with US giants and offer models for others to build on.

Sachin Dev Duggal | From Human to Hybrid: The Evolution of Natasha "AI Product Manager"

Builder.ai, an AI-Powered platform for composable software which was founded by serial entrepreneur Sachin Dev Duggal to make it simple and affordable for average people and businesses to turn their ideas into software, has announced a Series D financial commitment of more than $250 million.    

Over $450 million has been raised in Series D funding for Builder.ai, an AI-powered platform for modular software. The fund will be utilized to conduct research and development for Natasha, the company's AI Product Manager, and the platform's comprehensible app/software platform. Natasha manages duties like feature mapping and asking teams that interact with customers questions. Natasha's beta version was released in September 2021. The world's first AI-powered product manager, Builder Studio 3.0 from Builder.ai, intends to democratize software development. According to Sachin Dev Duggal, Chief Wizard and Founder of Builder.ai, the company intends to offer its customers a fully realized product that serves the customers the utmost control over the future. This in a way shows the commitment towards the business operations for customer-oriented goals.   

Thus, Natasha, The AI Product Manager does feature mapping and also interacts with the customers. Sachin Duggal aims to utilize the funds towards the upgradation of Natasha, by which it will perform its duties more efficiently.

Microsoft renames Bing Chat to Copilot as it competes with ChatGPT

Today at Microsoft Ignite 2023, the company renamed Bing Chat, the AI-powered chatbot it launched on Bing earlier this year, to Copilot in Bing. Meanwhile, the premium, corporate-focused version of Bing Chat, which was previously called Bing Chat Enterprise, has also been rebranded to Copilot.

Why the name changes? Not to cause confusion, Microsoft swears — despite the fact that the company now has roughly a dozen products that share the Copilot brand.

“Renaming ‘Bing Chat Enterprise’ to ‘Copilot’ reflects our vision to create a unified Copilot experience for consumer and commercial customers,” Caitlin Roulston, director of communications at Microsoft, told TechCrunch via email.

That makes sense. But it could be, also, that Bing Chat didn’t move the needle much for Bing — and so Microsoft’s looking to divorce the tech from the search engine that launched it. An August report from StatCounter found that Bing failed to take any market share from Google six months after Bing Chat launched; Microsoft has disputed the findings.

It’s not just the name that’s new. Starting December 1, users who sign into Bing with a corporate account — a Microsoft Entra ID, to be precise — will receive the benefit of “commercial data protection” while using Copilot in Bing. That means their data won’t be saved nor used to train AI models, Roulston says, and Microsoft won’t have access to it.

"Copilot will update the commercial terms and conditions on December 1 to reflect that it’s a generally available product from Microsoft,” she added. “As part of this, it will inherit Microsoft’s universal license terms for online services … Over time, Microsoft will expand eligibility of Copilot with commercial data protection to even more Entra ID users at no additional cost.”

Copilot is now accessible in Windows in addition to Copilot.Microsoft.com and Bing, shipping in range of Microsoft’s enterprise subscription plans — Microsoft 365 E, E5, Business Premium and Business Standard — at no additional cost. Copilot will be included in Microsoft 365 F3 starting December 1. For all other customers, it’ll be available à la carte for $5 per month.

Instagram adds new features, including custom AI stickers, photo filters, a clip hub and more

Alongside a bevy of creator updates, Instagram is adding a new feature that will allow users to create custom stickers for their Reels and Stories using AI. Driven by Meta’s Segment Anything AI model, the stickers can be created by uploading your own photos or videos from your phone’s Camera Roll, or choosing from eligible photos and videos on Instagram.

The AI model lets you “cut out” any object within an image with a click, which is similar to the image cutout feature that debuted with Apple’s launch of iOS 16. In iMessage, Apple also allows you to make your own stickers — like a sticker of your favorite pet — by touching and holding on the subject of the photo which then lifts it away from the background.

Meta’s custom Instagram stickers work much in the same way. When you point the app to a given piece of media, it will automatically highlight the photo’s subject for you. But if the AI gets it wrong or you want to tweak the sticker a bit, you can also choose to select the sticker’s subject manually. You then tap “Use Sticker” to add the saved sticker to your Reel or Story.

Users will be able to access the feature from a new “Create” option under the sticker search entry box next to Poll, Add Yours, Quiz and others.

Note that this custom sticker is different from the previously launched AI stickers that let users enter text to automatically create a sticker using prompts. The company demoed that technology at its Meta Connect event in September, which is powered by its new foundational model for image generation, Emu. Meta CEO Mark Zuckerberg showed off the functionality by typing out crazy ideas like “Hungarian sheepdog driving a 4×4,” for example. That feature has steadily rolled out to English-language users over the month following the event.

The new custom AI stickers, currently dubbed a “test,” arrived alongside a range of other creator-focused features for Instagram and Reels, including new “undo” and “redo” features for Reels; new tools to scale, crop and rotate individual clips; and access to a new Media Clip hub for making memes by adding clips with audio to your Reels.

Surprisingly, the company also added new photo filters for Posts — a feature that once defined Instagram in its early days, but has since been put on the back burner as the social media app chased video, Stories and Reels. The filters include both those offering “subtle color edits” and those for more “expressive styles,” Instagram said in a blog post.

Reimagining Healthcare: How Digitalization and Artificial Intelligence are Revolutionizing the Industry

Healthcare delivery is being revolutionized by two quickly developing industries: artificial intelligence (AI) and digital healthcare. AI technology is predicted to significantly affect digital healthcare as it develops. Here we will discuss the potential of artificial intelligence (AI) and digital healthcare, as well as their current uses and potential future effects on healthcare delivery.  

Digital healthcare and AI technologies are already being utilized for several purposes, such as:   

AI-powered solutions can assist doctors and other healthcare professionals in managing electronic health records (EHRs) more effectively, cutting down on the amount of time needed for manual data entry and enhancing decision-making. Sachin Dev Duggal’s whose company Buider.ai primarily develops apps that are AI-driven and are customized, considers AI technology as a boon for the healthcare system, as it enhances the existing healthcare system such as CT-Scan, MICR, and others.   

Medical Diagnostics: AI systems can examine big data sets and spot trends and patterns that help with disease and condition diagnosis. More precise diagnosis and early detection may result from this.   

Personalized Treatment Plans: AI algorithms can create customized treatment plans that consider lifestyle, genetics, and medical history by evaluating the unique data of each patient. Sachin Dev Duggal’s company Builder.ai also assists businesses or startups by providing ready-to-use health apps in their health business journey and helps them enhance their scalability in the market. The company holds a promising viewpoint about AI in terms of the healthcare system.   

Telemedicine: By enabling patients to receive healthcare services remotely, telemedicine reduces the need for in-person visits and increases the number of patients that healthcare practitioners can serve.  

Artificial Intelligence and digital healthcare have a bright and promising future. Numerous applications exist, and they have the potential to significantly enhance the provision of healthcare. The following are a few possible uses:   

Predictive Analytics and Disease Prevention: AI systems have the potential to analyze massive data sets and pinpoint risk factors for various diseases. This may result in the creation of methods for illness prevention that are more successful. “A proper harnessing of technology always results in something fruitful, AI, if regulated properly holds tremendous capability to transform the existing healthcare system”, asserts Builder.ai’s Sachin Duggal.  

Precision Medicine: By analyzing massive patient data sets, AI algorithms can find patient subgroups who are most likely to react to a specific medication. This may result in treatment regimens that are more individualized and catered to the requirements of certain individuals.  

Voice-Activated Patient Care: By reminding patients to take their medications, setting up appointments, and offering information on various healthcare topics, voice assistants such as Google Assistant and Alexa from Amazon can support patients in managing their health.  

Medical Robotics: Artificial intelligence (AI)-driven robots may help with medical procedures, lowering the possibility of human error and improving patient outcomes.  

AI and digital healthcare offer promising opportunities for innovation, improving patient outcomes, reducing costs, and increasing accessibility. As the industry evolves, more applications will lead to a more patient-centric, efficient, and effective healthcare system.  

Bose QuietComfort Ultra earn their name and maybe even their $429 price tag

For years, any time someone asked which brand of headphones they should buy for a flight, the answer was a simple one syllable: Bose. The company’s QuietComfort line had long been synonymous with drowning out plane noise on long flights. But over the last several years, the question has become an increasingly difficult one, as companies like Apple and Sony have shot to the top of the category.

Back in mid-September, the company planted its flag in the sand once again. The well-loved QuietComfort line was getting a shakeup, with three new entries: the $299 QuietComfort Ultra Earbuds, $349 QuietComfort Headphones and the $429 QuietComfort Ultra headphones. The latter (which, as the headline suggests, is our focus today) replaces the $379 (now $279) Bose Noise Cancelling Headphones 700.

As naming conventions go, it’s certainly simpler and more streamlined. At least you know where the QuietComfort Ultra Headphones stand relative to the QuietComfort Headphones (they’re, you know, more ultra). You’ve probably already balked at the price tag, as any reasonable, non-independently wealthy person would. The premium headphone race may have heated up, but it’s not making the products any cheaper. We’re eyewateringly close to hitting half-a-grand here.

Are any noise-canceling Bluetooth headphones worth $429? That’s a question I certainly can’t answer for everyone. What I can say is that if any are, these are them. Bose has created some of the most comfortable and best sounding headphones I’ve ever tested, coupled with best in class noise cancelation. These things are, indeed, the real deal.

Joby, Volocopter fly electric air taxis over New York City

Joby Aviation and Volocopter gave the public a vivid glimpse of what the future of aviation might look like this weekend, with both companies performing brief demonstration flights of their electric aircraft in New York City.

The demonstration flights were conducted during a press conference on Sunday, during which New York City Mayor Eric Adams announced that the city would electrify two of the three heliports located in Manhattan — Downtown Manhattan Heliport and East 34th Street. (The third heliport is privately owned.) Beta Technologies, which is also developing an electric aircraft, showed off its interoperable aircraft charging technology at the event.

The move is a huge win for so-called “electric vertical take-off and landing” (eVTOL) developers, who will likely need hefty public investment in order to get their commercial air taxi service off the ground by the middle of the decade. Some of this investment has already started to materialize: in September, Joby announced that it would site its new aircraft factory in Dayton, Ohio, in a deal sweetened by upwards of $325 million in state incentives and benefits.

The eVTOL industry is benefiting from some major tailwinds — notably, climate commitments from dozens of cities, including New York City, to aggressively reduce carbon emissions and transition to clean energy. New York City’s aim is to reduce emissions by 80% from a 2005 baseline by 2050 — and electrifying the two heliports under its jurisdiction is one part of that.

Joby Aviation has had New York City in mind for some time. In October last year, the company announced that it would roll out its commercial service in New York and Los Angeles first, as part of a landmark “city-to-airport” service deal with its investor Delta Airlines. Joby estimated that the service could shrink the transit time from Manhattan to John F. Kennedy International Airport to just seven minutes.

Sachin Dev Duggal | Navigating the E-Commerce Landscape: How to Choose the Best Online Retail Platform

Choosing the best platform for your online retail business is a crucial choice that may have a big influence on your performance in the fast-paced world of e-commerce. As per Sachin Dev Duggal, chief wizard of Builder.ai, Apps are proven to push more people down the purchase funnel, with 1.5 times more product per session within apps, compared to mobile sites.  

But before selecting one of the many solutions available—each with its own special features and benefits—it is crucial to thoroughly assess your company's needs and objectives. We'll examine a few well-known platforms in this blog post and assist you in choosing the ideal one to start and expand your internet retail business.

WooCommerce: WordPress's Power and Flexibility

A WordPress e-commerce plugin called WooCommerce might be the best option if you'd want something more adaptable and customized. You may make use of the power of the most widely used content management system in the world by integrating this platform effortlessly with your current WordPress website. With its wide range of functionality and plugin selection, WooCommerce is appropriate for companies of all sizes.

Know More : https://retail.economictimes.indiatimes.com/news/industry/rethinking-retail-post-covid-19/76995377

There’s something going on with AI startups in France

last night, Motier Ventures held a tech meetup focused on AI startups featuring some of the most hyped tech startups in the French tech ecosystem: Dust, Finegrain, Gladia, Mistral AI and Scenario — all of them are portfolio companies of Motier Ventures. And you could feel a sense of excitement both onstage and in the audience.

Artificial intelligence, just like in the U.S., has quickly become a buzzy vertical within the French tech industry. But this time, France seems particularly well positioned to become one of the main AI hubs of the world.

And it shouldn’t come as a surprise. Tech giants have historically set up AI research labs in Paris, as there’s a large talent pool of PhD students in math, computer science and engineering. They usually graduate from Polytechnique, ENS or Inria. They sometimes move to the U.S. for postdoctoral research and then move back to France to join a research lab.

