#jensen huang education

[employehub]

Nvidia CEO Jensen Huang states that India’s next generation will become the backbone for AI delivery, serving as the industry’s back-office.

The Vision of India as the AI Back-Office

Nvidia CEO Jensen Huang recently highlighted India’s pivotal role in shaping the future of artificial intelligence (AI). He emphasized that the next generation of Indian professionals will be instrumental in delivering AI solutions globally, positioning India as the “back-office” for the AI industry. Huang’s statement underscores the growing importance of India in the technology landscape, particularly in AI research, development, and implementation.

Why India is Poised for AI Leadership

India’s potential in AI is not accidental but rather a result of several factors. With a vast pool of skilled engineers, data scientists, and technology professionals, India is uniquely positioned to lead AI development. Moreover, the country’s strong focus on STEM education has equipped its younger generation with the technical expertise necessary for this emerging field. Because of these strengths, Huang believes India will play a crucial role in advancing AI technologies and their applications.

The Growing Demand for AI Talent

One of the key reasons India is becoming a hub for AI delivery is the increasing global demand for AI solutions. As businesses across industries seek to integrate AI into their operations, the need for skilled professionals continues to rise. India, with its growing workforce of tech-savvy individuals, is well-prepared to meet this demand. Furthermore, multinational companies are setting up AI research centers in India, recognizing the country’s potential to supply talent on a large scale.

India’s Infrastructure and Investment in AI

Beyond its human capital, India is also investing heavily in AI infrastructure. The Indian government and private sector have been making concerted efforts to build AI ecosystems, from data centers to research labs. Additionally, the rise of AI startups in India signals a thriving innovation culture. These investments, coupled with India’s focus on digital transformation, further solidify its position as a key player in the global AI landscape.

The Role of Indian IT Firms in AI Delivery

Indian IT companies, known for their prowess in software development and outsourcing, are now pivoting towards AI services. These firms are integrating AI into their existing service offerings and helping global businesses harness AI for greater efficiency. As a result, India’s established reputation as the back-office for global IT operations is transitioning smoothly into the AI space. This shift not only strengthens India’s role in the AI ecosystem but also opens new avenues for economic growth.

Collaboration with Global Tech Giants

Nvidia, along with other global tech giants like Google and Microsoft, has been actively collaborating with Indian companies and institutions. These partnerships are fostering AI research and accelerating the development of innovative solutions. Furthermore, Huang noted that India’s openness to such collaborations is a key factor in its rise as an AI powerhouse. By working with international leaders in AI, India is ensuring that it remains at the forefront of this technological revolution.

Challenges Ahead for India’s AI Future

However, there are challenges that India must address to fully realize its potential in AI. One of the main obstacles is the need for continuous upskilling of its workforce. While India has a strong base of engineers, the fast-evolving nature of AI demands ongoing education and training. In addition, improving internet infrastructure and addressing data privacy concerns are critical to fostering a robust AI environment. But with strategic planning, these challenges can be overcome.

The Global Impact of India’s AI Leadership

India’s rise in AI delivery will not only benefit the country but also have significant global implications. As more businesses rely on Indian expertise to develop and deploy AI solutions, the country will play a vital role in shaping the future of industries ranging from healthcare to finance. Moreover, India’s leadership in AI could serve as a model for other developing nations, showing how investment in education and infrastructure can drive technological progress.

Looking Ahead: India’s AI-Driven Future

As Nvidia CEO Jensen Huang envisions, India is on the path to becoming a global AI hub. With its talented workforce, growing infrastructure, and collaborative spirit, India is poised to be the backbone of AI delivery in the coming years. As the world increasingly depends on AI to solve complex problems, India’s role in shaping this future will only become more pronounced

[demandteq01]

To enhance India’s standing as a key player in the global technology landscape, Prime Minister Narendra Modi recently participated in a roundtable meeting with Sundar Pichai of Google and Jensen Huang of Nvidia, among other tech industry leaders. 

[allthenewzworld]

Jensen Huang's ascent from humble beginnings as a dishwasher at a Denny's diner to the pinnacle of technological innovation as the founder and CEO of Nvidia perfectly encapsulates the American dream.

Huang, who was a waiter and washed dishes for five years during the late 1970s and 80s, didn't just climb the corporate ladder; he built a new one in Silicon Valley.

This profound transformation unfolded after he completed his education with a bachelor's degree from Oregon State University, followed by a master's from Stanford. Today, as the leader of Nvidia, Huang oversees a company whose valuation soared past the trillion-dollar mark.

Read more at link in our bio.

[jcmarchi]

NVIDIA and Meta CEOs: Every business will ‘have an AI’

New Post has been published on https://thedigitalinsider.com/nvidia-and-meta-ceos-every-business-will-have-an-ai/

NVIDIA and Meta CEOs: Every business will ‘have an AI’

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In a fireside chat at SIGGRAPH 2024, NVIDIA founder and CEO Jensen Huang and Meta founder and CEO Mark Zuckerberg shared their insights on the potential of open source AI and virtual assistants.

