265SmithWatt 75Neumann JHuangDHassabisFLiEMusk 20 Agentic AIforU

KingCharlesLLM DeepLearning009 NormanMacrae.net EconomistDiary.com Abedmooc.com

Huang Observing AI's biggest deals - 2012     1984    2026

June 1 Jensen in Taiwan -- May 7 20000 DC brains thank SCSP AI+Expo. May 13 Trump asks Huang to join rest of China entourage at Alaska

Jensen video with stanford https://www.youtube.com/watch?v=tsQB0n0YV3k selected quotes

ED: Breaking 12 May 2026 AI Best kept secret- its all too much talk unless layer 5 AI connects massive application community scaling 

.
GEMINI review 5/17/2026:: Governments and national champions in these regions are explicitly aligning their "Sovereign AI" policies with this layered approach to ensure they own their intelligence production.
Asia-Pacific Taiwan: Positioning itself as an "AI Island." It leverages its chip dominance (Layer 2) while investing over $3 billion in energy and "AI factories" (Layers 1 & 3). Singapore: Launched the first Model AI Governance Framework for Agentic AI in 2026 and is building a "Southeast Asia AI Plan" to localize the stack.Japan & South Korea: Rapidly building domestic "AI factories" to reduce dependence on foreign cloud providers.India: Implementing a Sovereign AI Plan that includes state-level LLM development and massive infrastructure buildouts. Indonesia & Vietnam: Emerging hubs for data center (Layer 3) and energy (Layer 1) partnerships to support regional AI growth
. 

Middle East  United Arab Emirates = Early adopters of the "Sovereign AI" narrative. The UAE’s AI Minister and NVIDIA have collaborated to frame AI as a "national natural resource". 

Europe France: Home to Mistral, which partnered with NVIDIA for a 18,000-chip data center to create a European "homegrown alternative". Germany & Netherlands: Focus on high-end manufacturing (ASML) and industrial AI applications (Layer 5). Nordics: Using their green energy surplus (Layer 1) to attract the world's most sustainable "AI Factories". UK: Prioritizing "compute sovereignty" through large-scale government-funded supercomputing projects

Gemini map review 5/17/2026continued here

May 5-9 Washington DC leaps closer to Mapping Huang AI. Even By Jensen Huang norms its been a massive weekend for democratising AI. Looks like 20000 turned up to Carnegie Melon commencement address Sunday May 10 , by Saturday 20000 DC brains had been greeted by layer 5 AI community apps: AI+expo www.scsp.ai

AI REVIEWS 10 MOST IMPOERANT AI (layer 5) APPLIUCATIONS FOR  STUDENTS & TEACHERS OF 2025-6

Do any of top 10 surprise you? Some Westerners are surprised to see Robotics and Embodied AI at number 3. WE expect Asian supercities will lead with introduction not juts of self driving cars (almost ready after 15 years of AI research) but eg with public services in Tokyo where the elderly population dynamics cant find enough people to maintain the city world class usability standards - try benchmarking Bloomberg top 10 ai cities; The two academics with the deepest data algorithm fei-fei li and yann lecun have moved on to world ai and embodied ai. There's not much point in AI having the greatest brainpower in the world if a 2 year toddler understands gravity's consequences more actionably.  Turns out its not just kids who need to celebrate Head, Shoulders, Knees & Toes (and arms); each requiring practice....

But where did vision that ai needs youth to scale its communal applications begin? As far as we can see one bleak December day CSIS Dec 2025 - please help us make sure joyous Diary of layer 5 AI is complete https://normanmacrae.ning.com/forum/topics/jensen100 Hopefully next school year AI curricula wont exist without it : JH CSIS December; India Ambassador DC CSIS Jan ; French & India Ambassador Brookings; India AI Summit Delhi; 2000 AI Expo www.scsp.ai 20000+ carnegie melon commencement

===================================

Breaking - help us video tour every placesmost youth inspiring intelligences

Breaking 16 March2026 at nvidia youtube today replay Jensen GTU speech - his global update of partners and purposes of computers with billion times more maths brainpower than separate human minds- note search out last time jensen keynoted in place you care about for more personalised ai agency nb jensen cases cover all tech needs to bring together to advance human work - eg 5 layers of full stack ai - energy , supercomputer chips, place unique investment purpose of tech and peoples, ai models, scaling community actions/aps. There are at least 3 gameboards beyond LLM agency: Einsteins' solutions to natures biggest puzzles such as illnesses and resource sustainability, space, how world class citizens demand last mile services from autonomous robots and eg drones.

AGENCY & OPEN CLAW GET 2026  OFF TO IMAGINATION GREATEST YEAR?

