Around the world of jensen's partners in deep learning in 80 clicks

Around the world of jensen's partners in deep learning in 80 clicks

Jensen;s last quarter of 2024 linked visions of ai in DC india and japan- here's perplexity summary of twin vision of genii japan maso son and jensen huang - - for 2025 western update see trump's annouoncement with maso son tea time jan 21

Masayoshi Son and Jensen Huang view the AI revolution as hundreds of times bigger than any past technological leap for several key reasons:

  1. Scope of Impact: Unlike previous software revolutions that created tools for human use, AI represents a fundamental shift in creating skills and tasks that can perform work independently.
  2. Market Size: The AI industry targets the entire $100 trillion work market, not just the $1 trillion IT industry, making it a transition that affects every sector of the economy.
  3. Human Intelligence Augmentation: AI has the potential to augment human intelligence, which has been the primary driver of economic activity and GDP growth throughout history.
  4. Unlimited Growth Potential: While industries based on physical atoms are limited by material constraints, AI operates in the realm of electrons and quantum mechanics, allowing for potentially infinite scalability.
  5. Value of Intelligence: The ability of AI to perform complex reasoning and chain-of-thought processes makes it incredibly valuable compared to simply moving physical objects.
  6. Revolutionary Infrastructure: The development of AI grids, like the one announced for Japan, represents a new type of national infrastructure that will be essential for countries to remain competitive in the AI era.
  7. Transformative Potential: AI is seen as a reset button for entire industries, creating opportunities for new companies and technologies to emerge and reshape existing markets.

This combination of factors leads Son and Huang to believe that the AI revolution represents a transformative leap far beyond any previous technological advancement, with the potential to reshape economies and societies on an unprecedented scale.


This is a fast changing game: help us with daily update intelligences during world economic forum (weekly thereafter) [email protected] EconomistDiary.com

Advancing Genomics, Drug Discovery, and Healthcare IQVIA, Illumina, Mayo Clinic and Arc Institute Harness NVIDIA AI and Accelerated Computing to Transform $10 Trillion Healthcare and Life Sciences Industry: Isomorphic DeepMind at GTC25 : healthcare 00 0: 1 JPMorgan; 2 Surgical SaFety # Priscilla Chan CZI

Hong Kong University & HArry Shum take up Jensen's challenge - digital twin new heath centre colleges

AFRICA , Denmark

From data centre to GTU AI factory ; autonomous AI foundry : Taiwan's Foxconn

AI with Musk (owner of largest supercomputer colossus) - Musk first client of nvidia superchip 2015 See footnote 1 _ Jensen saw cars as just a first mass market of autonomis ao- he now has dozens of partners in autonomous design and omniverse is the engineering lab for all conversion between 2d & 3d and vuce versa (eg examples of 3d world robots, surgery plans from 2d scans ...) 2020 everything that moves will be autonomous

AI Space has double meaning - eg musk and bezos space races but also Fei-Fei Li's worldlabs.ai where she is concerned with eg testing do robots unferstanf graviry

Quite early on Jensen partnered with open sourcing pixar code to USD- un testing safety of autonomous cars the depth of 3d sensing etc almost resembels a video game!

Hollywoods most beautiful (eg Pixa) films use nvidia; today AI means that les tham 1 in 100 of the scenes needs to be drawn- ai fills the gaps

How intelligence can solve America's energy crisis (and reunit divided states loss of infrastucture

Defence AI Lockheed Martin

AI 2025 retail & consumer packaged goods

Will India lead world with transforming education ; LLMs translate thousands of dialexts; llama and AI in PC brings AI enterperenuship to every community

Sustainability

Dell PC AI

AI Inception - 20000 startups acess 100 countries: India

AI meta Llama3 models

AI wind

AI Earth2.0 Taiwan

AI Quantum IBM

AI Maths Hannah Fry Damtp cambridge as well as bridge with valley's good deep mind podcast

AI Disaster. prevention,. recovery-transparent exponential risk modelling

Jensen

01:26:51

AI Summit Japan 2024 Fireside Chat

November 2024

Masayoshi Son, Chairman and CEO, Softbank

Jensen Huang, Founder, President and CEO, NVIDIA Corporation

Conversation with NVIDIA founder and CEO Jensen Huang and Softbank Group Corp. CEO Masayoshi Son to hear what's possible with AI and accelerated computing.