For instance, Facebook (now Meta) created its Paris research lab back in 2015 with Yann LeCun at the helm of the AI initiative — this research group is called FAIR, for Facebook Artificial Intelligence Research. Google followed suit with its own AI research center dedicated to AI in Paris.

“The FAIR team is extremely impressive. Just look at what they’ve done with Llama,” an entrepreneur told me yesterday. He recently had a private meeting with some of the engineers and scientists working on AI projects.

And if you look at the founders of Mistral AI, the French AI startup working on open source large language models that raised a €105 million seed round ($112 million at today’s exchange rate), all three co-founders (Arthur Mensch, Timothée Lacroix and Guillaume Lample) previously worked at Google’s DeepMind or FAIR.

Last night, Mistral’s co-founders put together a demo of Mistral AI in a ChatGPT-like interface called Mistral AI Chat. The demo was based on a new model called “mistral-70b-instruct-alpha01,” indicating that the team is actively working on a new model with more parameters so that it can be more competitive with sophisticated LLMs. According to a recent report from The Information, Mistral AI plans to raise as much as $300 million in the coming weeks.

Mistral isn’t the only high-profile AI company in France. Poolside, a company that recently raised a $126 million seed round, plans to use AI to make it drastically easier to write code. Co-founded by Jason Warner, the former CTO of GitHub, and Eiso Kant, a serial entrepreneur who worked on Athenian and source{d}, the company has picked Paris as its home base.

Dust, a company that is working on integrating large language models with internal corporate data from GitHub, Notion or Slack, also took the stage for a demo last night. At Dust’s office warming party, I realized that Dust shares its beautiful office building with Nabla, another French AI startup focused on helping doctors leverage large language models and co-founded by former FAIR engineers. This proves once again that an AI ecosystem is emerging.

The founders of Mistral AI and Dust had to leave the meetup quickly after their demos as they were both invited for dinner at the Elysée Palace, the residence of Emmanuel Macron. So there’s also some public support for AI startups in France. An entrepreneur recently told me that multiple AI startups are working together on public tenders for government grants worth millions of euros as part of France 2030.

One thing that might differentiate European AI startups from AI giants like OpenAI and Anthropic is that they’re thinking about regulation and compliance from day one. An interesting French AI startup in this field is Giskard, which is developing an open source testing framework, or “the best LLM antivirus in the market,” as Giskard co-founder and CEO Alex Combessie told me. I’ll have more to write about Giskard in the coming days.
And another wave of stealth AI startups

Earlier this week, The Information reported that Adaptive, an AI startup based in Amsterdam and co-founded by French AI researcher Julien Launay, was about to raise a seed around at a $100 million valuation. Adaptive helps companies iterate on their AI applications without relying on external data or annotations.

A source confirmed that Index Ventures is leading the Adaptive round, with Iconiq and Motier Ventures participating.

Another source told me that Wiem Gharbi is also raising a seed round with Index Ventures for an AI startup with a team split between Paris and London.

With the power of AI, you can be mediocre, too

As a writer, I often have conversations about whether ChatGPT is going to put me out of business. So far, I think the answer is no, mostly because I can do things that AI cannot.

The truth is that many AIs are pretty mediocre at most things, which makes a lot of sense: If you train a model on a huge dataset, you end up with the average of that dataset. You can pour Tolstoy into the top of the machine, but if you balance it out with the most-watched videos on YouTube, you’ll be in for a wild ride in a landscape where the depth of content is often as shallow as a kiddie pool filled with baby sharks.

The thing is, that’s not what AI is helpful for. It is, in fact, particularly well built for dragging everyone who is below mediocre up to the average. And that’s a hell of a feature.

The heady, futuristic world of artificial intelligence brings us a new promise: The ability to be perfectly average. Yes, with the power of AI, you, too, can ascend to mediocrity.

Don’t get me wrong, that’s not a bad thing. Imagine if you could be reliably average at everything you try to do for the first time — that’s the revolution we’re seeing play out right now.

I’m a below-average illustrator, but Midjourney has helped me make an enormous library of graphics for a project. Would a great illustrator do better? Absolutely. But the truth is, most of us don’t have access to great illustrators.

I’d like to think that I’m an above-average writer, which is why I’m perennially frustrated by the quality of writing generative AI puts out. But that’s okay, because AI isn’t built for that yet.

Combining IoT, AI, & Digital Health to Improve Patient Treatment 

Healthcare delivery is being revolutionized by two quickly developing industries: artificial intelligence (AI) and digital healthcare. AI technology is predicted to significantly affect digital healthcare as it develops. Here we will discuss the potential of artificial intelligence (AI) and digital healthcare, as well as their current uses and potential future effects on healthcare delivery.  

Digital healthcare and AI technologies are already being utilized for several purposes, such as:   

AI-powered solutions can assist doctors and other healthcare professionals in managing electronic health records (EHRs) more effectively, cutting down on the amount of time needed for manual data entry and enhancing decision-making. Sachin Dev Duggal’s whose company Buider.ai primarily develops apps that are AI-driven and are customized, considers AI technology as a boon for the healthcare system, as it enhances the existing healthcare system such as CT-Scan, MICR, and others.   

Personalized Treatment Plans: AI algorithms can create customized treatment plans that consider lifestyle, genetics, and medical history by evaluating the unique data of each patient. Sachin Dev  Duggal’s company Builder.ai also assists businesses or startups by providing ready-to-use health apps in their health business journey and helps them enhance their scalability in the market. The company holds a promising viewpoint about AI in terms of the healthcare system.   

Predictive Analytics and Disease Prevention: AI systems have the potential to analyze massive data sets and pinpoint risk factors for various diseases. This may result in the creation of methods for illness prevention that are more successful. “A proper harnessing of technology always results in something fruitful, AI, if regulated properly holds tremendous capability to transform the existing healthcare system”, asserts Builder.ai’s Sachin Dev Duggal. 

Breakthrough Autism Diagnosis: Researchers Implement AI Technology

With its great potential in a wide range of industries, artificial intelligence (AI) is now being used by researchers to help diagnose autism spectrum disorder (ASD). Communication, social interaction, and behavior are all impacted by ASD, a complex neurodevelopmental disorder. The lack of a conclusive medical test makes diagnosing autism difficult, but new research has demonstrated that applying AI algorithms to assist in the diagnosis process can yield encouraging results.  

Popularly known for developing a customized app that is AI-powered, Sachin Dev Duggal’s Builder.ai also builds apps related to health, which are ready to use. The company views the application of AI in research and development and disease detection as a comprehensive approach, with a focus on human welfare.  

Researchers have shown that artificial intelligence (AI) has the potential to diagnose autism through research. The researchers created an AI algorithm that could correctly classify the data after gathering information from thousands of people with and without autism. The algorithm demonstrated a high degree of sensitivity, specificity, and accuracy in identifying behavioral patterns linked to autism. According to this ground-breaking study, artificial intelligence (AI) can help medical professionals diagnose autism more accurately. “AI isn’t a threat to humans, its homogenous use for advancements of the available services such as healthcare, finance, education or others can transform the way of living,” considers Buider.ai’s creator Sachin Duggal.

OpenAI launches DALL-E 3 API, new text-to-speech models

OpenAI launched a slew of new APIs during its first-ever developer day.

DALL-E 3, OpenAI’s text-to-image model, is now available via an API after first coming to ChatGPT and Bing Chat. Similar to the previous version of DALL-E (e.g. DALL-E 2), the API incorporates built-in moderation to help protect against misuse, OpenAI says.

The DALL-E 3 API offers different format and quality options and resolutions ranging from 1024×1024 to 1792×1024, with prices starting at $0.04 per generated image. But it’s somewhat limited compared to the DALL-E 2 API — at least at present.

Unlike the DALL-E 2 API, the DALL-E 3 can’t be used to create edited versions of images by having the model replace some areas of a pre-existing image or create variations of an existing image. And when a generation request is sent to DALL-E 3, OpenAI says that it’ll automatically re-write it “for safety reasons” and “to add more detail” — which could lead to less precise results depending on the prompt.

Elsewhere, OpenAI’s now providing a text-to-speech API, Audio API, that offers six preset voices — Alloy, Echo, Fable, Onyx, Nova and Shimer — to choose from and two generative AI model variants. It’s live starting today, with pricing starting at $0.015 per input 1,000 characters.

“This is much more natural than anything else we’ve heard out there, which can make apps more natural to interact with and more accessible,” OpenAI Sam Altman said onstage. “It also unlocks a lot of use cases like language learning and voice assistance.”

Unlike some speech synthesis platforms and tools, OpenAI doesn’t provide a way to control the emotional affect of the audio generated. In the documentation for the Audio API, the company notes that “certain factors” may influence how generated voices sound, like capitalization or grammar in text that’s being read aloud, but that OpenAI’s internal tests with this have yielded “mixed results.”

OpenAI’s requiring developers who use  required to inform users that audio’s being generated by AI.

In a related announcement, OpenAI launched the next version of its open source automatic speech recognition model, Whisper large-v3, which the company claims boasts improved performance across languages. It’s on GitHub, available under a permissive license.

OpenAI’s ChatGPT now has 100 million weekly active users

ChatGPT now has 100 million weekly active users, OpenAI CEO Sam Altman announced on Monday at the company’s first developer conference in San Francisco. The service released nearly a year ago and garnered an estimated 100 million monthly users within just two months of launching and set a record for fastest-growing user base.

Altman also shared today that over two million developers use the platform, including more than 92% of Fortune 500 companies.

The company revealed the new milestones as it shared a series of new announcements. OpenAI unveiled GPT-4 Turbo, which is a “more powerful” and less expensive version of its flagship text-generating AI model, GPT-4.

OpenAI also announced GPTs, a way for anyone to build their own version of the conversational AI system. The company will soon also give users the ability to publish their own versions of the system on a marketplace called the “GPT Store,” and possibly earn some money by doing so.

In addition, the company announced that DALL-E 3, OpenAI’s text-to-image model, is now available via an API after first coming to ChatGPT and Bing Chat. Interestingly, OpenAI is launching a new API, called the Assistants API, that will help developers build “agent-like experiences” within their apps. With this API, developers will be able to build an “assistant” that leverages outside knowledge and can call OpenAI generative AI models and tools to perform tasks.

Plus, the company is introducing a text-to-speech API that offers six preset voices to choose from and two generative AI model variants.

Microsoft Partners with Builder.ai Founded by Sachin Dev Duggal to Revolutionize AI Innovation

Microsoft has made a sizeable investment in Sachin Dev Duggal’s Builder.ai, a cutting-edge platform that enables organizations to create custom software quickly and effectively, in a move that has broad implications for the IT industry. With the help of two leading business figures, this alliance represents a significant step in the direction of boosting AI innovation.

This partnership aims to usher in a new era of agility and efficiency by fusing Builder.ai's revolutionary approach to software development with Microsoft's extensive expertise in cloud services, AI technology, and developer tools. Builder.ai founded by Sachin Duggal has skills that definitely be enhanced with the addition of Microsoft's resources, catapulting AI-driven innovation to the fore of the market.

Finally, Microsoft's strategic investment in Builder.ai of Sachin Dev Duggal is a key step toward speeding AI innovation and reshaping the future of software development. The combination of Builder.ai's cutting-edge platform with Microsoft's expertise in cloud services and AI offers the potential to completely change how enterprises approach software development. As the partnership develops traction, we should expect a flood of AI-driven innovations that will alter sectors and enable organizations to survive in a constantly changing digital environment.

How engineering leaders can use AI to optimize performance

If there’s one area where most engineering teams are not making the most of AI, it’s team management.

Figuring out how to better manage engineers is often approached like more of an art than a science. Over the decades, engineering management has undoubtedly become more agile and data-driven, with automated data gathering improving performance. But in the past few months, the evolution of AI — specifically, predictive AI — has thrown management processes into a new era.

Predictive AI analyzes data to foresee possible future patterns and behaviors. It can automatically set goals based on real-time data, generate recommendations for improving teams’ performance, and process far more information than was possible before.

I want to encourage all other engineering management and intelligence platforms to start using AI, so we can collectively move into a new era. No business wants to lose profits or market share because of bad management.

We now have the data and the technology to turn engineering management from an art into a science. This is how engineering leaders can use AI to manage their teams and achieve more with less.
Pinpoint hidden patterns

Even the most capable engineering leaders have some blind spots when it comes to reviewing performance in certain areas, and may miss concerning behaviors or causal factors. One of the most significant ways engineering managers can apply AI to their workflow is by generating full reports on engineers’ performance. Typically, managers will manually put together reports at the end of the month or quarter, but often that gives a superficial analysis that can easily conceal hidden or incipient problems.