The conversation began with Zuckerberg announcing the launch of AI Studio, a new platform designed to democratise AI creation. This tool allows users to create, share, and discover AI characters, potentially opening up AI development to millions of creators and small businesses.

Huang emphasised the ubiquity of AI in the future, stating, “Every single restaurant, every single website will probably, in the future, have these AIs …”

Zuckerberg concurred, adding, “…just like every business has an email address and a website and a social media account, I think, in the future, every business is going to have an AI.”

This vision aligns with NVIDIA’s recent developments showcased at SIGGRAPH. The company previewed “James,” an interactive digital human based on the NVIDIA ACE (Avatar Cloud Engine) reference design. James – a virtual assistant capable of providing contextually accurate responses – demonstrates the potential for businesses to create custom, hyperrealistic avatars for customer interactions.

The discussion highlighted Meta’s significant contributions to AI development. Huang praised Meta’s work, saying, “You guys have done amazing AI work,” and cited advancements in computer vision, language models, and real-time translation. He also acknowledged the widespread use of PyTorch, an open-source machine learning framework developed by Meta.

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Both CEOs stressed the importance of open source in advancing AI. Meta has positioned itself as a leader in this field, implementing AI across its platforms and releasing open-source models like Llama 3.1. This latest model, with 405 billion parameters, required training on over 16,000 NVIDIA H100 GPUs, representing a substantial investment in resources.

Zuckerberg shared his vision for more integrated AI models, saying, “I kind of dream of one day like you can almost imagine all of Facebook or Instagram being like a single AI model that has unified all these different content types and systems together.” He believes that collaboration is crucial for further advancements in AI.

The conversation touched on the potential of AI to enhance human productivity. Huang described a future where AI could generate images in real-time as users type, allowing for fluid collaboration between humans and AI assistants. This concept is reflected in NVIDIA’s latest advancements to the NVIDIA Maxine AI platform, including Maxine 3D and Audio2Face-2D, which aim to create immersive telepresence experiences.

Looking ahead, Zuckerberg expressed enthusiasm about combining AI with augmented reality eyewear, mentioning Meta’s collaboration with eyewear maker Luxottica. He envisions this technology transforming education, entertainment, and work.

Huang discussed the evolution of AI interactions, moving beyond turn-based conversations to more complex, multi-option simulations. “Today’s AI is kind of turn-based. You say something, it says something back to you,” Huang explained. “In the future, AI could contemplate multiple options, or come up with a tree of options and simulate outcomes, making it much more powerful.”

The importance of this evolution is evident in the adoption of NVIDIA’s technologies by companies across industries. HTC, Looking Glass, Reply, and UneeQ are among the latest firms using NVIDIA ACE and Maxine for applications ranging from customer service agents to telepresence experiences in entertainment, retail, and hospitality.

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As AI continues to evolve and integrate into various aspects of our lives, the insights shared by these industry leaders provide a glimpse into a future where AI assistants are as commonplace as websites and social media accounts.

The developments showcased at SIGGRAPH 2024 by both NVIDIA and other companies demonstrate that this future is rapidly approaching, with digital humans becoming increasingly sophisticated and capable of natural, engaging interactions.

See also: Amazon strives to outpace Nvidia with cheaper, faster AI chips

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: ai, ai studio, artificial intelligence, digital human, jensen huang, llama, mark zuckerberg, meta, Nvidia, open source, siggraph, virtual assistant

[williammason1]

William Mason: Insights on Nvidia and Market Trends

William Mason, a distinguished financial analyst and investment strategist, presents his latest insights on the stock market, focusing on Nvidia's recent activities and the broader market trends. Drawing from the William Trend Momentum Portfolio System, Mason provides an in-depth analysis of current market dynamics and future prospects.

William Mason: Strategic Analysis Using William Trend Momentum Portfolio System

Introduction to William Mason and His Investment Strategy

William Mason, aged 48, hailing from New South Wales, has established himself as a formidable figure in the financial sector. After graduating from Duke University, Mason joined Goldman Sachs, where his exceptional performance and profound knowledge garnered numerous accolades. However, upon returning to Australia, Mason identified a gap in the online stock trading app market and founded his own platform to cater to the needs of Australian investors.

Mason's investment strategy, encapsulated in the William Trend Momentum Portfolio System, is a trend analysis-based approach designed to help investors identify major market trends and execute timely buy and sell signals. This system integrates trend lines, moving averages, and other technical indicators to capture market trend shifts, ultimately aiming for superior returns.

Nvidia's Recent Stock Movements

In June, Nvidia's CEO Jensen Huang sold approximately $170 million worth of Nvidia stock, marking his highest single-month cash-out record. This sale was part of a pre-planned sale agreement, highlighting a common practice among corporate executives. Despite the sale representing a small fraction of Huang's holdings, the move coincided with a significant surge in Nvidia's stock price, which rose nearly 13% in June and approximately 150% year-to-date.