Breaking Jensen Huang hosts open model session

Open Models: Where We Are and Where We’re Headed [S82480] March 18 3.30est

Harrison Chase | Co-Founder and CEO | LangChain

Jensen Huang | Founder and CEO | NVIDIA

Michael Truell | CEO and Co-Founder | Cursor

Misha Laskin | Co-founder and CEO | Reflection AI

Aravind Srinivas | CEO & Co-founder | Perplexity

Mira Murati | Founder and CEO | Thinking Machines Lab

Arthur Mensch | Co-Founder and CEO | Mistral

Daniel Nadler | CEO | OpenEvidence

Hanna Hajishirzi | Professor, Sr. Director NLP | AI2

Anjney Midha | Founder | Founder, AMP PBC

Robin Rombach | Co-Founder and CEO | Black Forest Labs

IN CHINA ITS THE YEAR OF THE LOBSTER (launching 300 AI team)

Help us clarify which ai superstars you may want to know Case Jensen Huang One of keys to life in 2026 is understand 3 million fold tech changes: what did people do with million fold more chip power 1965-95 then 95-2025 what did they do with million times deeper computer brainpower acceleration and million fold more data transmitted by satellites between communities and clouds. Jensen Huang connected more partnerships than anyone else we know in deeper compute
P1.1 // P2.1 \\ Technology is useless unless it benefits everybody. Jensen Huang has done most to design machines with billion times more maths brainpower than separate human minds. He's up for helping anywhere that wants to democratise intelligence eg  2026India Feb  indiasovai26-1.docx  , Santa Clara March, DC May SCSP.ai ai+expo
To non-mathematicians Jensen says dont worry; discuss purposes of peoplewho bring you AI. Connect your peer network(or home community) to someone transparently scaling the purpose your peoples most need to advance 
Help clarify purposes Jensen is helpig diggerent places with - which jensen keynote are you interested in rsvp chris.macrae@yahoo.co.uk - example washington dc october 205 jensen updated 5 purposes:
TECH MANUFACTURING: His Taiwan partners TSMG & Foxconn have brought trump factories manufacturing superchips and advanced consumer tech
AI FACTORY Nvidia partners have helped us national supercomputers run by Department of Energy install 7/8 AI factory supercomputers - lead applications include biotech, energy ,
US QUANTUM He has arranged for about 15 Quantum boutiques to help advance US quantum supporting energy and other deep science need   
US 6G he has arranged for Nvidia to help US regain 6g leadership
US Last mile Transportation Autonomy With uber he's arranged for US to keep track of where world cllass cities are benchmarking both self driving cars and any last mile advances in autonomous machines
NB Nvidia Jensen is unique position to help with purposes because he has not only built the supercomputers AI performs on but cuda application libraries of most of the world leading uses of AI
.
 
click to GROK Answer AO,  to Q0 at ASAI - question 0 if there are at least 4 different jensen AI wonderlands, why is so much chat distracted by one AGI?

Apps-Agents

Million AI Mods

Data Sov Invest  Platforms

Chips

Energy

........

........
help build llm fed top 100 jensen huang actions -LInkedin:  chris.macrae@yahoo.co.uk
. .
................................
ALPAMAYO: happy ai 2026 wonderful news https://www.youtube.com/live/L0jJrzFMbP8?si=RNIy98UOclj9c2hZ&t=... mercedez benz has designed car with 25+ sensors which is not only driving's safest but could be intelligence data any city needs to transform from being run by gangs 4 best chances to understand this ces LV yesterday, nvidia santa clara march, scsp.ai ai+expo dc may, computex taiwan june?
help needed - updating list of jensen huang INTELLIGENCE  top 100 videos and transcripts fed into llm open micro agent JH -nb some dates to verify (my viewing versus first posted)
Dec 27, 2025 from nox queen elizabeth engineering awards
-see also king Charles hands Huang copy of personal questions 2024-2025
(3447) Oral History of Jensen Huang - YouTube www.youtube.com
Dec 25, 2025 
(3447) Nvidia Acquires Groq for $20 Billion: Why Jensen Huang Just Bought the Future - YouTube www.youtube.com
Dec 25, 2025 

(3397) SCSP.ai  Episode 31: A Conversation with Jensen Huang - YouTube www.youtube.com
Dec 19, 2025 
Jensen Huang Is NOT Backing Down — Google & AWS Bring Their Hardest AI Chips Yet - YouTube www.youtube.com
Dec 14, 2025 
(3346) NVIDIA’s Jensen Huang on Securing American Leadership on AI - YouTube www.youtube.com
Dec 14, 2025 
(3342) Jensen Huang: AI Energy War, US–China Chip Rivalry and Next Revolution|黃仁勳最新訪談:AI能源戰、美中晶片攻防與下一場工業革命 - YouTube www.youtube.com
Dec 13, 2025 