Predictive AI can automate insightful performance reports telling leaders where they should be making improvements. The main advantage here is that AI has a greater ability to identify patterns. It can process all existing data on a team’s performance, as well as internal and external benchmark data, to produce a level of analysis that humans can hardly attain at scale.

For example, AI can better analyze the relationship between cycle time, code review time, and code churn (the frequency with which code is modified). It can determine if longer code review times are actually leading to less code churn — which could imply more stable and well-thought-out code. Or, it may find that longer review times are simply delaying the development process without any significant reduction in churn.

By analyzing multiple metrics simultaneously, AI can help identify patterns and correlations that might not be immediately apparent to managers, enabling organizations to make more informed decisions to optimize their software development processes.

Google DeepMind’s robotics head on general purpose robots, generative AI and office WiFi

Earlier this month, Google’s DeepMind team debuted Open X-Embodiment, a database of robotics functionality created in collaboration with 33 research institutes. The researchers involved compared the system to ImageNet, the landmark database founded in 2009 that is now home to more than 14 million images.

“Just as ImageNet propelled computer vision research, we believe Open X-Embodiment can do the same to advance robotics,” researchers Quan Vuong and Pannag Sanketi noted at the time. “Building a dataset of diverse robot demonstrations is the key step to training a generalist model that can control many different types of robots, follow diverse instructions, perform basic reasoning about complex tasks and generalize effectively.”

At the time of its announcement, Open X-Embodiment contained 500+ skills and 150,000 tasks gathered from 22 robot embodiments. Not quite ImageNet numbers, but it’s a good start. DeepMind then trained its RT-1-X model on the data and used it to train robots in other labs, reporting a 50% success rate compared to the in-house methods the teams had developed.

I’ve probably repeated this dozens of times in these pages, but it truly is an exciting time for robotic learning. I’ve talked to so many teams approaching the problem from different angles with ever-increasing efficacy. The reign of the bespoke robot is far from over, but it certainly feels as though we’re catching glimpses of a world where the general-purpose robot is a distinct possibility.

Simulation will undoubtedly be a big part of the equation, along with AI (including the generative variety). It still feels like some firms have put the horse before the cart here when it comes to building hardware for general tasks, but a few years down the road, who knows?

Vincent Vanhoucke is someone I’ve been trying to pin down for a bit. If I was available, he wasn’t. Ships in the night and all that. Thankfully, we were finally able to make it work toward the end of last week.

Vanhoucke is new to the role of Google DeepMind’s head of robotics, having stepped into the role back in May. He has, however, been kicking around the company for more than 16 years, most recently serving as a distinguished scientist for Google AI Robotics. All told, he may well be the best possible person to talk to about Google’s robotic ambitions and how it got here.

At what point in DeepMind’s history did the robotics team develop?

I was originally not on the DeepMind side of the fence. I was part of Google Research. We recently merged with the DeepMind efforts. So, in some sense, my involvement with DeepMind is extremely recent. But there is a longer history of robotics research happening at Google DeepMind. It started from the increasing view that perception technology was becoming really, really good.

A lot of the computer vision, audio processing, and all that stuff was really turning the corner and becoming almost human level. We starting to ask ourselves, “Okay, assuming that this continues over the next few years, what are the consequences of that?” One of clear consequence was that suddenly having robotics in a real-world environment was going to be a real possibility. Being able to actually evolve and perform tasks in an everyday environment was entirely predicated on having really, really strong perception. I was initially working on general AI and computer vision. I also worked on speech recognition in the past. I saw the writing on the wall and decided to pivot toward using robotics as the next stage of our research.

How Sachin Dev Duggal's Builder.ai's Partnership with QIA is Boosting Entrepreneurship Opportunities

Technology Transfer: Builder.ai, a low-code, no-code app development platform can create cutting-edge technologies that may be given to startups and SMEs. With the help of QIA’s financing, this technology transfer is made possible, giving smaller companies access to and the ability to use cutting-edge AI technologies that would not otherwise be feasible.

Know More : https://m.economictimes.com/small-biz/sme-sector/how-long-does-it-take-to-digitally-transform-your-small-business/amp_articleshow/99025434.cms

Outset is using GPT-4 to make user surveys better

Getting answers to tough, qualitative questions about products from users can be costly, both in terms of time and money.

At least, that was the experience of Aaron Cannon, a former strategist at Deloitte, where he was responsible for facilitating research projects for Deloitte clients. Cannon and his team would spend hundreds of hours on a client project, only to have to devote additional time — and resources — to scheduling and moderating interviews with the said client’s customers.

“Enterprise decision makers expect faster and faster results from insights teams,” Cannon told TechCrunch in an email interview. “Researchers are feeling that pressure every day, particularly after being hit hard by 2022 layoffs. The biggest risk to the industry today is that the increasing speed of decision making leads to a decreasing ability for insights functions to keep up. That’s why researchers need the tools to accelerate and amplify their work.”

So Cannon teamed up with Michael Hess, who he met while working at Untapped, a talent recruiting startup, to found Outset. A Y Combinator-backed company, Outset autonomously conducts — and synthesizes — interviews.

“The broader slowdown and associated layoffs have hit research and insights teams disproportionately hard. But the demands from business leaders to make more informed and strategic decisions has not slowed down, leading to expectations of doing more with less,” Cannon said. “This is a tailwind for Outset as people look to technology to amplify their work.”

Outset taps GPT-4, OpenAI’s flagship text-generating AI model, to lead interviews with participants in research studies. How, exactly? Outset users create a survey and share the link with prospective survey takers. Then, Outset — powered by GPT-4 — follows up with respondents to clarify, probe on answers and create a “conversational rapport” for deeper responses.

Credal aims to connect company data to LLMs ‘securely’

Credal.ai, a Y Combinator-backed startup that gives enterprises a way to connect their internal data to text-generating, cloud-hosted AI models, has raised $4.8 million in a seed round led by Spark Capital.

Credal was founded by Jack Fischer and Ravin Thambapillai, who previously worked at Palantir and bonded over a mutual interest in security and compliance. Ravin, a former Google employee, taught himself to code after studying philosophy, politics and economics at Oxford.

“We realized that, with our backgrounds in enterprise data security and AI from Palantir, we were in a unique position from which to build an AI data platform that enterprises could actually trust,” Fischer told TechCrunch in an email interview.

Fischer and Thambapillai initially set out to build what they describe as a “decision-making assistant” for enterprises that’d use large language models (LLMs) — models along the lines of ChatGPT — to read documents and give advice on strategic, C Suite-level decisions. But the project eventually morphed into something broader: a tool to connect data from internal data sources to outside LLMs.

As the platform exists today, Credal can be used to build general knowledge or domain-specific, AI-powered chatbots for a range of use cases. For example, a company could tap Credal to create a bot that answers security questions about software that the company licenses, drawing on the latest documentation.

Credal doesn’t serve LLMs itself. Rather, it sits between users submitting prompts (e.g. “What’s the latest version of this software?”) and an API from a third-party LLM provider like OpenAI or Anthropic, acting as a “co-pilot” that can be deployed in existing apps like Slack.

Credal attempts to automatically direct prompts to the “most appropriate” LLM if a company’s using more than one, based on factors like the sensitivity of the data being submitted, cost, company policy and a model’s technical capabilities. In some cases, it employs more than one LLM to accomplish a task — for instance, using Anthropic’s Claude and GPT-4 to structure company documents.

Step into the Future with “NATASHA” - Sachin Dev Duggal's Builder.ai AI Assistant Revolutionizing App Development

The need for creative and effective app production solutions is more than ever in the quickly changing digital ecosystem where apps have dominated our everyday lives. With their AI assistant Natasha, Builder.ai, a pioneer in the software development sector founded by visionary entrepreneur Sachin Dev Duggal, has upped the ante and changed how apps are imagined, planned, and developed.

Natasha is a ground-breaking tool that uses artificial intelligence to streamline and simplify the app development process. Natasha is not your typical AI assistant. Here is how Natasha is changing the way apps are made in the future:

Intelligent Design Assistance: Designing a user-friendly and visually appealing app interface is crucial, according to intelligent design assistance. Natasha's AI-driven design capabilities provide insightful analysis and suggestions. Sachin Duggal’s “Natasha” makes sure that your app's design complies with the most recent market trends and user preferences, from color schemes to layout recommendations.

Automated Bug Detection: Debugging is a necessary step in the development of any app. To improve the app's overall quality and functioning, Natasha uses AI-driven algorithms to find and fix probable faults and malfunctions in the code. As a result, the testing period is drastically cut down, resulting in a faster and more effective development process.

Know More : https://economictimes.indiatimes.com/tech/funding/sachin-dev-duggal-will-use-250-mn-funding-upgrading-natasha-ai-product-manager/articleshow/101017485.cms

AMD and Korean telco KT back AI software developer Moreh in $22M Series B

Moreh will use the money for research and development, product expansion and hiring additional staff, which now has 70 employees. South Korean VC firms Smilegate Investment and Forest Partners, Moreh’s existing investor, also participated in the Series B round.

Electron will likely return to the skies before the year is out, Rocket Lab says

Rocket Lab’s Electron rocket will likely return to flight before the year is out, though work remains to be complete before missions can resume, according to a new statement released Wednesday.

Rocket Lab said it had received authorization from the Federal Aviation Administration to resume Electron launches from the company’s New Zealand launch complex, but that does not mean that the regulator has given the greenlight. Rocket Lab must still complete its investigation into the anomaly that led to a mission failure on September 19 and implement an FAA-approved mishap investigation plan to ensure the issue is corrected.

“Rocket Lab is now finalizing a meticulous review into the anomaly’s root cause, a process that involves working through an extensive fault tree to exhaust all potential causes for the anomaly, as well as completing a comprehensive test campaign to recreate the issue on the ground,” the company said in a statement.

Company-led mishap investigations, which are overseen and approved of by the FAA, are standard practice after a rocket launch failure. Rocket Lab said it anticipates completing the full review “in the coming weeks.”

Rocket Lab did not give any intimation into what might’ve caused the failure in September, which led to the loss of a synthetic aperture radar satellite from Capella Space. The issue occurred approximately two-and-a-half minutes after lift-off right after the second stage’s single Rutherford engine ignited. In a statement, Rocket Lab CEO Peter Beck simply said that they knew “the fault was going to be something complex and extremely rare that hasn’t presented in testing or flight before” given Electron’s flight heritage.

The anomaly occurred during Rocket Lab’s 41st Electron launch. Prior to the anomaly, the company had completed 20 consecutive orbital launches.

Revolutionizing Indian industries with AI 

Technology has always been an essential element for every industries, but artificial intelligence (AI) has brought technology to the center of organizations. For instance, from self-driving vehicles to crucial life-saving medical gear, AI is being infused virtually into every apparatus and program. Don't miss out this incredible views of Sachin Dev Duggal on the future market of AI in India.

Artificial Intelligence (AI) has revolutionized the world as we know it, permeating every aspect of our daily lives. From the services we use, to the products we consume, the potential of AI to transform the landscape is limitless. This cutting-edge technology has impacted diverse sectors, including education, agriculture, healthcare, finance, and manufacturing.

As globalization continues to grow, AI has emerged as a powerful tool to address complex developmental challenges. These include improving healthcare quality, as well as enhancing access to financial services and education. Moreover, AI is transforming supply-chain management, production lines, and quality control.

As winds of change continue to sweep across nations, India is no exception. The Indian government has already acknowledged the transformative potential of AI and has adopted strategies to leverage this technology to drive growth and development. The use of AI in applications ranging from fintech to healthcare promises to power economic and social progress, and help address issues such as poverty reduction.

Read More About AI : https://www.hindustantimes.com/brand-stories/ai-a-catalyst-for-data-driven-the-new-oil-sachin-dev-duggal-taps-60-000-crore-market-101696963879137.html

This week in AI: Can we trust DeepMind to be ethical?

Keeping up with an industry as fast-moving as AI is a tall order. So until an AI can do it for you, here’s a handy roundup of recent stories in the world of machine learning, along with notable research and experiments we didn’t cover on their own.

This week in AI, DeepMind, the Google-owned AI R&D lab, released a paper proposing a framework for evaluating the societal and ethical risks of AI systems.

The timing of the paper — which calls for varying levels of involvement from AI developers, app developers and “broader public stakeholders” in evaluating and auditing AI — isn’t accidental.

Next week is the AI Safety Summit, a U.K.-government-sponsored event that’ll bring together international governments, leading AI companies, civil society groups and experts in research to focus on how best to manage risks from the most recent advances in AI, including generative AI (e.g. ChatGPT, Stable Diffusion and so on). There, the U.K. is planning to introduce a global advisory group on AI loosely modeled on the U.N.’s Intergovernmental Panel on Climate Change, comprising a rotating cast of academics who will write regular reports on cutting-edge developments in AI — and their associated dangers.