Huang's planned sales are expected to continue through March 2025, potentially influencing market perceptions and investor confidence. His substantial holdings and the continued rise in Nvidia's stock price underscore the company's strong position in the AI and semiconductor markets.

Market Trends and Risk Assessment

Mason emphasizes the importance of understanding both the objective market facts and subjective judgment. While Nvidia's growth is notable, it is essential to acknowledge the potential risks associated with stock sales by key executives. These sales, although pre-planned, might signal to the market a perceived peak in stock valuation.

Furthermore, Mason highlights the broader market trends influenced by Nvidia's performance. The semiconductor sector, represented by ETFs like VanEck Vectors Semiconductor ETF (SMH) and Direxion Daily Semiconductor Bull 3X Shares (SOXL), has shown significant growth. This trend indicates strong investor confidence in the sector, driven by advancements in AI technology and increasing demand for semiconductor components.

Application of William Trend Momentum Portfolio System

Using the William Trend Momentum Portfolio System, Mason advises investors to closely monitor trend lines and moving averages. For instance, Nvidia's recent price movements can be analyzed using the system's technical indicators to determine optimal entry and exit points. The system's focus on capturing market trends can help investors navigate the volatility and capitalize on growth opportunities.

Mason suggests that investors should also pay attention to external factors such as macroeconomic conditions, geopolitical events, and industry-specific developments. These factors can significantly impact market trends and should be incorporated into the investment strategy.

Promoting Financial Literacy and App Utilization

To further assist investors, William Mason has leveraged his expertise to create a user-friendly stock trading app tailored to the Australian market. This app offers real-time market data, advanced analytical tools, and educational resources to empower investors in making informed decisions.

Mason actively promotes financial literacy through blogs, video tutorials, and social media engagement. By sharing his investment insights and experiences, he aims to attract a broader audience and encourage the adoption of his stock trading app.

Conclusion

In conclusion, William Mason's professional analysis of the current stock market, particularly Nvidia's recent activities, provides valuable insights for investors. His William Trend Momentum Portfolio System serves as a robust framework for identifying and capitalizing on market trends. Mason's commitment to financial education and his innovative stock trading app further underscore his dedication to empowering investors.

Investors interested in leveraging Mason's expertise and advanced analytical tools are encouraged to download and register for his stock trading app. This platform offers a comprehensive suite of features designed to enhance the investment experience and support informed decision-making.

William Mason: Advanced Insights into the Stock Market

Overview of William Mason's Financial Expertise

William Mason, a renowned financial analyst from New South Wales, brings decades of experience and a sophisticated investment strategy to the table. His William Trend Momentum Portfolio System is designed to help investors navigate the complexities of the stock market by identifying key trends and executing timely trades.

Detailed Analysis of Nvidia's Stock Performance

In June, Nvidia's CEO Jensen Huang sold a significant portion of his stock holdings, amounting to nearly $170 million. This move, part of a pre-planned sale agreement, reflects a common practice among corporate executives. Despite the sale representing a small fraction of Huang's total holdings, it coincided with a substantial increase in Nvidia's stock price, which rose almost 13% in June and approximately 150% since the beginning of the year.

Huang's continued stock sales, planned until March 2025, may influence market sentiment. His significant holdings and Nvidia's robust performance highlight the company's leadership in the AI and semiconductor sectors.

Market Trends and Strategic Insights

Mason emphasizes the importance of both objective data and subjective judgment in market analysis. While Nvidia's growth is impressive, investors must consider the potential risks associated with large-scale stock sales by key executives. These sales, though planned, can signal a perceived peak in stock value.

The broader semiconductor market, represented by ETFs such as VanEck Vectors Semiconductor ETF (SMH) and Direxion Daily Semiconductor Bull 3X Shares (SOXL), has also shown significant growth. This trend underscores strong investor confidence in the sector, driven by advancements in AI technology and the increasing demand for semiconductors.

Applying the William Trend Momentum Portfolio System

Mason's William Trend Momentum Portfolio System provides a comprehensive approach to market analysis. By focusing on trend lines, moving averages, and other technical indicators, investors can identify optimal entry and exit points. This system's emphasis on trend analysis helps investors navigate market volatility and capitalize on growth opportunities.

Mason advises investors to consider external factors, including macroeconomic conditions, geopolitical events, and industry-specific developments. These elements can significantly impact market trends and should be incorporated into the investment strategy.

Promoting Financial Education and App Utilization

To support investors, William Mason has developed a user-friendly stock trading app tailored to the Australian market. This app offers real-time market data, advanced analytical tools, and educational resources to help investors make informed decisions.

Mason actively engages with the financial community through blogs, video tutorials, and social media. By sharing his insights and experiences, he aims to attract a broader audience and encourage the adoption of his stock trading app.