====upd day 2of new america...the Japan AI infrastructure announcement and recent US developments:

Japan AI Infrastructure Progress (Since November Meeting)

  1. SoftBank's Key Initiatives:

  • Building Japan's most powerful AI supercomputer using NVIDIA's Blackwell platform
  • Developing AI-RAN (AI Radio Access Network), the world's first combined AI and 5G network
  • Creating an AI marketplace using NVIDIA AI Enterprise software

  1. Technical Specifications:

  • Will receive the world's first NVIDIA DGX B200 systems
  • Network estimated to use 40% less power than traditional 5G infrastructure
  • AI-RAN can utilize excess network capacity (about two-thirds) for AI inference services

US Connections & Recent Developments

  1. SoftBank's US Investment Plans:

  • Masayoshi Son announced $100 billion investment in US over next four years
  • Focus on AI infrastructure and creating 100,000 jobs
  • Part of larger initiative called "Stargate" involving OpenAI and Oracle

  1. Trump Administration Alignment:

  • Trump to announce private sector AI infrastructure investment of up to $500 billion
  • Meeting planned with Son, OpenAI, and Oracle leaders at White House
  • First joint Stargate project will be a data center in Texas

  1. Strategic Parallels: Both Japan and US initiatives emphasize:

  • National AI sovereignty
  • Development of AI infrastructure and data centers
  • Focus on public-private partnerships
  • Integration of AI with existing telecommunications infrastructure

The November discussion between Huang and Son appears to have catalyzed broader international AI infrastructure development, with similar themes now emerging in US policy discussions.


44:38

NVIDIA CEO Jensen Huang’s Special Address at AI Summit India

October 2024

Jensen Huang, Founder and Chief Executive Officer, NVIDIA

Watch Jensen Huang's special address to see the role of AI in India’s digital transformation and how it’s fueling innovation, economic growth, and global leadership.

58:36

AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg

August 2024

Mark Zuckerberg, Founder and CEO, Meta

Jensen Huang, NVIDIA

NVIDIA founder and CEO Jensen Huang and Meta founder and CEO Mark Zuckerberg discuss how fundamental research is enabling AI breakthroughs, and how generative AI and open-source software will empower developers and creators.

59:25

What’s Next in AI: NVIDIA’s Jensen Huang Talks With WIRED’s Lauren Goode

August 2024

Lauren Goode, Sr. Writer, WIRED

Jensen Huang, NVIDIA

In a talk at SIGGRAPH 2024, NVIDIA CEO Jensen Huang chats with WIRED Senior Writer Lauren Goode to explore accelerated computing, generative AI, and the breakthrough research that’s fueling the next wave of innovation, virtual worlds, and robotics.

01:49:19

NVIDIA CEO Jensen Huang Keynote at COMPUTEX 2024

June 2024

Jensen Huang, Founder and CEO, NVIDIA

Watch NVIDIA founder and CEO Jensen Huang deliver a live keynote address ahead of COMPUTEX 2024 on June 2 at 7 p.m. in Taipei, Taiwan, outlining what’s next for the AI ecosystem.

01:00:35

Replay – GTC Korean AI Expert Day

May 2024

Jinho Lee, NVIDIA

Jonghwan Lee, NVIDIA

Ku Hyung Chung, NVIDIA

NVIDIA experts were on hand to summarize the content of CEO Jensen Huang's GTC keynote, as well as share industry AI trends and digital twin best practices.

53:47

Transforming AI

March 2024

Aidan Gomez, Co-Founder and Chief Executive Officer, Cohere

Ashish Vaswani, Co-Founder and CEO, Essential AI

Jakob Uszkoreit, Co-Founder and Chief Executive Officer, Inceptive

Jensen Huang, Founder and Chief Executive Officer, NVIDIA

Illia Polosukhin, Co-Founder, NEAR Protocol

Llion Jones, Co-Founder and Chief Technology Officer, Sakana AI

Lukasz Kaiser, Member of Technical Staff, OpenAI

Noam Shazeer, Chief Executive Officer and Co-Founder, Character.AI

Gomez, Lukasz Kaiser, and Illia Polosukhin, hosted by NVIDIA founder and CEO Jensen Huang.