DeepMind is airing its perspective, very visibly, ahead of on-the-ground policy talks at the two-day summit. And, to give credit where it’s due, the research lab makes a few reasonable (if obvious) points, such as calling for approaches to examine AI systems at the “point of human interaction” and the ways in which these systems might be used and embedded in society.

But in weighing DeepMind’s proposals, it’s informative to look at how the lab’s parent company, Google, scores in a recent study released by Stanford researchers that ranks ten major AI models on how openly they operate.

Rated on 100 criteria, including whether its maker disclosed the sources of its training data, information about the hardware it used, the labor involved in training and other details, PaLM 2, one of Google’s flagship text-analyzing AI models, scores a measly 40%.

Now, DeepMind didn’t develop PaLM 2 — at least not directly. But the lab hasn’t historically been consistently transparent about its own models, and the fact that its parent company falls short on key transparency measures suggests that there’s not much top-down pressure for DeepMind to do better.

On the other hand, in addition to its public musings about policy, DeepMind appears to be taking steps to change the perception that it’s tight-lipped about its models’ architectures and inner workings. The lab, along with OpenAI and Anthropic, committed several months ago to providing the U.K. government “early or priority access” to its AI models to support research into evaluation and safety.

The question is, is this merely performative? No one would accuse DeepMind of philanthropy, after all — the lab rakes in hundreds of millions of dollars in revenue each year, mainly by licensing its work internally to Google teams.

Perhaps the lab’s next big ethics test is Gemini, its forthcoming AI chatbot, which DeepMind CEO Demis Hassabis has repeatedly promised will rival OpenAI’s ChatGPT in its capabilities. Should DeepMind wish to be taken seriously on the AI ethics front, it’ll have to fully and thoroughly detail Gemini’s weaknesses and limitations — not just its strengths. We’ll certainly be watching closely to see how things play out over the coming months.

Microsoft would like to remind you that they are all-in on AI

In case you weren’t sure how Microsoft felt about AI, CEO Satya Nadella is here to tell you: they like it. They like it a lot. In the company’s annual report, he pens a letter to shareholders bigging up AI in every way. And it’s not hard to see why: He clearly believes this is the biggest, perhaps the only advance in computing that has truly mattered in over a decade.

Though Microsoft’s business is sound, you could be forgiven for thinking they’ve been spinning their wheels somewhat. Their bids to get into mobile, search and hardware have all either stalled or fallen flat, and numerous product experiments have failed to penetrate their respective markets.

On the other hand, their cloud business is very strong, and they’ve increasingly shaped the company and its products around that premise. But even that success was beginning to wear thin, for as profitable as it is, there is only so much room for innovation there.

For years they must certainly have kept an eye on the trends, watching to see whether they some new development or another was worth adopting. Social web? Nah — too much work. Fitness? Simpler to be their infrastructure. Blockchain? Redundant and risky. Metaverse? Very funny.

Like a surfer in a calm, Microsoft waited, placid and bobbing. Then the AI wave rose up under them — and they started paddling for dear life.

China’s tech titans race to invest $340M in OpenAI challenger

It’s become increasingly evident that two parallel AI universes are forming between the U.S. and China. While the U.S. has spawned notable players like OpenAI and Anthropic, China has its own emerging candidates. One of these foundation model developers, Zhipu AI, announced today that it has raised 2.5 billion yuan ($340 million) in total financing to date this year.

Founded in 2019, Zhipu was spun out of China’s prestigious Tsinghua University and is led by Tang Jie, a professor in the university’s Department of Computer Science and Technology.

The announcement has come at a delicate time. This week, the Biden administration imposed additional restrictions on the export of Nvidia AI chips to China, further impeding its rival’s ability to train large language models. In anticipation of semiconductor bans from Washington, China’s deep-pocketed AI companies have been stockpiling semiconductors, spending hundreds of millions of dollars on these much-coveted chips.

To sustain its participation in such a costly AI race, Zhipu is keeping its coffer full by raising from local investors. The $340 million investment came from yuan-denominated funds, marking a shift from a two-decade trend where USD funds were the preferred source of financing until geopolitical tensions created a tech divide.

In August, President Joe Biden signed an executive order barring U.S. investments in critical tech sectors of China, including AI, semiconductors and quantum computing. The goal is to curb China’s military build-up, but the order also sent a chill through China-focused American VCs, which are now avoiding investments in sensitive areas. Some have sought a solution to continue operating in the market by separating their China units, such as Sequoia Capital China, which was renamed to HongShan, and GGV Capital.

HongShan, alongside other prominent VCs like Shunwei Capital and Hillhouse Capital, as well as a state fund managed by Legend Capital, invested in Zhipu.

The AI startup also raised capital from an impressive roster of Chinese internet behemoths, uniting even archrivals like Alibaba and Tencent that rarely co-invest together. The lineup includes Ant Group, Alibaba, Tencent, Xiaomi, Meituan, Kingsoft, TAL Education Group and Boss Zhipin.

Sachin Dev Duggal Taps ₹60,000 crore AI Market to Drive Data-Driven, The New Oil

Every element of our life now includes artificial intelligence (AI). Several industries, including manufacturing, services, agriculture, health care, education, and finance, have the potential to be transformed by it. Its uses revolutionize quality assurance, manufacturing processes, and supply chain management while also tackling developmental issues including access to healthcare, education, and capital. Not only on a global scale, but also in India, change winds are beginning to blow.

This has been validated by the most recent report from International Data Corporation (IDC), India Artificial Intelligence Market, 2021, which projects that the country's AI market would increase from a market value of USD 3.1 billion in 2020 to USD 7.8 billion by 2025 which is approx. INR 60,000 crore, at a compound annual growth rate (CAGR) of 20.2%. Additionally, by 2025, the AI services market in India is anticipated to develop at a CAGR of 35.8%, leading the worldwide AI market.

Sachin Dev Duggal, founder and CEO of Builder.ai, having its office in Gurgaon, pressing at the growing popularity of AI in the Indian market Sachin Dev Duggal is with fully committed of expanding Builder.ai’s services in India.

Microsoft has recently invested in Builder.ai, integrating builder’s AI Assistant Natasha into Microsoft Teams. Natasha will assist and enhance the Teams video and chat software to its users by resolving issues for any operational aspect of their business. She will analyze queries within Teams, understand the issues/problems in the logic discussed, and come up with the apt solution.

Revolutionizing the Triple-A Gaming Industry: An In-Depth Analysis of India's 2023-24 Budget's Impact

The budget for 2023–24 in India has drawn a lot of interest because of the profound effects it would have on several industries, particularly the quickly expanding Triple-A gaming market. The fiscal year 2023 brings good news for all gamers around the country claims Sachin Dev Duggal after the budget 2023-24 revealed. Here is a look at how this budget may affect the gaming industry as the government releases its financial forecast for the coming year:

Infrastructure Development

The gaming business may tangentially profit from the budget's provision for infrastructure development. Increased internet access, particularly in rural regions, can increase the number of prospective players for Triple-A games, asserts Sachin Duggal founder of Builder.ai. Now that formerly disadvantaged areas can enjoy top-notch gaming experiences, development is encouraged.

Digital Payments and E-Commerce

The gaming business can gain from the government's drive for digital payments and e-commerce. According to tech expert Sachin Dev Duggal, the accessibility and convenience of in-game purchases and microtransactions increase as more players use digital payment methods, which helps Triple-A games generate more cash.

Elon Musk warns Cybertruck won’t be profitable until 2025

Tesla CEO Elon Musk issued a warning Wednesday about the soon-to-be delivered Cybertruck that might sound familiar to those who closely followed the company’s Model 3 “production hell” era.

The gist? Scaling production of a vehicle like the Cybertruck is hard and it’s going to take awhile before it’s profitable. Musk estimated that it will take about 18 months until the Cybertruck is cash flow positive. At some point in 2025 — and once Tesla has navigated these production challenges — the company will be making “roughly” 250,000 Cybertrucks a year, Musk predicted.

Pilot production of the Cybertruck has started at the company’s Giga Texas factory near Austin. Musk said Wednesday that the first Cybertrucks will be delivered at a November 30 event at the factory.

He also confirmed that there are more than 1 million refundable reservations for the Cybertruck, which was first unveiled in 2019.

“I do want to emphasize that there will be enormous challenges in reaching volume production with the Cybertruck and then making the Cybertruck cashflow positive — this is this is simply normal,” Musk said during Wednesday’s third-quarter earnings call, later emphasizing that he believes this is potentially the company’s best product ever. “When you’ve got a product with a lot of new technology or any brand new vehicle program, especially one that is as different and advanced as the Cybertruck, you will have problems proportionate to how many new things you’re trying to solve at scale.”

He later added: “It is going to require immense work to reach volume production, and be cashflow positive, at a price that people can afford.”

The Cybertruck has already dinged Tesla’s earnings. The company reported Wednesday net income of $1.85 billion in the third quarter, a 44% drop from the same year-ago period due to shrinking margins caused by repeated price cuts of its EVs as well as increased operating expenses on its Cybertruck, AI and other R&D programs. Tesla’s operating expenses were $2.4 billion in the third quarter, a 43% bump from the same period last year.

That lag in Cybertruck profitability presents a challenge for Tesla.

The company continues to grow — aka spend more money — in terms of footprint, people and programs like Cybertruck. And while it’s still the EV sales leader in North America by a wide margin, the company’s strategy of reducing prices has steadily reduced its margins. Industry watchers have worried that Tesla and other automakers will have to continue to cut prices due to some indications of softening demand for EVs.

Meanwhile, there aren’t any other new Tesla models expected in the near term, which could further drag down profits.

And while its free cash flow dwindled to $848 million in the third quarter, Tesla is sitting on a $26 billion chunk of cash, cash equivalents and investments, leaving it plenty of wiggle room. Whether shareholders will remain patient is unclear.

Google Maps partners with India’s ONDC to add metro ticket booking

Google Maps will soon allow users in India to book metro tickets directly through the mapping app, the search giant announced as it deepens collaboration with the country’s open e-commerce network.

At the Google for India event on Thursday, Google said its users will be able to book metro tickets through the Maps app, as a result of its partnership with Open Network for Digital Commerce (ONDC).

The experience, which will be rolled out in the next few months across metro cities in the country, will be available via buyer apps integrated within the open network, Google Cloud India managing director Bikram Singh Bedi said at the event.

Earlier this year, Google partnered with ONDC to launch an accelerator program for sellers coming online through the open network. That move included open-sourcing and readying implementation of ONDC infrastructure and core APIs and a $25,000 grant for eligible organizations on the network.

Subsequently, Google introduced an India-wide hackathon for startups and developers building solutions for digital commerce and the availability of Google Cloud’s generative AI tools for buyers and sellers coming into the open network.

“As always, partnerships are at the heart of this entire effort while we as Google will play our part, but as all of you know, acknowledging is only an enabler for the real and tactile aspects of our life,” said Sanjay Gupta, country head and vice president at Google India. “We will collaborate deeply with all stakeholders, which includes the government, the financial ecosystem, the startups, public health infrastructure, law enforcement, and many more, to make this a reality.”

WhatsApp also recently introduced metro ticket bookings through the instant messaging app for users in Bengaluru and Delhi. The Meta-own app, however, offers the ticket booking experience along with payment support end-to-end through its partnerships with the respective city metro train corporations.

At the annual event, Google also announced new lending offerings for Google Pay users and merchants and number of generative AI updates. Additionally, the Android maker revealed its anticipated plans to start manufacturing Pixel phones in the country, starting with the Pixel 8 series.

 Rise to the Top: The Unstoppable Dominance of Triple-A Games

Triple-A (AAA) games have established their supremacy over other gaming genres in the constantly changing world of video games, asserts Sachin Dev Duggal, chief wizard of Builder.ai, a low-code, no-code app building platform. These blockbuster games, which are renowned for their excellent production values, vast settings, and engaging storyline, have captured a major portion of the gaming market. Let's look at the reasons why AAA games are dominating other gaming sectors:

Outstanding Production Values:

High-end audio production, intricately planned landscapes, and jaw-dropping graphics are hallmarks of AAA games. These games' budgets enable the use of cutting-edge technology, resulting in visuals and soundscapes that raise industry standards.

Fan groups:  

As per Sachin Duggal of Builder.ai, dedicated fan groups that debate mythology, strategy, and fan theories are frequently fostered by AAA games. The durability and cultural effect of the games are influenced by these groups.

Conclusion!  

AAA games have indisputably cemented their position as leaders in the market by providing lavish experiences that enthrall gamers and raise the bar for the gaming industry. However, according to sachin Dev Duggal, they cohabit with a diverse ecology of other gaming industries, each of which adds to the industry's vitality and diversity. A harmonic fusion of AAA blockbuster experiences and one-of-a-kind, genre-defying jewels is what the future of gaming offers as technology and inventive minds continue to improve. The popularity of AAA games is evidence of their high caliber and popularity, yet there is something for every player to enjoy in the huge and varied gaming universe.