Conclusion

William Mason's expert analysis of the stock market, particularly Nvidia's recent activities, provides valuable insights for investors. His William Trend Momentum Portfolio System offers a robust framework for identifying and capitalizing on market trends. Mason's commitment to financial education and his innovative stock trading app further demonstrate his dedication to empowering investors.

Investors interested in leveraging Mason's expertise and advanced analytical tools are encouraged to download and register for his stock trading app. This platform provides a comprehensive suite of features designed to enhance the investment experience and support informed decision-making.

By adopting Mason's strategies and utilizing his app, investors can navigate the complexities of the stock market with greater confidence and success.

[govindhtech]

Advanced ABCI 3.0 Supercomputer Increases AI Sovereignty

ABCI Supercomputer

Japan’s Advanced ABCI 3.0 Supercomputer Increases  AI Sovereignty. HPE built a new  AI supercomputer for AIST, one of the nation’s largest public research institutes, using hundreds of NVIDIA H200 GPUs and Quantum-2 InfiniBand.

NVIDIA H200

Japanese National Institute of Advanced Industrial Science and Technology (AIST) will add thousands of NVIDIA H200 Tensor Core GPUs to its AI Bridging  Cloud Infrastructure 3.0 supercomputer. to boost AI sovereignty and R&D. HPE Cray XD will use NVIDIA Quantum-2 InfiniBand networking for performance and scalability.

ABCI 3.0, Japan’s latest Open AI Computing Infrastructure, promotes AI research and development. This partnership demonstrates Japan’s dedication to strengthening its technical independence and developing its AI capabilities.

ABCI

AIST Executive Officer Yoshio Tanaka stated, “They launched ABCI, the world’s first large-scale open  AI computing infrastructure, in August 2018.” “They’re upgrading to ABCI 3.0 now, building on their expertise operating ABCI over the past few years. Their goal is to transform ABCI 3.0 into a computer infrastructure that will help Japan’s generative AI research and development capabilities grow in partnership with NVIDIA.

“It’s imperative to quickly cultivate research and development capabilities within Japan as generative  AI prepares to catalyze global change,” stated Hirotaka Ogawa, Head of ABCI Operations at AIST Solutions Co. and Producer. “With their partnership with NVIDIA and HPE, Your that this significant upgrade of ABCI will strengthen the organization’s leadership in both domestic industry and academia, advancing Japan’s  AI development towards global competitiveness and acting as a cornerstone for future innovation.”

ABCI 3.0: Japanese AI Research and Development Enters a New Era

AIST, its corporate subsidiary AIST Solutions, and its system integrator Hewlett Packard Enterprise (HPE) are responsible for building and running ABCI 3.0.

METI

The ABCI 3.0 project is a component of a larger $1 billion initiative by Japan’s Ministry of Economy, Trade and Industry, or METI, which includes both ABCI efforts and investments in cloud AI computing. METI has supported the project’s efforts to strengthen its computing resources through the Economic Security Fund.

Following a visit by company founder and CEO Jensen Huang last year, where he met with business and political heavyweights, including Japanese Prime Minister Fumio Kishida, to explore the future of  AI, NVIDIA is closely partnering with METI on research and teaching.

NVIDIA’s Dedication to the Future of Japan

Huang promised to work with others on research, especially in the areas of robotics, quantum computing, and generative  AI. He also promised to invest in AI startups and offer product support, training, and education.

Huang stressed during his tour the importance of “AI factories,” which are next-generation data centers built to handle the most computationally demanding AI activities, in converting massive volumes of data into intelligence.

Huang declared, “The AI factory will become the bedrock of modern economies across the world,” in a December meeting with Japanese media. With its energy-efficient design and ultra-high-density data center, ABCI offers a reliable infrastructure for creating big data and  artificial intelligence applications.

By year’s end, the system should be operational and provide cutting-edge resources for  AI research and development. It will be located close to Tokyo in Kashiwa.

Superior Processing Speed and Effectiveness

The establishment will provide:

Six  AI exaflops, a measurement of AI-specific performance in the absence of sparsity 408 double-precision petaflops, a unit of measurement for overall computer power The Quantum-2 InfiniBand platform connects each node with a bisectional bandwidth of 200 GB/s.

The foundation of this effort is NVIDIA technology, with hundreds of nodes outfitted with eight NVLlink-connected H200 GPUs each, offering hitherto unheard-of computational performance and efficiency.

The first GPU to provide more than 140 GB of HBM3e memory at 4.8 terabytes per second (TB/s) is the NVIDIA H200. Larger and faster memory on the H200 allows for faster generative AI and LLMs, as well as more advanced scientific computing for HPC workloads with reduced total cost of ownership and improved energy efficiency.

For  AI workloads like LLM token creation, NVIDIA H200 GPUs are 15X more energy-efficient than ABCI’s previous-generation architecture.