49:08

Earth-2: Updates on kilometer-scale visualization, simulation, digital twinning, and AI super-resolution

March 2024

Karthik Kashinath, Principal Engineer and Scientist, AI-HPC and Engineering Lead, Earth-2, NVIDIA

Mike Pritchard, Director of Climate Simulation Research, NVIDIA

In July 2023, NVIDIA’s CEO Jensen Huang announced at the Berlin Summit that three technological breakthroughs are needed to achieve Earth Virtualization Engines (EVE): (i) Simulating Earth’s climate at kilometer-scale; (ii) Using AI to emulate the physics of weather and climate from exabytes of data; (iii) Serving this wealth of information via …

02:03:08

GTC 2024 Keynote

March 2024

Jensen Huang, Founder and Chief Executive Officer, NVIDIA

Don't miss this keynote from NVIDIA founder and CEO Jensen Huang. He'll share how NVIDIA's accelerated computing platform is driving the next wave in AI, digital twins, cloud technologies, and sustainable computing.

Footnote 1

To perplexity: One of nvidia's microservices (nims) is for self-driving cars; would i be correct in thinking nvidia has dozens of partners connecting that platform

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Answer

You are correct in thinking that NVIDIA has numerous partners connecting to their platform for self-driving cars, including their NVIDIA NIM (NVIDIA Inference Microservices) offerings. NVIDIA has established a vast ecosystem of partnerships across the automotive industry to advance autonomous vehicle technology.

NVIDIA's Automotive Partnerships

NVIDIA collaborates with a wide range of companies in the autonomous vehicle space:

  • Major Automakers: Mercedes-Benz, Toyota, Volvo, and XPENG are among the automakers working with NVIDIA to integrate their AI technologies into vehicles
  • Ride-sharing Companies: Uber is partnering with NVIDIA to accelerate autonomous mobility development
  • AV Technology Companies: Aurora, Waabi, and Wayve are using NVIDIA's platforms to develop autonomous driving systems
  • Tier 1 Suppliers: Continental is working with NVIDIA to mass-manufacture autonomous driving systems
  • Software and AI Companies: Companies like Foretellix and MathWorks are accessing NVIDIA's Omniverse Cloud Sensor RTX for AV development

NVIDIA NIM for Autonomous Vehicles

While NVIDIA offers a range of technologies for autonomous vehicles, including their DRIVE platform, they have also introduced NIM microservices that can benefit AV development:

  • Sensor Simulation: NVIDIA Omniverse Cloud Sensor RTX, a set of microservices, enables physically accurate sensor simulation to accelerate autonomous machine development
  • AI Model Deployment: NIM microservices allow for easy deployment of AI models optimized for NVIDIA GPUs, which can be crucial for processing the vast amounts of data required in autonomous driving
  • World Foundation Models: NVIDIA's Cosmos platform, which includes world foundation models available as NIM microservices, can be used to generate synthetic data for training and evaluating autonomous vehicles

Ecosystem and Platform Adoption

The adoption of NVIDIA's platforms, including NIM, for autonomous vehicle development is widespread:

  • Dozens of partners across the automotive industry are leveraging NVIDIA's technologies
  • NVIDIA's DRIVE platform is being used by hundreds of automakers, truck manufacturers, robotaxi companies, and shuttle companies
  • The company's AI and computing technologies are being integrated into vehicles by major automakers for various levels of autonomous capabilities

By providing a comprehensive suite of hardware, software, and microservices, NVIDIA has positioned itself as a central player in the autonomous vehicle industry, fostering a large and diverse ecosystem of partners working towards the goal of safe and efficient self-driving technology.

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DID THIS ALSO LEAD TO NVIDIA DESIGNING OMNIVERSE?