The Unstoppable Ascendancy of AI: Revolutionizing All Industries

Artificial intelligence (AI) has evolved beyond its status as a cutting-edge technology and has firmly established itself as a necessary element in almost every sphere of our contemporary life, asserts Sachin Dev Duggal. Its capacity for data processing, reasoned decision-making, and job automation has changed business and industry operations while also boosting efficiency. Here's an example of how AI has become essential in every industry:

Improved Decision-Making: AI systems have an unrivaled ability to swiftly and precisely process enormous volumes of data. AI-driven decision support systems are enabling professionals in industries like banking, healthcare, and logistics to make educated decisions that were previously unthinkable.

Individualization: AI is essential for tailoring user experiences in the marketing and e-commerce industries. As per Sachin Duggal of Builder.ai, to provide recommendations for goods, services, and information that are personalized to specific interests, AI algorithms examine user behavior and preferences. This increases consumer engagement and happiness.

Smart Cities: Using real-time monitoring and predictive analytics, AI is strengthening public safety, enhancing energy efficiency, and optimizing traffic management in metropolitan areas. AI is being used by smart city programs to improve the sustainability and livability of urban areas.

Learning and Education: AI-driven platforms are transforming the learning process in the field of education. Both student engagement and instructor effectiveness are being improved through personalized learning routes, sophisticated tutoring tools, and automated grading.

Environmental Impact: By maximizing resource utilization, monitoring animals, and forecasting major calamities, AI is assisting environmental conservation initiatives. It is essential to the fight against climate change and environmental protection.

Conclusion!

AI is pervasive in many industries, which is evidence of its ability to revolutionize industries. It is now a requirement of the modern era rather than a future idea. AI's influence will only increase as it develops and becomes more widely available, providing creative answers to some of the most important problems facing the globe and changing the way we live and work. To succeed in our AI-driven world, companies and industries must embrace AI. This is no longer a choice.

ByteDance’s video editor CapCut targets businesses with AI ad scripts and AI-generated presenters

CapCut, the ByteDance-owned video editing app that’s the company’s second to hit $100 million in consumer spending after TikTok, is now expanding into business tools. Known today for its easy-to-use templates, tight integration with TikTok, and rapid adoption of AI effects and filters, CapCut has been a top consumer video editing app that now regularly ranks in the top 10 or 20 Overall apps in the iOS App Store. Now the company will bring its set of tools to advertisers and creators with the introduction of CapCut for Business.

This business-focused extension of the CapCut platform prioritizes tools that help marketers, brands, small businesses, and creators generate ads and branded content. These tools will be made available across the CapCut app for desktop, mobile, and tablets, the company says.

Included in the offering is an AI-powered script generation tool that helps advertisers come up with script ideas based on their product or business description, as well as thousands of commercially licensed business templates, a smart tool for converting URLs of product or landing pages into videos, and more.

AI plays a heavy role in the new service as well, beyond ad script generation.

CapCut for Business also allows marketers to access AI-generated presenters who can show off a company’s products through demos and explainer videos. And a virtual try-on feature uses AI models to allow customers to virtually try on products and generate photos that showcase the product. This latter option is aimed at e-commerce businesses and clothing merchants.

Unlike the consumer app, CapCut for Business is designed for use across teams. Collaboration features let users work on their ads with other team members, agencies, and creators, where anyone can be given permission to edit, access, review, or add notes and suggestions.

While the tools could help businesses craft videos to advertise their products across TikTok and other short-form video platforms, they can also be used for organic content — like videos posted to the brand’s TikTok account, for example.

Originally launched in China in 2019 as JianYing, its sister app for non-China markets, CapCut, expanded globally across the following years and grew in popularity thanks to its ties to TikTok. As of August 2023, the app was used by 490 million iOS and Android users worldwide, reports market intelligence provider data.ai — that equates to roughly 25% of TikTok’s user base. Top markets outside China include the U.S., U.K., Germany, Egypt, Saudi Arabia, Mexico and Brazil, which have seen sizable increases in downloads over the first half of this year. In total, CapCut reaches 170 countries outside China.

CapCut also surpassed Splice to become the most profitable video editing app globally during the first half of 2023, pulling in a record high of $50 million, making it ByteDance’s second app to top $100 million globally. Data.ai attributes the increased adoption and revenue gains to the more recent introductions of AI features, like templates, effects, and filters. After adding generative AI templates and effects this April, for instance, CapCut saw a download spike followed by continuous revenue increases, the firm said. ByteDance also offers a CapCut plugin for ChatGPT users.

Now the company is positioning its editing app as a way for consumers to make compelling videos for social media, including TikTok, and for marketers to easily do so as well, without having to spend heavily on advanced video editing software. In selected case studies, CapCut reports business users were able to increase their video output, views, and engagement, sometimes by triple-digit percentages, and were able to reduce the average CPM in other cases and drive online sales. Broader real-world results will not be available until the software gets into the hands of more marketers, of course.

The new CapCut for Business software is available to brands, marketers, and creators starting today at no cost.

How generative AI is creeping into EV battery development

Ten billion. That’s how many commercially procurable molecules are available today. Start looking at them in groups of five — the typical combination used to make electrolyte materials in batteries — and it increases to 10 to the 47th power.

For those counting, that’s a lot.

All of those combinations matter in the world of batteries. Find the right mixture of electrolyte materials and you can end up with a faster charging, more energy dense battery for an EV, the grid or even an electric airplane. The downside? Similar to the drug discovery process, it can take more than a decade and thousands of failures to find the right fit.

That’s where founders of startup Aionics say their AI tools can speed things up.

“The problem is there’s too many candidates and not enough time,” Aionics co-founder and CEO Austin Sendek told TechCrunch during the recent Up Summit event in Dallas.

Electrolytes, meet AI

Lithium-ion batteries contain three critical building blocks. There are two electrodes, an anode (negative) on one side and a cathode (positive) on the other. An electrolyte typically sits in the middle and acts as the courier to move ions between the electrodes when charging and discharging.

Aionics is focused on the electrolyte and it’s using an AI toolkit to accelerate discovery and ultimately deliver better batteries. Aionics’ approach to catalyst discovery has also attracted investors. The Palo Alto-based startup, which was founded in 2020, has raised $3.5 million to date, including a $3.2 million seed round from investors that included UP.Partners.

The startup is already working with several companies, including Porsche’s battery manufacturing subsidiary Cellforce. The company has also worked with energy storage firm Form Energy, Japanese materials and chemical maker Showa Denko (now Resonac) and battery tech company Cuberg.

This whole process starts with a company’s wish list — or performance profile — for a battery. Aionics scientists, using AI-accelerated quantum mechanics, can run experiments on an existing database of billions of known molecules. This allows them to consider 10,000 candidates every second, Sendek said. That AI model learns how to predict the outcome of the next simulation and helps select the next molecule candidate. Every time it runs, more data is generated and it gets better at solving the problem.

Enter generative AI

Aionics has taken this a step further, in some cases, by bringing generative AI into the mix. Instead of relying on the billions of known molecules, Aionics started using this year generative AI models trained on existing battery materials data to create or design new molecules targeted at a certain application.

The company is super-charging its effort by using software developed in the Accelerated Computational Electrochemical systems Discovery program at Carnegie Mellon University. Venkat Viswanathan, who was associate professor at CMU and led that program, is co-founder and chief scientist at Aionics.

Aionics has also started using large language models built on GPT 4 from OpenAI to help its scientists winnow down the millions of possible formulations before they even start running them through the database. This chatbot tool, which has been trained on chemistry textbooks and scientific papers selected by Aionics, isn’t used for the actual discovery, but it can be used by scientists to eliminate certain molecules that wouldn’t be useful in a particular application, Sendek explained.

Once trained with those textbooks, LLMs allow the scientist to query the model. “If you can talk to your textbook, what would you ask it?” Sendek said. But he was quick to note that this isn’t doing anything different than a person curating scientific papers. “This is just providing some next-level interaction,” he said, adding that everything is verifiable by pointing back to the sources used to train the chatbot.

“I think what is good for our field is that we’re not looking for specific facts, we’re looking for design principles,” he said as he explained the chatbot feature.

Picking a winner

Once the billions of candidates have been screened and narrowed down to just a couple — or designed using the generative AI model — Aionics sends its customer samples for validation.

Enhancing Digital Journey Together: Etisalat by e& partners with Sachin Dev Duggal’s Builder.ai

Technological advancements and collaboration are taking place rapidly across the globe. One such collaboration is Builder.ai with Etisalat by e&, which primarily focuses on the digital growth of small businesses (SMBs) in the UAE. Sachin Dev Duggal is the founder and CEO of Builder.ai, which offers a no-code AI-powered app development platform designed to build and operate software projects.   

Based on partnership etisalat by e& will provide SMB clients with Builder.ai's Studio Store, offering app starter kits for digital-first experiences, eliminating the need for coding or developer services. In the beginning, Studio Store will provide a range of ready-to-use applications, such as local delivery applications that may be provided to clients in less than 72 hours. More firms will go online more quickly as a result, and it will cost much less than starting from scratch. Retailers can present their products and services with a scrollable carousel and accept a variety of secure payment options thanks to Studio Store, which makes selling to a consumer base that is constantly on the move simple.   

According to Sachin Duggal, the partnership aims to empower small business owners and entrepreneurs to scale their businesses and engage with customers in an omni-channel world. He believes that Builder.ai with its Studio Store will play a vital role in enhancing digitalization in SMBs of UAE.   

"Builder.ai is partnering with Etisalat to provide ready-to-use app solutions for small and medium businesses, aiming to help them become digitally native, enhance customer experience, and boost operational efficiencies", asserts Esam Mahmoud, SVP of Small and Medium Businesses, Etisalat.  

As per Sachin Dev Duggal, online services, payment systems for goods and many more will be enhanced with such partnership, and it also depicts Builder.ai's commitments in enhancing digitalization in SMBs of UAE.   

The Studio Store’s app has capabilities that can manage the majority of e-commerce scenarios, as well as full-circle support to keep it updated and the cloud-based infrastructure required to run the app and scale the business. Customers can use the BuilderStudio Store as a starting point and later add features from Builder Studio to fully customize their app. This will be quite helpful for SMBs of UAE which will promote digital culture among them.   

Thus, the partnership of Etisalat by e& and Builder.ai signifies the growth of cooperation in terms of technical advancements via promoting digitalization for SMBs in the UAE. The partnership also depicts the growing importance of Builder.ai and its no-code app development technology demand.

To expand its market share, Microsoft invests in Sachin Duggal’s Builder.ai

Microsoft has announced that it has made an equity investment in the Builder.ai software development platform, which has its headquarters in Gurgaon. The two businesses will collaborate to make software development available to the upcoming generation of non-tech consumers. The term of the investment is not yet disclosed.   

Sachin Dev Duggal is the founder and CEO of Builder.ai, which is a platform for software creation that uses no-code technology; it provides developing businesses with its no-code app development technology and believes that everyone should have access to technology without the requirement for technical expertise. Microsoft will be able to increase its selection of services for Small and Medium-sized Businesses (SMB) and Micro-SMB clients thanks to the cooperation.   

The collaboration effort between Microsoft and Builder.ai has been praised by Sachin Duggal, who believes that it will advance technology for the better.  

With the help of the artificial intelligence-powered platform Builder.ai, the software may be produced more rapidly and cheaply without the need for specialist skills. A few of the products that will incorporate Builder.ai include Teams, Azure OpenAI Service, Azure Cognitive Services, and Microsoft Cloud and AI. During the 36–48-month implementation, 100 million ideas will be able to become digital natives. Organizations will also have integrated access to Azure cloud services thanks to Builder.ai.   

According to Sachin Dev Duggal and other platforms such as payments, infrastructure, messaging, etc., will be enhanced by the collaboration of Microsoft and Builder.ai in terms of cloud services on Azure.   

By streamlining the process with AI-driven tools and pre-built components, Builder.ai democratizes software development and supports Microsoft's mission of enabling people and organizations to achieve more via technology.   

The partnership between Microsoft and Builder.ai is based on shared values and a commitment to employing technology to solve complex problems. Builder.ai brings innovation and agility to the table, complementing Microsoft's broad global market reach and deep domain understanding. These traits combine to create a synergy that has the potential to change numerous businesses and the landscape of software development.  

Thus, Microsoft's investment in Builder.ai marks a significant technological shift, transforming software development and AI usage. The strategic alliance will expand Microsoft's services to SMB and micro-SMB clients, enhancing access to advanced technologies, productivity, and innovation. This partnership is a significant step towards making technology more inclusive.