The combination of cutting-edge NVIDIA Quantum-2 InfiniBand with In-Network computing, which offloads processing from the CPU to networking devices to perform data computations, guarantees effective, fast, low-latency communication essential for managing large datasets and demanding  AI tasks.

ABCI is a platform to expedite collaborative AI research and development with industry, academia, and governments. It has state-of-the-art computing and data processing capabilities.

METI’s significant investment demonstrates Japan’s strategic goal of boosting AI development capabilities and quickening the use of generative AI.

ABCI infrastructure

The advanced  cloud computing platform ABCI ( AI Bridging  Cloud Infrastructure) 3.0 aids  artificial intelligence research and development. Here are a few of ABCI 3.0‘s main attributes and advantages:

Principal Elements of High-Performance Computing (HPC)

Outfitted with cutting-edge GPUs and CPUs to deliver significant processing capability. suited for AI workloads, allowing for quicker machine learning model inference and training. Scalability. Able to flexibly scale resources in response to the demands of  AI workloads. Facilitates large-scale production deployments as well as small-scale trials.

Fast-Network

Makes use of high-speed networking technology to provide high throughput and minimal latency. Allows for the effective transport of data across computing nodes.

Energy Effectiveness

Energy-efficient parts were used in the design to reduce the environmental effect. uses sophisticated power management and cooling systems to cut down on energy use.

Interface That’s Easy to Use

Offers user-friendly APIs and interfaces that make resource management and access simple. Makes it available to academics and developers by supporting a variety of  AI frameworks and tools.

Advantages of Accelerated AI Research

Makes it possible for AI models to be trained, deployed, and prototyped quickly. Supports big datasets and intricate simulations, quickening the rate of advancement in  AI.

Expense-effectiveness

Provides a pay-as-you-go pricing structure that lets customers tailor expenses to their usage. Lessens the requirement for large initial hardware purchases.

Working Together and Sharing

Makes it easier for institutions and academics to collaborate by granting shared access to potent computer resources. Encourages cooperative research environments by supporting joint initiatives and data sharing.

Enhanced Protection

Puts strong security measures in place to safeguard confidential information and intellectual property. Offers encryption and safe access restrictions to guarantee the confidentiality and integrity of data.

ABCI 3.0’s main attributes and advantages

Provides thorough support and educational materials to enable customers to get the most out of the platform.

Offers technical support, courses, and documentation to help with optimization and troubleshooting.

With the capabilities and resources needed to promote  AI research and applications, ABCI 3.0 is a major improvement in cloud infrastructure designed with  AI in mind.

Read more on govindhtech.com

[trinitydigest]

Taiwan Education: Nini Tolson Introduces Mind Report AI for Developing Confident Leaders like NVIDIA’s Jensen Huang

http://dlvr.it/T8PzCJ

[thealphareporter]

Taiwan Education: Nini Tolson Introduces Mind Report AI for Developing Confident Leaders like NVIDIA’s Jensen Huang

http://dlvr.it/T8PrrF

[newsheadlinesnow]

Taiwan Education: Nini Tolson Introduces Mind Report AI for Developing Confident Leaders like NVIDIA’s Jensen Huang

http://dlvr.it/T8Pr1D

[whattheabcxyz]

2024-02-23

Singapore

Reopening of 7 neighbourhood police posts delayed following renovation disruptions

Social service agencies to get more than $100m over 3 years to help attract & retain talent

Traffic police to start using red-light cameras to catch speeding motorists - measure put in place because of rise in traffic accidents

Business

Carousell fined $58K for data breaches, including 1 where data of 2.6m users were sold

History

^ Lithographs from Franz Wilhelm Junghuhn’s "Java-Album" (1854) - the above shows Sumbing volcano in Java

Internet

You can supposedly skip YouTube ads by accessing videos through this website instead

Pets

Dog lived in filthy enclosure for 5 years after owner died - its faeces was never cleaned up

Transport

Passenger calls out Grab driver for allowing 2 passengers to share front seat - the things some people will do just to earn some extra $$$

Travel

Disabled woman banned from boarding China plane even though she had formal permission to do so from airline itself - apparently it forbids people in wheelchairs from travelling without a companion ...retarded behaviour from a 3rd-world airline; I'm not surprised

Desaru restaurant's RM16 cup of Milo sparks investigation by Johor authorities - don't go to Malaysia, period

Education

Singapore students achieve record pass rate of 93.9% for 'A' levels - highest since 2006

Nvidia's Jensen Huang says students should forget coding as a career & instead focus on becoming domain-specific experts in fields such as biology, chemistry, or finance

Sinagpore: $580 basic toilet cleaning course on SkillsFuture portal draws ridicule from netizens

[forbeso]

Do intelligent and qualified people have tattoos?