Dec 6, 2025
jensen Stuns Washington DC thinktank clarifies 5 layer AI model : 1 energy; 2 chipsd ghardware; 3 software platforms applied as data sovereignty investments
4 1.5 million ai models
5 billions  of action aps at edge mainly generated by open ai models

LIVE | Macron Tours VivaTech 2025, Joins Nvidia CEO Jensen Huang & Mistral's Arthur Mensch | APT - YouTube www.youtube.com 
Dec 6, 2025 reprise of summer breakthrough - macron sys jensen has done his job for him - can now retire with france and eu intelligence opening up

(3330) How Jensen Huang’s Children Quietly Took Over Nvidia - YouTube www.youtube.com
Dec 4, 2025 -well actually this is about nvidia future of humanoids serving safe cities - it also raises question - who's collecting last mile data (surprsie at google eats and aurora- brookings 555penn - mid december

(3240) A Conversation with NVIDIA CEO Jensen Huang – The Future of AI and Energy - YouTube www.youtube.com
Dec 1, 2025

A Conversation with NVIDIA CEO Jensen Huang – The Future of AI and Energy - YouTube www.youtube.com
Dec 1, 2025

(3357) "jensen huang" - YouTube www.youtube.com
Dec 14, 2025

(3346) NVIDIA’s Jensen Huang on Securing American Leadership on AI - YouTube www.youtube.com
Dec 14, 2025
(3342) Jensen Huang: AI Energy War, US–China Chip Rivalry and Next Revolution|黃仁勳最新訪談:AI能源戰、美中晶片攻防與下一場工業革命 - YouTube www.youtube.com

Dec 13, 2025
(3346) NVIDIA’s Jensen Huang on Securing American Leadership on AI - YouTube www.youtube.com

Dec 12, 2025
(3330) How Jensen Huang’s Children Quietly Took Over Nvidia - YouTube www.youtube.com

Dec 11, 2025
(3322) NVIDIA’s Jensen Huang on Securing American Leadership on AI - YouTube www.youtube.com

Dec 11, 2025
(3346) NVIDIA’s Jensen Huang on Securing American Leadership on AI - YouTube www.youtube.com

Dec 11, 2025
NVIDIA’s Jensen Huang on Securing American Leadership on AI - YouTube www.youtube.com

Dec 11, 2025
(3346) NVIDIA’s Jensen Huang on Securing American Leadership on AI - YouTube www.youtube.com

Dec 9, 2025
NVIDIA’s Jensen Huang on Securing American Leadership on AI - YouTube www.youtube.com

Dec 9, 2025
(3307) Jensen Huang’s Keynote Highlights at NVIDIA GTC Washington, D.C. - YouTube www.youtube.com

Dec 9, 2025
(3307) NVIDIA CEO Jensen Huang Warns: China May Outperform the U.S. in Tech | Full Interview | AI1G - YouTube www.youtube.com

Dec 9, 2025
(3303) NVIDIA’s Jensen Huang on Securing American Leadership on AI - YouTube www.youtube.com

(2963) Nvidia's Jensen Huang on AI & the Next Frontier of Growth - YouTube www.youtube.com
Oct 27, 2025

NVIDIA's Founder & CEO, Jensen Huang Fireside Chat With Mukesh Ambani | NVIDIA AI Summit | CNBC TV18 - YouTube www.youtube.com
Oct 24, 2025

(2943) Nvidia's Jensen Huang Hand-Delivers World's Smallest Supercomputer To Elon Musk - YouTube www.youtube.com
Oct 23, 2025

(2963) Nvidia's Jensen Huang on AI & the Next Frontier of Growth - YouTube www.youtube.com
Oct 23, 2025