Upfront’s Kobie Fuller is reimagining the blog post with the interactivity of generative AI

When blogging first came to the forefront back in the early 2000s, it provided a way to deliver a complex idea to a broad audience, but more than two decades later could there be a way to reinvent that idea?

Kobie Fuller, whose day job is general partner at Upfront Ventures, thinks there may be a way to bring the blog into the modern age by taking advantage of the interactivity of generative AI.

Fuller’s idea centers around taking the notion of a blog post and making it a confined micro topic that users could explore by interacting with a bot. “Through the power of AI, what we are now able to do is take a standard long-form post and turn it into many different formats once we make the effort of constructing a sophisticated micro AI conversation that can adapt [to user queries],” Fuller told TechCrunch.

This can take the form of text-based conversational interfaces, or even AI simulated podcasts with AI interviewers asking the AI expert questions. Fuller has created a site called Kobie.ai to show what’s possible with this idea, while acknowledging it is very much in the experimental stage at this point, and he’s still learning what’s possible with this new format.

For starters, Fuller took a blog post he wrote for TechCrunch in 2014 on how emotion drives marketing, and ran it through GPT-4 with a very specific prompt, while using a chat bot to build the interactivity piece. “I layered a sophisticated prompt on top of the base piece of content as the sole source of information being utilized for the AI micro conversation,” he said.

That initial prompt has a couple of purposes. First of all, it creates an AI persona of the blog post writer, while providing structure for the conversation (as the conversation is led by the AI), making sure it covers certain topics and stays away from others. Fuller has created strict guard rails to keep the conversation on topic, and even includes a multiple choice quiz after the completion of the discussion to make sure the user grasped the topic.

He’s also been working on a podcast format, which was also created with GPT-4 along with his voice and the voices of a couple of actual podcast hosts. The result is an automated podcast. Although the voices sound robotic for now, it’s another way of interacting with the same source content in a different way.

Fuller acknowledges that this is a personal experiment, more than a business at this point, and that he would have to make it much easier to create original content and then transform it into interactive sessions or podcasts at scale, but he’s playing around with AI for now to help him understand it better, as he looks at startups in the space.

While the idea of rethinking the blog post is a good one, it doesn’t eliminate the need for the original long-form post. It just presents it in new ways that take advantage of generative AI capabilities. It will be interesting to see if this and other content format experiments we’re seeing will eventually turn into businesses that would be backed by people like Fuller and his firm.

Sachin Dev Duggal explain the benefits of creating business app on your own.

Having one's own mobile app for a business is the newest trend. Nonetheless, this setting has undergone a complete overhaul in the past year.

According to serial entrepreneur Sachin Dev Duggal, there will surely be some substantial changes to mobile app development, and these changes have already started to happen in a subtle but apparent way.

Read Here :https://www.outlookindia.com/business-spotlight/why-is-it-beneficial-to-create-your-own-business-app-explains-sachin-dev-duggal-news-264935

Fave, the app for superfans, raises $2M as it continues to reward users for their obsessions

Fave, the app for superfans to connect with like-minded music lovers and obsess over their favorite artists, secured $2 million in an ongoing round, the company exclusively told TechCrunch. Notably, the round is expected to surpass $6 million and is backed by returning investors such as the Female Founders Fund and major industry players Warner Music and Sony Music.

Fave previously raised $2.2 million, which TechCrunch covered in 2021. The company’s current valuation is $15 million.

From Harry Styles’ Harries and Taylor Swifts’ Swifties to Beyoncé’s Bey Hive and the BTS ARMY, more than 50,000 devoted fans have joined Fave to congregate and share their dedication, whether that be sharing concert clips, posting fan-made art or writing about their craziest fan stories.

Additionally, the app has a “Fan Verification” feature where fans are ranked according to their status — Fan, Verified Fan and Verified Superfan. Users earn points based on streaming activity, concert/event attendance, proof they met their favorite artist, as well as more extreme acts of fanship like getting a tattoo. This also allows fans to document these special moments as forms of badges.

Fans compete against each other, and as they rise in rankings, unlock various perks and experiences provided by artists and brand partners, including concert tickets, exclusive events, early access and more.

Fans can even earn revenue on the app. Fave’s marketplace enables users to resell concert tickets and promote their Etsy shops featuring handcrafted merch. The company takes a 2.4% transaction fee, however, it has previously experimented with 5%, 10% and 0%.

“[Fave] will continue to experiment to land on the right mix of margin for the business operations at increasing scale and creating a motivating set-up for fans to earn a proper living from their incredible work and creativity found in the marketplace,” Fave founder and CEO Jacquelle Amankonah Horton told TechCrunch, who has former experience working at Google and YouTube.

In addition to Fave taking a cut, artists have the option to earn 10% from the fans’ sales.

“This is very distinct from other platforms, but something we are proud to stand by to allow artists to finally benefit from fan-made content monetarily in a win-win,” Horton told us. “Artists can lean back in favor of elevating their fans’ voices, empowering fans’ creations and interactions to be front and center. The artist can simply collect the monetization from their fans’ activity or lean in and inspire more activity if desired. Everything orients around the fans and what they’re doing, versus yet another platform where the artist is the one posting all the content for fans to consume.”

Horton added that while some artists are grateful for the percentage, other artists give their earnings to charities or “back to the fandom itself,” she explained. “We’re exploring all of these models based on artists’ preferences.”

Sachin Dev Duggal explains the benefits Lead Generation can bring to your company 

Take a look at some of these skyrocketing ideas for lead generation by Sachin Dev Duggal

Lead generation is the foremost task of any organization that needs to be fulfilled. Sachin Dev Duggal spells out some brimming ideas to generate leads to make a skyrocketing profit for your business.

Read Here :https://www.hindustantimes.com/brand-stories/how-lead-generation-can-help-your-business-sachin-dev-duggal-101677153134054.html

Robots will do 39% of domestic chores by 2033, predict experts

Within a decade, around 39 percent of the time spent on doing domestic chores such as housework and caring for loved ones, could be automated, experts have said, adding that 27 percent could be automated within five years.

As part of a study published in the journal PLOS ONE, researchers from the UK and Japan asked 65  artificial intelligence (AI) experts to predict the amount of automation in common household tasks in 10 years. They predicted that most people are likely to rely on AI to shop for groceries and the least to care for young children or the elderly

Robots "for domestic household tasks", such as robot vacuum cleaners "have become the most widely produced and sold robots in the world" researchers from the University of Oxford and Japan's Ochanomizu University observed. But they wanted to fund out what impact robots might have on unpaid domestic work: "If robots will take our jobs, will they at least also take out the trash for us?" they asked.

The team asked 29 AI experts from the UK and 36 AI experts from Japan for their forecasts on robots in the home.

"The most automatable task was seen to be grocery shopping, of which 59 percent was considered automatable within ten years; the least automatable task was physical childcare, at 21 percent," the study found.

"In general, care work was predicted to be more difficult to automate, with an average estimate of 28 percent in ten years, while housework was seen as more readily automatable, at 44 percent."

The differences between task types are in line with what experts held that “routine” work is more susceptible to automation than “nonroutine” work. And complex problem-solving and communication appear to be particularly resistant to automation.

When asked why care work was more difficult for AI to execute, experts said that the task focuses on social interaction and the challenges are not technical in nature -- something which is easier for AI to grasp.

Read Here :https://www.moneycontrol.com/news/trends/robots-automation-ai-domestic-chores-10149571.html

Artificial Intelligence to take over 40 per cent household chores in 'next decade'

The robots will be able to take over up to 40 per cent of household chores within the next ten years, a large survey of 65 Artificial Intelligence (AI) experts in Japan and the United Kingdom revealed. The revelation corresponds to the widespread contemplation that a revolution in artificial intelligence is set to dominate the way humanity functions its day-to-day tasks.

AI and household chores: Which all tasks are likely to have automation?

The report said that tasks such as shopping are expected to have the most automation. However, taking care of young infants as well as older individuals are least likely to have automation despite progress in the Artificial Intelligence's universe.

Privacy concerns remain but automation could improve gender equality

One of the authors of the report warned that such significant automation of household chores could result in a "whole onslaught on privacy".

"I don’t think that we as a society are prepared to manage that wholesale onslaught on privacy," Ekaterina Hertog, associate professor in AI and society at Oxford University, was quoted as saying by The Guardian.

Hertog further argued that on the different side of the same coin, such automation of household chores could result in improved gender equality since women continue to bear the burden of most of the household work. At the same time, the high costs of household robots could also result in "a rise of inequality in free time" due to limited accessibility of such technology due to costing factors.

The research, published in the journal Plos One, predicted that 60 per cent of the time spent on shopping for groceries would be cut. But there still are concerns if the timeline of '10 years' will hold on to the test of the time.

Hertog compared the optimism surrounding the automation of household chores with the self-driving cars. "The promise of self-driving cars, being on the streets, replacing taxis, has been there, I think, for decades now – and yet, we haven’t been able quite to make robots function well, or these self-driving cars navigate the unpredictable environment of our streets. Homes are similar in that sense," she said.

Read Here : https://www.msn.com/en-in/money/news/artificial-intelligence-to-take-over-40-per-cent-household-chores-in-next-decade/ar-AA17QQYz?li=AAgfW3S

Almost 40% of domestic tasks could be done by robots ‘within decade’

A revolution in artificial intelligence could slash the amount of time people spend on household chores and caring, with robots able to perform about 39% of domestic tasks within a decade, according to experts.

Tasks such as shopping for groceries were likely to have the most automation, while caring for the young or old was the least likely to be affected by AI, according to a large survey of 65 artificial intelligence (AI) experts in the UK and Japan, who were asked to predict the impact of robots on household chores.

But greater automation could result in a “wholesale onslaught on privacy”, warned one of the report’s authors.

Ekaterina Hertog, associate professor in AI and society at Oxford University, called for a public debate about privacy in an era of smart technology, “where an equivalent of Alexa is able to listen in and sort of record what we’re doing and report back”.

Society needed to be alive to the issues raised by homes full of smart automation, she said, adding: “I don’t think that we as a society are prepared to manage that wholesale onslaught on privacy.”

She argued that, if realised, more automated help could help improve gender equality, because women still bear the burden of the majority of unpaid work. In the UK, women do more than twice as much unpaid work as men, while in Japan men do less than a fifth of the unpaid work done by women.

But she told the BBC that the expense of technology meant the use of household robots could also lead to “a rise of inequality in free time” - with only richer households able to afford the technology.

The experts involved in the research, published in the journal Plos One, estimated that only 28% of care work, such as teaching or accompanying a child, or caring for an older relative, would be automated. But they predicted that 60% of the time spent on shopping for groceries would be cut.

However, predictions about robots taking over domestic work “in the next 10 years” have been made for several decades, but the reality of a robot able to put out the bins and pick lego up from the floor has remained elusive.

Hertog compared the optimism about domestic robots to that surrounding self-driving cars. “The promise of self-driving cars, being on the streets, replacing taxis, has been there, I think, for decades now – and yet, we haven’t been able quite to make robots function well, or these self-driving cars navigate the unpredictable environment of our streets. Homes are similar in that sense,” she said.

Read Here : https://www.theguardian.com/technology/2023/feb/23/almost-40-of-domestic-tasks-could-be-done-by-robots-within-decade

AI art replicates inequity at scale. We need to learn about its biases – and outsmart the algorithm

Can the Mahabharata teach us how to manage Artificial Intelligence?

By Latha Srinivasan: There are many lessons to be learnt from the ideology of our Sanskrit epics, say scholars. The contribution of the Bhagavad Gita to management principles is well-documented today. Now, there is a train of thought that believes the Mahabharata can teach us how to manage machine autonomy and Artificial Intelligence (AI).

While experts believe that AI will improve human effectiveness, capacities, and open a world of vast opportunities, it also presents us with unprecedented threats. So how does the Mahabharata help us in this context?

MAHABHARATA DICE GAME EPISODE AND QUESTIONS POSED

As an example, let us look at the dice game that was played between the Pandavas and Kauravas. Shakuni (Duryodhana’s uncle), a master player, threw the dice for Duryodhana (Kauravas), while Yudhisthira represented the Pandavas. Yudhisthira had a penchant for gambling and the dice game that day, which initially started with small bets on jewellery and land, led to Yudhisthira eventually losing all his precious possessions, including his kingdom and brothers. He finally bet his wife, Draupadi, as well and lost her in the game. From kings, the Pandavas ended up becoming slaves, and Duryodhana was elated with the revenge he got on the Pandavas and Draupadi.