There is no restriction for people to have tattoos irrespective of their intelligence and qualification. Tattooing is a trend that many people follow but it has a complete history. Moreover, the reason for having a tattoo has no concern with the public reputation. It is a personal choice to have a tattoo that represents your views or ideas. You can ask the reason for the tattoo from the person that has one. He will tell you a complete story associated with it. We often see tattoo works from the people who associate with the entertainment or music industry. The athletes also have body art in different forms like tattooing or body painting. The famous CEO of twitter, Jack Dorsey, has the tattoo of integral sign on his forearm. The integral sign represents his excitement for life. Jack Dorsey’s tattoo represents him behind the curtain with limited influence. Jensen Huang is the president of the NVIDIA software company who has the tattoo of his company’s logo. Jensen does it for the celebration of his company stock value improvement. If you find a person that has a tattoo on his body, it does not mean he is not educated or intelligent.

[ailtrahq]

Google and its charitable arm, Google.org, launched the Digital Futures Project, an initiative to study responsible artificial intelligence (AI) technologies, on Sep. 11. The Mountain View company will invest a total of $20 million in grants to leading think tanks and academic institutions around the world with the expressed aim “to facilitate dialogue and inquiry” into AI technologies. According to a blog post, Google wishes to AI/" target="_blank" rel="noopener nofollow">address issues of fairness, bias, misinformation, Security and the future of work through deep collaboration with outside organizations and a commitment to facilitating responsible discussion:“Through this project, we’ll support researchers, organize convenings and foster debate on public policy solutions to encourage the responsible development of AI.”Awardees who’ve already received grants under the fund include Aspen Institute, Brookings Institution, Carnegie Endowment for International Peace, the Center for a New American Security, the Center for Strategic and International Studies, the Institute for Security and Technology, Leadership Conference Education Fund, MIT Work of the Future, R Street Institute and SeedAI.The timing of the project’s launch comes as the CEOs of some of the largest technology corporations in the world are set to convene in Washington D.C. on Sep. 13 for an “AI Forum” meeting hosted by U.S. Senate Majority Leader Chuck Schumer.Alphabet/Google CEO Sundar Pichai and former Google CEO and Chairman Eric Schmidt are AI-forum" target="_blank" rel="noopener nofollow">slated to attend alongside Meta CEO Mark Zuckerberg, Tesla CEO Elon Musk, Microsoft CEO Satya Nadella and Microsoft Cofounder Bill Gates, Nvidia CEO Jensen Huang, OpenAI CEO Sam Altman and representatives from civil rights organizations. Not only does the auspicious event bring together the CEOs of U.S. companies worth a combined total Market value well in excess of $6 trillion, it also ostensibly marks the first time Zuckerberg and Musk will be in the same room together since their much-ballyhooed mixed-martial-arts match fell apart. According to Senator Schumer’s office, the purpose of the event is to AI-insight-forum" target="_blank" rel="noopener nofollow">discuss artificial intelligence policy. It will be the first of nine such meetings scheduled throughout the fall — though it remains unclear whether proceeding events will feature the same guest list.

[blockncrypto]

Are Cryptocurrencies Useless Compared to AI Chatbots?

Nvidia CEO Jensen Huang recently made headlines when he claimed that cryptocurrencies are "useless" compared to the power of artificial intelligence (AI) chatbots. Huang argued that AI chatbots are a better use of processing power, as they have the potential to transform industries and improve people's lives in a more tangible way.

Huang's comments have sparked a debate about the value of cryptocurrencies and their role in the future of technology. In this blog post, we will explore the arguments for and against cryptocurrencies and AI chatbots, and consider the potential implications for the future.

The Argument for Cryptocurrencies

Cryptocurrencies, such as Bitcoin and Ethereum, have gained significant attention in recent years, with many seeing them as a potential alternative to traditional currencies and a way to democratize finance. Proponents of cryptocurrencies argue that they offer several benefits, including:

Decentralization: Cryptocurrencies are decentralized and not controlled by any central authority, which makes them resistant to government interference and manipulation.

Security: Cryptocurrencies are based on blockchain technology, which creates a tamper-proof record of all transactions. This makes them more secure and less vulnerable to fraud and cyber attacks.

Speed and Lower Fees: Cryptocurrency transactions can be completed quickly and cheaply, especially for cross-border transactions, which can be slow and expensive using traditional banking methods.

Transparency: Blockchain technology provides transparency and visibility into all transactions, making it easier to track and audit financial activity.

The Argument for AI Chatbots

AI chatbots are software programs that use natural language processing and machine learning to communicate with people through text or voice messages. They have the potential to transform industries such as customer service, healthcare, and education, by providing personalized and efficient services. The benefits of AI chatbots include:

Efficiency: AI chatbots can handle multiple conversations simultaneously, which reduces the need for human labor and streamlines customer service operations.

Personalization: AI chatbots can use machine learning to analyze customer data and provide personalized recommendations and solutions.

Cost Savings: AI chatbots can help companies save money by reducing the need for human labor and improving efficiency.