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Answer

Yes, NVIDIA's involvement in autonomous vehicle development did contribute significantly to the creation of Omniverse. The challenges and requirements of developing self-driving cars played a key role in shaping NVIDIA's vision for Omniverse as a comprehensive simulation and collaboration platform

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Omniverse and Autonomous Vehicles

NVIDIA recognized that developing safe and reliable autonomous vehicles required:

  1. Massive amounts of diverse training data
  2. The ability to simulate rare and hazardous scenarios
  3. A platform for collaboration among dispersed teams

These needs directly informed several key aspects of Omniverse:

  • Simulation Capabilities: Omniverse provides physically accurate sensor simulation through tools like NVIDIA DRIVE Sim, enabling developers to test autonomous vehicles in virtual environments before real-world deployment
  • Synthetic Data Generation: Omniverse Cloud Sensor RTX APIs allow for generating large-scale datasets, including rare edge cases, to train and validate autonomous systems
  • Collaboration Features: The platform enables global teams to work together seamlessly on complex 3D projects like autonomous vehicle development

Impact on Omniverse Development

The autonomous vehicle industry's requirements pushed NVIDIA to create a platform that could:

  • Handle complex physics simulations
  • Generate photorealistic environments
  • Enable real-time collaboration
  • Integrate with AI and machine learning workflows

These capabilities, initially driven by AV needs, have made Omniverse valuable across many industries beyond automotive

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.In summary, while Omniverse wasn't designed exclusively for autonomous vehicles, the challenges of AV development significantly influenced its creation and ongoing evolution

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Footnote 2 Washington DC Nvidia Summit October 2024

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As generative AI continues to revolutionize industries worldwide, the Federal Government stands on the brink of a technological transformation that promises to enhance efficiency, improve decision-making, and drive innovation. This panel of esteemed government leaders will delve into the profound importance of generative AI, examining …

40:54

NVIDIA's Generative AI Platform: Powering the Next Era of AI Innovation

October 2024

Kari Briski, VP Generative AI Software Product Management, NVIDIA

This talk will kick off a day of discussions, workshops, and demonstrations, providing an overview of NVIDIA's generative AI platform and its transformative capabilities. We'll explore how the platform drives innovation, accelerates research, and enables sophisticated AI model creation. Key topics include understanding the platform …

AI Model Inference Performance, Scale, or Efficiency: Pick All Three With NVIDIA NIM on Google Cloud (Presented by Google Cloud)

October 2024

Unlocking the full potential of AI models demands an inference platform that combines optimized serving, scalable infrastructure and cutting-edge accelerators. In this session, discover how NVIDIA NIM on Google Cloud are empowering organizations to achieve optimized inference performance, operational efficiency, and faster time to …

Outcomes-Based AI in a Software-Defined Future: The Whole of Nation Approach Needed to Ensure Resiliency (Presented by Booz Allen …

October 2024

Despite AI's global ascendency in the last 18 months, the U.S. is not moving fast enough to ensure continued leadership of this critical technology for good. And while we've learned that AI is not a panacea, its advent should serve as a rallying cry for a whole of nation approach to safeguard our country's technological future where the …

Boosting U.S. Innovation and Competitiveness in AI-Enabled Healthcare and Biology

October 2024

The convergence of AI and digital biology data is reshaping the global healthcare and biotech landscape. Join the discussion to understand the critical factors driving innovation, the role of public and private investment, and the challenges and opportunities in maintaining US leadership in AI innovation for healthcare and biology. Join us for a…

51:50

A Deep Dive Into Architecting DGX Blackwell Clusters for Generative AI

October 2024

As the variety and size of generative AI models and the processing needs continue to increase, the compute infrastructure needs to adapt to handle them relaibly. See how we're meeting these needs as we deploy with Blackwell architecture by exploring the philosophy and methodology behind the designs of DGX systems, network…

40:57

Federal Healthcare Leadership Panel: The Growing Importance of AI to U.S. Government Health

October 2024

Jesus Caban, Chief Data Scientist, Enterprise Intelligence and Data Solutions Program Executive Office, Defense Healthcare Management System (EIDS, PEO DHMS)