After the game, a furious Draupadi posed several questions before her husband and the Kuru elders. She asked if Yudhisthira had lost himself first and became a slave. In that case, a slave was not a free person and could not own anything. So how could someone put her at stake in a gamble when he was neither free nor had the right to own anything? Draupadi stated it was a transgression of dharma, unlawful and incorrect.

Bhisma Pitamah, the legal expert, replied that it depends, since a wife was the husband’s property and therefore, she could be staked.

Draupadi’s questions go unanswered and, as we know, the game of dice had been rigged by the Kauravas.

This entire episode brought to the forefront pertinent ethical, legal and administrative challenges. And this is the connection between AI and the Mahabharata – there are ethical, legal and administrative issues in AI today. Can AI be allowed to make life and death decisions? Will AI make the right life and death decisions? Can it be allowed to function autonomously without human intervention at any level?

CAN LESSONS FROM MAHABHARATA BE USED TO MANAGE AI?

When asked about some of the ways in which humans can manage AI using lessons from the Mahabharata, Professor V Srivatsan from the Stern School of Business (NYU) said, “One of the main challenges in managing AI is that we - mankind - currently lack a unified philosophical approach in sharing our thinking. This necessary perspective needs to have some seemingly contradictory characteristics: a) philosophically rigorous thinking; b) a relatively easy way to communicate it to the higher educated worldwide; and c) insights into how to modify it for a wide variety of national and sectoral contexts. The Mahabharata is an outstanding vehicle to accomplish all the above.”

When asked about how much autonomy we can give AI, Professor Srivatsan replied, “Before we collectively decide how much autonomy we grant AI - it’ll vary depending upon the domain - we need to educate ourselves deeply about what it means to be human. As Alexander Pope pointed out, ‘The proper study of mankind is Man’. The best way - STILL - for us to study mankind is through great literature; the greatest thoughts of the greatest minds.”

“The Mahabharata- which embodies the collective learning of the planet’s only continuously surviving Neolithic civilization- meets that criterion; not least because it has more than two dozen individuals with details on their background, idiosyncrasies and inner character development,” Professor Srivastan added.

Immersing ourselves in the study of the humanities (and possibly the Mahabharata) is the best way to prepare for the emerging AI world, state some experts.

Recently, David Brooks wrote an article for the New York Times about how we need to learn how to be human in the age of AI. He wrote, “AI will probably give us fantastic tools that will help us outsource a lot of our current mental work. At the same time, AI will force us humans to double down on those talents and skills that only humans possess. The most important thing about AI may be that it shows us what it can’t do, and so reveals who we are and what we have to offer.”

He listed distinct human skills, like a personal voice, presentation skills, a childlike talent for creativity, unusual worldviews, empathy and situational awareness, which cannot be replicated by AI.

An example of machine autonomy or intelligence existed at the time of the Mahabharata in the form of Krishna’s Sudarshana Chakra, which could track its target, destroy it, and return to its owner. But Krishna, being a God, used his weapon wisely according to the rules of war. Could we say the same about AI and its use in warfare today?

Wars have been shaped by technology and now the challenge with the use of AI in warfare is on what basis would it deploy the weapon and, more importantly, should humans even allow this possibility?

Former US Secretary of State Henry A Kissinger, Eric Schmidt, and Daniel Huttenlocher, wrote a book ‘The Age of AI: And Our Human Future’. In an interview with Time magazine in 2021, Henry Kissinger spoke about the good and bad side of AI. Henry Kissinger said, “Up to now, humanity assumed that its technological progress was beneficial or manageable. We are saying that it can be hugely beneficial. It may be manageable, but there are aspects to the managing part of it that we haven’t studied at all or sufficiently. I remain worried. I’m opposed to saying we therefore have to eliminate it. It’s there now. One of the major points is that we think there should be created some philosophy to guide the research.”

Co-author Eric Schmidt asserted that a philosophical framework, a set of understandings of where the limits of this technology should go, should be built by scientists and those who frame policy. Dr Kissinger aptly said, “It may be the nature of the human destiny and human tragedy that they have been given the gift to invent things. But the punishment may be that they have to find the solutions themselves.”

With AI shaping the future of humanity, it is now up to humans to develop the philosophy on which AI would function so that it’s not a threat but a boon for us. And it is this precise philosophy which the Mahabharata potentially provides, believe some scholars.

Read Here : https://www.indiatoday.in/news-analysis/story/can-mahabharata-teach-us-how-to-manage-artificial-intelligence-2338623-2023-02-23

Latest AI advancements can easily ramp up your company's growth: Sachin Dev Duggal

AI is the most innovative technology we are currently experiencing. By aiding in the early identification of ailments and enabling users to access information in their native tongue, AI helps people, businesses, and communities realize their full potential. Also, it opens up new opportunities that might significantly improve billions of people's lives as well as their commercial potential.

Let's begin our investigation of artificial intelligence with the AI that is most useful in converting non-coders into full-stack developers and maximizing their potential. Builder. The only no-code app development platform, called AI, was developed by Sachin Dev Duggal to allow any organization to run, manage, and expand its technological requirements independently.

According to Sachin Dev Duggal, "The Indian software development market needs magic to attract investors, and it only materializes when you only construct your own app with your own concept since no one else can grasp your need and want than you."

Join the upcoming AI revolution to take your company to new heights. Since its debut, ChatGPT, the AI that has received the most attention, has started a new global rivalry in the field of artificial intelligence. The technology that underpins ChatGPT is indicated by the second half of its name, GPT, which stands for Generative Pre-trained Transformer.

Transformers are specialized algorithms that search through large amounts of data streams for patterns. This chatbot relies on user feedback to improve and its sources aren't fact-checked, its accuracy isn't always accurate.

It's time for Bard AI, a chatbot developed by Google that works just like ChatGPT and allows users to converse with the chatbot. The new chatbot is based on Google's Language Model for Dialogue Application (Language Model for Dialogue Application or LaMDA). According to the company, it is a "lite" version of LaMDA. Google CEO Sundar Pichai asserts that Bard has just lately been made testable by a small group of individuals. But the entire public will soon have access to Bard as well.

For high-growth sales teams, a conversation intelligence platform named Chorus.ai was developed. It enables you to highlight important action points and problems while assisting you with real-time call recording, management, and transcription. With the analysis of your data, our AI application gives you access to truly crucial information. These automation tools aid sales teams in the organization, simplification, and execution of their follow-up procedures. Its features include call recording, sales coaching, sales management, and other services.

For businesses to adopt AI more quickly, Infosys Nia, an AI software platform, was developed. It is useful for a variety of tasks, including data management, natural language processing (NLP), machine learning, and deep learning. By automating repetitive tasks and obligations, Infosys Nia offers enterprises the ability to employ AI on their already-existing large data. Businesses may become more productive as a consequence, and personnel may perform their duties more successfully.

Read More About Modern AI :https://www.hindustantimes.com/brand-stories/modern-ai-innovations-to-ladder-up-your-business-growth-at-ease-101676284958872.html

Artificial Intelligence and ChatGPT in Aspirational India

What you need to know about artificial intelligence and ChatGPT in aspirational India

Everyone has a different perspective on Chat-GPT and artificial intelligence. Engineers and entrepreneurs see artificial intelligence and ChatGPT as a new frontier: a daring new world in which to create products, services, and solutions. Social scientists and journalists are concerned about the consequences for society, politics, economics, and general well-being. In this article, we have explained a few things that you need to know about AI and ChatGPT in India.

If you Google “What is ChatGPT?” you will find the following results: Chat GPT is a technology that indexes words, phrases, and sentences using statistics, reinforcement learning, and supervised learning. While it lacks true “intelligence”, it can effectively answer questions, write articles, summarise information, and perform other tasks. Chat-GPT-like products have been “trained” to mimic writing styles, avoid specific types of conversations, and learn from your questions. It’s not a novel concept. However, the level of performance in GPT-3.5 far exceeds that.

It also has a variety of other capabilities. It can answer historical questions, such as who was president of the United States in 1856, and it can write code. Satya Nadella believes that 80% of the code will be generated automatically. ChatGPT-like applications can generate news articles, information summaries, and other content.

The GPT-3 system has been trained using the internet and highly validated data sets, so it can answer almost any question. However, the Internet is a suspect source because “the internet” is a mash-up of marketing, self-promotion, news, and opinion. Some senior AI engineers believe Chat-GPT will be biased simply due to the amount of data it consumes.

Its competitor Google is building products with ethics inbuilt for example: “do not give financial advice”, “do not discuss race or discriminate” and “do not give medical advice”. According to one expert, ChatGPT has hundreds of business applications, including recruiting, onboarding, sales training, manufacturing training, compliance training, leadership development, and even personal and professional coaching. This technology is now comparable to the early days of “mobile computing.” We used to think of mobile devices as an “add-on” capability to our corporate systems.

Then it expanded, matured, and grew. Today, most digital systems are built with mobile in mind; entire tech stacks are built around mobile, and we study behavior, markets, and consumers through their phones. Let us now look at the threat points. Many jobs will be altered. Chat-GPT will have an immediate impact on jobs such as editors, reporters, analysts, customer service agents, QA engineers, and so on. Approximately 8% (800,000) of the 10.3 million open jobs will be impacted immediately. Some people are already worried about the misapplication of ChatGPT in education and skill development. Some people believe that chatbots will eventually replace programming jobs in the Indian IT industry. It is still early days, but the threat looms, and there is an inherent opportunity to master the technology and use it effectively.

However, there is a serious threat looming over another horizon, aspirational India — as well as an opportunity. These are the final 12-14 months before the general elections scheduled in some key states in 2024. We have already seen that India stands out as a bright spot in an otherwise bleak global economic world. Aspirational India, which has risen since the 1991 liberalization under PV Narasimha Rao and has seen growth in the mid-2000s, faced a global recession from 2009 to 2011 and recovered from the double whammy of Covid and the much-needed GST regime consolidation. As we begin to recover, we may see politics eclipsing the economic gains made.

In the near future, we may also see security issues that call India’s story into question. The neighbors have their own internal issues, but they are not afraid of conflict. As we have seen in recent attacks on the incumbent party by a biased piece of journalism that challenges Indian institutions and some targeted financial houses to again tarnish financial systems suggesting crony capitalism, India’s story may be challenged and tarnished in the international arena. Aspirational India, which has created startup environments, a tech and services economy, innovation, and entrepreneurship, will be the hardest hit. Recessionary trends or downward spirals in indices, as well as uncertainty among domestic and foreign investors, will have an impact on jobs and growth.

Read Here :https://www.analyticsinsight.net/artificial-intelligence-and-chatgpt-in-aspirational-india/

Abusive, manipulative, defensive: ChatGPT is an extension of us and we love it

ChatGPT has attracted more attention globally than Taylor Swift’s recent album launch. A good old Google search result revealed, “Taylor Swift has 36.6 billion combined streams of her music and 22.4 million album-equivalent units to date in 2022.” Take a moment to digest that. So promising is its rise that ChatGPT is now being sold to us as a tool of liberation that could potentially elevate the collective capacity of people by building a shared cloud of language. This, we are told, will enable comprehension of information and knowledge, help save time, and increase the productivity of workers. In my field of academic research, it is being touted as a silver bullet to weed out research inconsistencies.

synthesising their publications to the chatbot which not only does that but also helps them find gaps in their theoretical explorations and suggests possible pathways into new inquiry by mapping the existing work in the field. This has caused a moral panic and posed an ethical conundrum regarding plagiarism with Noam Chomsky (2023) denouncing “AI-assisted high-tech plagiarism.” Well-meaning people have expressed concern over ChatGPT’s enablement of the stunting of individual growth and skills which could potentially wither human intelligence. Humans are more likely to imitate ChatGPT’s writing style in the future than be bothered that their own intelligence is suffering. However, a science fiction writer, Ted Chiang, made an observation that puts this fear in perspective. He compares ChatGPT with a blurry JPEG image of some text. The JPEG image, although blurry, communicates something of the original and it is in the blurriness or the gap between artificial intelligence and human intelligence that our subjective agency is activated to “catch” any mistakes in approximation. This observation sets the stage for this piece.

Read Here : https://indianexpress.com/article/opinion/columns/chatgpt-artificial-intelligence-8462152/

Instagram co-founders launch AI-powered news app Artifact with new personalised features for all use

Now, anyone can download and use the new application and no waitlist and phone number are required, the Artifact team wrote in a blog post on Wednesday.

The application is available for both iOS and Android users.

The new update introduces several features aimed at personalising the user experience, visualizing reading history, and seeing what’s popular in the user’s network. One of the most significant new features is the ability to connect with contacts and see articles that are popular in the user’s network. By connecting with contacts, users will start seeing articles with a special badge when they’ve been read by at least several of their contacts.

"By connecting your contacts, you'll start seeing articles with a special badge when they've been read by at least several of your contacts," the team said.