Accessibility: AI chatbots can provide services to people who may not have access to traditional customer service channels, such as people with disabilities or those in remote areas.

The Future of Cryptocurrencies and AI Chatbots

Both cryptocurrencies and AI chatbots have the potential to transform industries and improve people's lives in different ways. While cryptocurrencies offer decentralized and secure transactions, AI chatbots provide personalized and efficient services. It is possible that both technologies can coexist and complement each other in the future.

However, it is important to note that the adoption of cryptocurrencies and AI chatbots is not without challenges. Cryptocurrencies have faced criticism for their association with illegal activities and their volatility in value, while AI chatbots have been criticized for their potential to replace human labor and their susceptibility to errors and biases.

While the debate between cryptocurrencies and AI chatbots continues, it is clear that both technologies have the potential to significantly impact the future of technology and society. It is important for businesses and individuals to stay informed about these technologies and consider their potential implications.

[education30and40blog]

How generative AI could create assets for the metaverse | Jensen Huang

See on Scoop.it - Education 2.0 & 3.0

Jensen Huang, CEO of Nvidia, believes that generative AI will help make the metaverse happen by allowing developers to test virtually.

[mariacallous]

When my friend Lakshminarayana Ganti, an operations management and cybersecurity specialist from India, texted me this year to let me know that the U.S. Department of Homeland Security (DHS) had “lost” the $1,225 check his lawyer had submitted as payment for processing his green card application, I wasn’t especially shocked. Such incompetence is commonplace in U.S. immigration bureaucracy, and most immigrants to the United States have experienced or heard of similar treatment.

The resulting delay though meant that his eligibility for a green card lapsed—the official term is “retrogressed”—and he could now be looking at another year or more before he can reapply. He has already been waiting nearly 10 years. Travel outside the country is severely restricted for green card applicants; he will miss the overseas wedding next February of his nephew, his only close relative currently living in the United States. Both he and his employer, a data management company in Washington, will face thousands of dollars in additional legal expenses to renew his work permit and refile applications.

Ganti has a great deal of company these days. At the end of 2021, there were 1.4 million immigrants on temporary visas working in the country and waiting for the U.S. government to issue them green cards that will finally give them permanent residence and a path to citizenship. David Bier, an immigration expert at the Cato Institute, calculates that the backlog is now so long that more than 200,000 eligible people could die without ever receiving their green card. Some 90,000 children of people in the backlog will “age out”—turning 21 years old without the permanent status in the United States that they would have gained if a parent had received a green card, at which point they must either leave the country, marry a U.S. citizen, or remain as an unauthorized immigrant. More than 80 percent of those caught in the backlog are from India.

The story about the costs and dysfunction of the United States’ ridiculous immigration system has and should be told—again and again. The United States is relying on its engineering and science talent to stay ahead of China in what has become an existential struggle to lead in the industries of the future, from artificial intelligence to green energy to bioengineering. At U.S. universities, international students make up 74 percent of graduate electrical engineering students, 72 percent of computer and information science students, and half or more students in pharmaceutical sciences, mathematics, and statistics. Foreign students who settled in the United States now head flagship high-technology companies, including Microsoft CEO Satya Nadella, Alphabet CEO Sundar Pichai, IBM CEO Arvind Krishna, and Nvidia CEO Jensen Huang. The obstacles thrown up by the immigration system are a growing economic and national security risk to the United States.

The short version of how the current immigration debacle unfolded is that due to partisan differences between Republicans and Democrats over immigration—which are deeper today than ever before—the U.S. Congress has not revised immigration quotas since 1965, when the U.S. population was almost 140 million people smaller. Nor has Congress revisited the rules for highly educated immigrants since 1990—which was before the U.S. information technology sector created millions of new jobs in technical fields that have attracted so many immigrant scientists and engineers. Reforming immigration has been difficult enough. But with the Republicans—who have become an openly anti-immigrant party under the influence of former U.S. President Donald Trump—likely to retake at least the House of Representatives in next month’s midterm elections, prospects for reform will be even dimmer over the next two years.

These antiquated laws impose arbitrary caps on the number of green cards that can be issued each year to nationals of any single country, which hits populous countries the hardest. Under the 1965 law, no more than 7 percent of the 140,000 employment-based green cards issued each year can be given to citizens of any one country. The backlog depends on demand, and a surge in applications can push back waiting times. Currently, the U.S. government is only processing employment-based green card applications for Indians with at least a bachelor’s degree—known as the EB-2 category—if they filed their application before April 1, 2012. Ganti’s “priority date” is July 25, 2013; if the Department of Homeland Security had not lost his application check, then he would have had his green card before the date retrogressed.