Micky Tripathi, Assistant Secretary for Technology Policy, National Coordinator for Health Information Technology, and Acting Chief Artificial Intelligence Officer, U.S. Department of Health and Human Services

Rory Kelleher, Senior Director, Global Head of Business Development, Life Sciences, NVIDIA

Belinda Seto, Deputy Director of the Office of Data Science Strategy, National Institutes of Health (NIH)

Gerardo Castaneda, CTO, Advanced Research Projects Agency for Health (ARPA-H)

Federal health agencies are using AI to enhance public health outcomes, streamline operations, and advance medical research. This panel discussion will feature prominent representatives from major NIH institutes who will share their insights on the state of AI in federal health. Panelists will discuss how AI is being used to tackle …

Geospatial Foundation Models: Revolutionizing Remote Sensing

October 2024

NVIDIA's advanced computing capabilities, combined with pioneering machine learning models, are transforming the field of remote sensing and geospatial intelligence. This presentation will explore the groundbreaking work of Berkeley Artificial Intelligence Research Lab (BAIR) and the development of Geospatial Foundation Models (GFMs) …

Creating the Factory of the Future With Sensor Fusion, AI Agents, and Digital Twins

October 2024

"We're witnessing the evolution of factory automation with generative AI, visual language models (VLMs), sensor fusion, and digital twins. Learn how these technologies are transforming factory operations with automated visual inspection, sensor fusion for worker safety, and AI agents for operations managers to interact with their factory …

The Art and Science of LLM Optimization: Advanced Fine-Tuning and Sizing Strategies

October 2024

In this generative AI session, we delve into fine-tuning of Large Language Models (LLMs) and the critical considerations for deploying these models in production for diverse enterprise needs. We explore cutting-edge techniques and best practices for optimizing LLMs, covering parameter-efficient fine-tuning methods like LoRA …

Data Processing at Scale for Training LLMs

October 2024

Advancements in Large Language Models (LLMs) have enabled developers to create a variety of applications such as code generation, translation, and text summarization. The effectiveness of all these models depends on the quality of the data used for training LLMs. Data from public sources often contains duplicates, personally …

Reframing Sensor Processing Challenges as AI Opportunities

October 2024

Modern sensor systems require the creating, moving, processing, and decision-making of vast amounts of sensor data in a relevant timeframe. Traditional sensor processing challenges, bottlenecks, and pressure points can be reframed as opportunities to innovate with AI. This talk will outline a reference sensor processing architecture and…

Develop and Deploy AI-Enhanced Windows Applications on the RTX AI Platform

October 2024

NVIDIA RTX AI provides an end-to-end, GPU-accelerated platform for building and deploying state-of-the-art AI models across PC and cloud. Developers can use RTX to build private, on-device AI that keeps your data and applications secure, while tapping into the power of AI on your PC. This talk will showcase and guide developers on…

From Theory to Practice: Accelerating Generative AI With NVIDIA's Full-Stack Framework

October 2024

In this session, we'll explore the diverse landscape of Generative AI (GenAI) tools and techniques, providing a roadmap for incorporating these technologies into daily workflows. We'll examine popular commercial GenAI tools like Claude and Perplexity, demonstrating their productivity and problem-solving capabilities. Attendees will learn …

Advances in Scalability of Beamformers for Radar and Communications

October 2024

The minimum variance distortionless response (MVDR) beamformer is used in phased array systems to preserve gain in a given direction while reducing gain in other directions which correspond to interfering signals. Because this algorithm requires the inversion of a matrix, the computational complexity scales as O(n^3) where n is the …

The Future of Physical AI, Robotics, and Autonomy

October 2024

Join us for a strategic session presented by NVIDIA's Rev Lebaredian, where we'll explore the integration of NVIDIA’s advanced technologies: OVX for simulation, DGX for AI model training, and Jetson for edge inference. These platforms collectively create a robust ecosystem for developing, simulating, and deploying cutting-edge AI …