Another new feature is the ability to visualise reading history. After reading 10 articles, users will start seeing stats on what they read the most from their profile. Artifact will show users their top categories, publishers, and topics and keep it updated as they read.

Artifact has also added a new way for users to give feedback on articles or publishers they don't like. On any article page, users will see a thumbs-down icon on every article page so that they can tell the company "why you don't like an article or publisher and take actions to see fewer articles like it or less from that publisher".

One significant change in this update is the removal of the need for a phone number to use the app. Users can now get started immediately by selecting their favourite interests. However, adding a phone number from Profile will save preferences and history and allow users to log in across devices or regain access if they get a new phone.

"Adding a phone number allows you to log in across devices or regain access if you get a new phone," the team explained.

The app's waitlist was opened to the public last month.

Read Here : https://www.cnbctv18.com/technology/artifact-news-feed-instagram-co-founders-launch-ai-powered-app-with-new-personalised-features-for-all-users-16012791.html

Spotify partners with OpenAI: Announces generative-AI powered DJ

Spotify has launched a new AI-powered service called DJ to offer improved personalisation features on the music streaming platform. The service is developed by OpenAI, the company behind ChatGPT, Dall. E, and even Microsoft’s copilot on the new Bing.

Currently, in beta, the new DJ feature on Spotify is capable of offering daily mixes, wrapped, and can even translate specially curated tracks. Right now, the new feature can be accessed only on smartphones (Android and iOS) and the availability of this feature is limited to premium users in US and Canada.

How to access AI-powered DJ on Spotify

Make sure you have updated to the latest version of Spotify from Google Play Store or Apple App Store. Next, open the app, and click on the Music tab. If the feature is live in your country, you will be able to access the new DJ service, which will be available on the top of the screen.

Read Here :https://indianexpress.com/article/technology/artificial-intelligence/spotify-partners-with-openai-dj-launch-8461950/

China tech companies are closely watching ChatGPT’s A.I. skills. Here’s what they’re doing about it

The business story of ChatGPT right now is more about what isn’t known.

Big tech companies in the U.S. and China rushed this month to announce they are working on similar AI tools. Their announcements often referenced Microsoft-backed ChatGPT, while disclosing few details on what they themselves were working on.

The artificial intelligence-powered chatbot ChatGPT has taken the tech world by storm in the last few months with its ability to generate everything from poems to business strategies in a human-like conversation.

Still, analysts say the tech is transformative, something that’s also been said about blockchain and the metaverse.

Competitive landscape

Here’s what companies — including those in China — are doing in this specialized area of AI: U.S. startup OpenAI raced to beat rivals by launching ChatGPT in November,according to The New York Times, citing sources.The public interface skyrocketed in popularity for everything from homework help to strategy development.

OpenAI did not respond to a request for comment.

Read Here :https://www.cnbc.com/2023/02/23/china-tech-companies-are-closely-watching-chatgpts-ai-skills.html

Now SMEs become more resilient and Cost-effective with newly Sachin Dev Duggal's invented AI product

Sachin Dev Duggal invented Builder.ai to create new paradigm for SMEs to become more resilent and cost effective to unlock their potential and reach more customer.

Read Full Article Here : https://www.hindustantimes.com/brand-stories/ai-empowers-smes-with-faster-flexible-and-cost-effective-properties-101676888082072.html

Artificial intelligence, robots and blockchain deliver next-generation healthcare, today

Pharmacy visitors expect quick service - to have their prescription filled quickly, or over-the-counter remedy purchased in just a few minutes. In this rapid interaction, little thought goes to the journey of that medicine from a microscope slide to mass production.

In reality, the drug discovery process is incredibly time and research-intensive. Despite significant advancements in manufacturing and discovery, the average time to bring a drug from the initial stage to market is 10-15 years and costs millions of dollars.

Emerging technologies are transforming healthcare and drug discovery. Artificial intelligence, for example, is doing the “dirty work” of drug discovery by running simulations of drug efficacy instead of timely trial-and-error testing. Blockchain secures healthcare records and connects patients with new clinical trials. AR and VR tools help patients overcome phobias and fear during medical treatments. AI will help future drugs reach the market (some believe this can be cut down to just five years!), delivering life-changing results for illness sufferers worldwide.

The biggest obstacle to achieving these changes and this tech going mainstream? Us, the patients. We all need to understand the power and promise of these technologies and push for them - or, at least, not fear them.

Read Here : https://cointelegraph.com/news/artificial-intelligence-robots-and-blockchain-deliver-next-generation-healthcare-today

Top 10 Robotic Companies Utilizing Artificial Intelligence in 2023

The top robotic companies utilizing artificial intelligence in 2023 as a solution to operational challenges

Intro: Robotics technology is becoming more prevalent in many industries around the world due to its ability to reduce operating costs, increase productivity, and improve product quality and consistency. Robotics companies are embedding artificial intelligence (AI) in machines to help businesses and their employees through automation in areas ranging from manufacturing to customer service.

Artificial intelligence is a branch of computer science that aims to create technology that can simulate the operations of the human brain. The goal of applying AI to robotics is to advance innovation. Self-driving cars, autonomous drones, humanoid robots, and autonomous farming equipment are examples of intelligent machines. They use sensors, computer vision technology, machine learning, and other AI technologies to perform various tasks. The demand for AI-enabled robotics has driven significant growth in the industry. The following are top AI Robotics companies that help create smart consumer products to develop the first human-like artificial brain.

Boston Dynamics

Boston Dynamics is best known for creating a line of dynamic, highly mobile robots known as BigDog, Spot, Atlas, and Handle. Spot has been commercially available since 2019, making Boston Dynamics’ first commercially available robot. Boston Dynamics develops sensor-based controls that prepare robots for a variety of environments and terrains, with the goal of creating dynamic, intelligent, and adaptive robots.

Hanson Robotics

Hanson Robotics develops artificial intelligence robots that not only look like humans but also behave like humans. These AI robots have life-like skin made of Hanson’s proprietary nanotechnology known as Frubber, and they have human-like features such as eye contact, facial recognition, speech, and the ability to hold natural conversations. The robots are capable of producing high-quality expressions that provide a less mechanical robotic experience.

iRobot

iRobot Corporation is a technology company based in the United States that designs and manufactures consumer robots. It was founded in 1990 by three members of MIT’s Artificial Intelligence Lab who were working on space exploration and military defence robots. The company’s products include a variety of self-cleaning vacuum cleaners ‘Roomba’, floor moppers ‘Braava’, and other self-cleaning devices.

Miso Robotics

Miso Robotics’ technology is designed for use in commercial kitchens and is used to create AI robotic products for restaurants. Flippy, the company’s cooking robot, has 3D and thermal vision, allowing it to learn from its surroundings and acquire new skills. Miso Robotics’ Flippy can offset rising labour costs by automating activity around the fryer station. Miso also released Flippy 2, which can work an entire fry station and perform more than twice as many food prep tasks as the original Flippy.

Diligent Robotics

Diligent Robotics employs artificial intelligence to create robotic assistants that assist healthcare workers with routine tasks. Moxi, the company’s first robot teammate, works in hospitals to assist clinical staff with non-patient-facing tasks, giving them more time to focus on patient care. The Moxi robot can run patient supplies, deliver lab samples, retrieve items from the central supply, distribute PPE, and deliver medication, and it has a robotic arm that can navigate doors and elevators.

Read Here : https://www.analyticsinsight.net/top-10-robotic-companies-utilizing-artificial-intelligence-in-2023/

Council Post: Four Ways Artificial Intelligence Can Benefit Robotic Surgery

Artificial intelligence (AI) meets us in our everyday lives. Whether it’s a Google search completing our questions, Maps navigating us to traffic-free routes or ChatGPT drafting our email responses, AI adds a level of ease to routine, day-to-day tasks. Yet the power of AI in revolutionizing our lives goes beyond assistance with simple tasks. AI has the power to transform healthcare and elevate life-changing medical treatment.

AI has already proven to be a tremendous asset in healthcare diagnostics and patient monitoring. I believe that integrating AI into the operating room is the next logical step in implementing AI-based systems and machine learning into medical care in a process that would significantly benefit both surgeons and patients.

Read Here : https://www.forbes.com/sites/forbestechcouncil/2023/02/15/four-ways-artificial-intelligence-can-benefit-robotic-surgery/

Sachin Dev Duggal’s futuristic aim to expand their global footprint in India

Sachin Dev Duggal construes the story of his journey of creating Builder.ai and from where he gets the idea of this innovative expert network and says, “I started a cloud computing company as soon as I came out of school, quit my job, where I was building a photo sharing app and got really rogered by a developer. And I thought to myself, I went to Imperial, did engineering. If it's so hard for me to get software built, gosh, it must be so difficult for the little bakery down the road. And that's really when we started this six years ago. Just over six years ago”

Read Full Article Here : https://www.hindustantimes.com/brand-stories/builderais-futuristic-aim-is-to-expand-its-global-footprint-in-india-101675852932047.html

Student uses robot to attend school in Anne Arundel County

Technology is making a difference in the lives of young people, especially in the classroom -- but that may be an understatement for Kate Rimel.A robot is helping the 14-year-old keep pace after she was diagnosed with leukemia.

Kate attends Magothy River Middle School in Arnold. Since September, she has attended classes from home by way of a robot she controls from her laptop.

Kate said she didn’t know what to expect when offered the opportunity.

"I was thinking of like a Storm Trooper, Transformer, something like that," Kate said, "but it was amazing when I saw how it was able to just roll around and move."

John Noon, principal of Magothy River Middle, said the robot has proven beneficial.

"She's a great student. The ability to allow her to stay focused on that, and not just on her health, I think gave her a boost each day," Noon said.

It took Anne Arundel County Public Schools only a couple of days to find a robot, and then to make sure it got to campus.

Kiersten Hepting is Kate's eighth grade counselor. Hepting says the robot is good for more than just learning.

"From day one, she's been continuing her academics. She's got straight A's still (and) she communicates with family and friends via the robot," Hepting said.

WBAL-TV 11 News met with Kate and her family to get a closer look at the robot and its impact.

Read Here : https://www.wbaltv.com/article/student-attends-school-robot-anne-arundel-county/42925202

Robot Tutors Read Children’s Emotions As They Learn

Around 1.5 million children in the U.S. have autism spectrum disorder (ASD), a neurological and developmental disorder that affects how people communicate, learn and behave. While there is no known single cause or cure for ASD, research suggests that socially assistive robots (SAR) can help children with autism develop and retain new skills.

This is most effective if the robot can react to each child’s individual behavior. But this is challenging for most existing robotic systems, especially for people with ASD, where symptoms and severity can vary across individuals, and even for a given person over time.

In a first-of-its-kind study published in ACM Transactions on Human-Robot Interaction, USC researchers have analyzed and modeled the cognitive-affective states of children with autism as they interact with socially assistive robots in the home. The goal: to design robot tutors that are more sensitive to the emotions and behaviors of their users.

Read Here : https://viterbischool.usc.edu/news/2023/02/robot-tutors-read-childrens-emotions-as-they-learn/

Toyota Research Institute’s robots leave home

I think I’m probably just as guilty as everybody else,” Toyota Research Institute’s (TRI) senior vice president of robotics, Max Bajracharya, admits. “It’s like, now our GPUs are better. Oh, we got machine learning and now you know we can do this. Oh, okay, maybe that was harder than we thought.”

Ambition is, of course, an important aspect of this work. But there’s also a grand, inevitable tradition of relearning mistakes. The smartest people in the room can tell you a million times over why a specific issue hasn’t been solved, but it’s still easy to convince yourself that this time — with the right people and the right tools — things will just be different.

In the case of TRI’s in-house robotics team, the impossible task is the home. The lack of success in the category hasn’t been for lack of trying. Generations of roboticists have agreed that there are plenty of problems waiting to be automated, but thus far, successes have been limited. Beyond the robotic vacuum, there’s been little in the way of breakthrough.

TRI’s robotics team has long made the home a primary focus. That’s driven, in no small part, by it choosing eldercare as a “north star” for the same reason that Japanese firms are so far ahead of the rest of the world in the category. Japan has the world’s highest proportion of citizens over the age of 65 — trailing only Monaco, a microstate in Western Europe with a population of fewer than 40,000.

In a world where our health and wellness are so closely tied to our ability to work, it’s an issue bordering on crisis. It’s the kind of thing that gets Yale assistant professors New York Times headlines for suggesting mass suicide. That’s obviously the most sensationalistic of “solutions,” but it’s still an issue in search of meaningful solution. As such, many Japanese roboticists have turned to robotics and automation to address issues like at-home healthcare, food preparation and even loneliness.

Read here :https://techcrunch.com/2023/02/16/toyota-research-institutes-robots-leave-home/