There is also a more personal story about the Kafkaesque horrors of the way the United States mistreats its immigrants—those, to be clear, who are following all the rules and behaving exactly as the U.S. government has asked them to. Most come initially as foreign students, and from the first day they arrive, they are expected to navigate a bureaucratic system of almost unimaginable complexity, with the penalty for even one small mistake potentially being the loss of their education, jobs, families, and friends—as well as their removal to a country they left years or even decades before. Immigrants awaiting green cards are forced to make personal decisions about which jobs to take, whether to buy property, and whether to marry—always with a nagging dread that the U.S. government could rip it all apart in an instant. Leaving an unpleasant or underpaid job is difficult because they risk losing their spot in the coveted green card queue. What the government does to immigrants is immensely cruel to people who want nothing more than to build good lives in the United States and are following the rules to do so.

In many ways, immigration to the United States has become an elaborate scheme of bait and switch. U.S. universities are only too happy to receive large tuition checks from foreign students, who often come from wealthy families or are otherwise ineligible for financial aid. U.S. companies are happy to hire them on temporary work visas, of which the most common is the H-1B visa for university graduates. But having invited them in, the government then makes it impossible for many to live any semblance of a normal life. As Rajika Bhandari, an Indian American social scientist, puts it in her recent book America Calling: A Foreign Student in a Country of Possibility: “Too often, when international students choose to stay, they face a downward spiral into a deep, dark abyss of rules, visas, delays, fear, and worst of all, a crippling uncertainty about their future.”

Indian students are well aware of the risks, Today, more are heading to Canada than to the United States—even though the former has around one-tenth the population of the latter—largely because they see a more realistic path to successful permanent residence and citizenship. The loss will be felt more acutely with the continued decline of Chinese students at U.S. schools; amid growing U.S.-China tensions and China’s zero-COVID restrictions, student visa applications from China fell by more than 50 percent during the first half of this year compared to pre-pandemic levels.

I came to know Ganti the first time the U.S. immigration bureaucracy tried to rip away his life. He came to the United States as an engineering student in 1996, when the green card wait was several years at most. He was encouraged by his father, who taught electrical engineering for many years at the prestigious Indian Institute of Technology, and he won a scholarship to attend Purdue University in Indiana. Ganti went on to earn his MBA from Babson College in Boston and was hired in 2006 as a quantitative analyst by a financial company.

He had reached out to me early in 2009 because of my writing on issues of immigration and national security. Some 16 months earlier, he had traveled back to India to visit his family. Expecting that his work visa would be routinely renewed for him to return to his job in Boston, he instead got caught up in the often arbitrary and lengthy scrutiny that faced unlucky visa applicants for many years after the 9/11 terrorist attacks. He waited month after month without any word from the U.S. State Department on when his visa might be issued. In all, he was trapped back in New Delhi for more than two years and lost his job in the United States. When he finally got a new job offer to return and applied for a new visa, he ended up caught in a second lengthy review. In neither case did the U.S. government explain the rationale for the delays.

I testified about his case and others to Congress in 2011; his visa was finally approved shortly after, and he was able to move to Washington. We became friends. He came to dinner at my home and watched our kids in school musicals. I met his parents and his nephew. We have visited many times since.

Ganti is a good and trusted citizen, if the word “citizen” has any meaning. But with the exception of the two years he was stuck back in India, he has now lived in the United States legally for 26 years without the slightest assurance that he will be permitted to stay, and he still risks being locked out again for arbitrary reasons if he travels abroad.

There is little legal recourse for those caught in situations like Ganti’s. Immigration lawyers have been filing a record number of so-called mandamus cases—three times the number of just two years ago. These are a type of legal action that can force the government to speed up the processing of work permits and travel authorizations. In addition to statutory waiting times, DHS often takes many months or longer to handle routine document requests, and the delays became much worse in the wake of COVID-19-related shutdowns. But processing delays are not the biggest issue. Indeed, under the Biden administration, U.S. Citizenship and Immigration Services (the DHS agency that processes claims), has made some significant progress. This year, it has issued some 280,000 green cards, double the normal number, using provisions that allowed the agency to “recapture” green cards that were not issued in 2021, largely because of pandemic shutdowns.

The bigger problem remains the outdated quota restrictions imposed by Congress. In the latest of many efforts at a partial remedy, House Democrats included in their version of the CHIPS and Science Act provisions that would have created exemptions from annual green card limits for foreign nationals with a doctorate in science or technology as well as for those with a master’s degree in “critical” industries like semiconductors, where U.S. need for highly skilled workers is growing. But the measure was blocked by 89-year-old Iowa Republican Sen. Chuck Grassley, a longtime opponent of the entire H-1B program who is up for reelection in November. Other legislative initiatives have also been blocked by Republicans, continuing two decades of failure to reform any significant aspects of U.S. immigration law.

Immigrants like Ganti will keep coming, though in significantly smaller numbers in recent years, because of the hope and opportunities still offered by the United States. But unless something dramatic changes in U.S. immigration law—which seems less likely now than ever—they, too, will be betrayed by the country they have chosen.