From Research to Reality, Putting Mobile Robots to Work

October 2024

Learn what mobile robots are up to in the real world and how Boston Dynamics applies emerging AI to deliver value to our customers. We are witnessing the transition from research to reality for robots capable of moving around, and interacting with, the complex world around us. Boston Dynamics has a rich history of robotics research with …

Advanced Manufacturing Revolutionized: Harnessing the Power of Digital Twins in Public Sector

October 2024

Advanced manufacturing is being revolutionized by the integration of digital twin technology, driving unprecedented levels of precision, efficiency, and innovation in the public sector. Join distinguished leaders from Huntington Ingalls, Lockheed Martin, Northrop Grumman, and Siemens to explore how AI-enabled digital twins …

The Evolution of the AI-Enabled Enterprise (Presented by Hewlett Packard Enterprise)

October 2024

AI in Government has a massive potential to revolutionize Agency operations and citizen services, but the traditional three tiered Enterprise we've grown up with needs to evolve to support the AI workloads that will underpin modern organizational capabilities. In this informative session we will explore the key updates and …

Powering AI Innovation in the Public Sector With NVIDIA and Microsoft Azure (Presented by Microsoft)

October 2024

Explore the game-changing generative AI solutions provided by NVIDIA and Microsoft Azure. Benefit from secure cloud infrastructure and top-tier AI services to speed up the creation and deployment of AI applications. Uncover the quickest route to production-ready models, including large language models, and leverage AI to enhance …

Chris AI Macrae MA DAMTP Cantab

2025report.com year 75 Neumann: are U intelligence/Igontance linker?,

1 个月

https://www.youtube.com/watch?v=dqIyMGjZpYA&t=12s most sensible leadership advince i have heard in 33 years of world class brands leadership chartering of unique organising purpose; by the way deep human innovation transforms past sysrems which powered over people whereas intelligence can now be empoweing

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Chris AI Macrae MA DAMTP Cantab

2025report.com year 75 Neumann: are U intelligence/Igontance linker?,

1 个月

Welcome to month1 quartercentury2 CSIS AMericans Care millennium3: https://www.youtube.com/watch?v=N3HcJJU27Hw&t=2861s & Machines main intel qiestions TO HUMANS. 1) Id intel can be enguneered to unite one od States, Nations, Kingdoms, or peoples - which do you want languages models to mediate. Meanwhile the branch of ai on biotech natural engines sun and winds, and eistein/neumannscience is already advanced if world freed ots top enginneers to collab. Finally los angeles needs the wgole world of youth to sheer it on not just as host of one sports events but total reconstuction as logistics epicentre of all tech's growrh economies win-wins www.2025report.com

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Chris AI Macrae MA DAMTP Cantab

2025report.com year 75 Neumann: are U intelligence/Igontance linker?,

1 个月

uge future freedom many in US overlook - thats the women that trump respects as innovators of scalimg/mrdiating real community everywhere- mrs jd vance fan clubs may be one of americans oost enduring top secret untels currently - more at updating list of 50 wpmen humanising intelligence https://www.dhirubhai.net/pulse/best-2025-you-imagine-edu-health-freed-millennials-chris-voh1e?trackingId=Gy74QieLTlpBwEcLE%2BO6zw%3D%3D&lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_recent_activity_content_view%3BB6wAriD6TvmN09WJ5795Zg%3D%3D

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Chris AI Macrae MA DAMTP Cantab

2025report.com year 75 Neumann: are U intelligence/Igontance linker?,

1 个月

https://www.youtube.com/watch?v=zDo_RrzdRoQ&t=4s thanks Trump Masa Son (Softbank Oracle OpenAi) chnaging recodrs of health with stargate - most important project of ths era (also first support from MGX Nvidia Microsoft )

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Chris AI Macrae MA DAMTP Cantab

2025report.com year 75 Neumann: are U intelligence/Igontance linker?,

1 个月

https://www.youtube.com/watch?v=x8O6ChAWBxs&t=3470s Good to trump's infratsructure leap today is following nvidia japan pathway -ie tapping half centure + tech innovation brainpower of sodtbank Maso son (only entrepreneur in world that selected winner of every tech leap)

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