(2943) jensen huang - YouTube www.youtube.com
Oct 23, 2025

(2943) jensen huang - YouTube www.youtube.com
Oct 23, 2025

(2943) How Jensen Works - YouTube www.youtube.com
Oct 23, 2025

Found 118 search results for 'youtube jensen' (2942) Jensen Huang Special Address from NVIDIA AI Summit Japan - YouTube www.youtube.com
Oct 23, 2025
APEC CEO Summit - NVIDIA JHH Special Address
November 2025
, NVIDIA
01:43:08
NVIDIA GTC Washington, D.C. Keynote
NVIDIA GTC Washington, D.C. Keynote
October 2025
, Founder and CEO, NVIDIA
01:36:55
GTC Paris Keynote at VivaTech
GTC Paris Keynote at VivaTech
June 2025
, Founder and CEO, NVIDIA
01:42:51
NVIDIA CEO Jensen Huang Keynote at COMPUTEX 2025
NVIDIA CEO Jensen Huang Keynote at COMPUTEX 2025
May 2025
, Founder and CEO, NVIDIA
02:11:48
GTC 2025 Keynote
GTC 2025 Keynote
March 2025
, Founder and CEO, NVIDIA
02:03:20
Quantum Computing: Where We Are and Where We’re Headed
Quantum Computing: Where We Are and Where We’re 
March 2025
, Founder and CEO, Atom Computing
, CEO, D-Wave
, Technical Fellow, Microsoft
, CEO and Co-Founder, SEEQC
, Founder and CEO, NVIDIA
, Chief Executive Officer , Pasqal
, CEO, Infleqtion
, Joshua and Beth Friedman University Professor, QuEra Computing
, General Manager, Quantum Technologies, AWS
, CEO, Rigetti
, Co-Founder and Chief Scientific Officer, PsiQuantum
, Executive Chair, IonQ
, Chief Scientist and Co-Founder, Quantum Circuits
, President and CEO , Quantinuum
, CEO and Co-Founder , Alice & Bob
01:36:59
NVIDIA CEO Jensen Huang Keynote at CES 2025
NVIDIA CEO Jensen Huang Keynote at CES 2025
February 2025
, Co-founder, president and CEO, NVIDIA
NVIDIA SC24 Special Address
NVIDIA SC24 Special Address
January 2025
, VP & GM, Hyperscale & HPC, NVIDIA
, NVIDIA
01:26:51
AI Summit Japan 2024 Fireside Chat
AI Summit Japan 2024 Fireside Chat
November 2024
, Chairman and CEO, Softbank
, Founder, President and CEO, NVIDIA Corporation
44:38
NVIDIA CEO Jensen Huang’s Special Address at AI Summit India
NVIDIA CEO Jensen Huang’s Special Address at AI 
October 2024
, Founder and CEO, NVIDIA
58:36
AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg
AI and The Next Computing Platforms With Jensen 
August 2024
, Founder and CEO, Meta
, NVIDIA
59:25
What’s Next in AI: NVIDIA’s Jensen Huang Talks With WIRED’s Lauren Goode
What’s Next in AI: NVIDIA’s Jensen Huang Talks With 
August 2024
, Sr. Writer, WIRED
, NVIDIA
NVIDIA CEO Jensen Huang Keynote at COMPUTEX 2024
June 2024
, Founder and CEO, NVIDIA
01:00:35
Replay – GTC Korean AI Expert Day
Replay – GTC Korean AI Expert Day
May 2024
, NVIDIA
, NVIDIA
, NVIDIA
53:47
Transforming AI
Transforming AI
March 2024
, Co-Founder and Chief Executive Officer, Cohere
, Co-Founder and CEO, Essential AI
, Co-Founder and Chief Executive Officer, Inceptive
, Founder and CEO, NVIDIA
, Co-Founder, NEAR Protocol
, CTO, Sakana AI
, Member of Technical Staff, OpenAI
, Chief Executive Officer and Co-Founder, Character.AI
49:08
Earth-2: Updates on kilometer-scale visualization, simulation, digital twinning, and AI super-resolution
Earth-2: Updates on kilometer-scale visualization,
March 2024
, Principal Engineer and Scientist, AI-HPC , NVIDIA
, Dir. of Climate Simulation Research , NVIDIA
02:03:08
GTC 2024 Keynote
GTC 2024 Keynote
March 2024
, Founder and CEO, NVIDIA
04:54
NVIDIA Nsight Tools Ecosystem
NVIDIA Nsight Tools Ecosystem
February 2024
, Product Marketing Manager, NVIDIA
12:21
NVIDIA CEO Jensen Huang at Microsoft Ignite 2023
NVIDIA CEO Jensen Huang at Microsoft Ignite 2023
January 2024
, CEO, Microsoft
, NVIDIA
07:37
Jensen Huang at VMware Explore 2023 - General Session Keynote
Jensen Huang at VMware Explore 2023 - General 
August 2023
, CEO, VMWare
, Founder and CEO, NVIDIA
02:30
VMware Private AI Foundation with NVIDIA – Readying Enterprises for Generative AI
VMware Private AI Foundation with NVIDIA – Readying 
August 2023
, CEO, VMWare
, Founder and CEO, NVIDIA
01:22:03
NVIDIA Keynote at SIGGRAPH 2023
NVIDIA Keynote at SIGGRAPH 2023
August 2023
, NVIDIA
01:55:57
NVIDIA Keynote at COMPUTEX 2023
NVIDIA Keynote at COMPUTEX 2023
June 2023
, Founder and CEO, NVIDIA
01:05:31
Level Up with NVIDIA: Nsight Graphics - How to Optimize your Game
Level Up with NVIDIA: Nsight Graphics - How to Optimize 
April 2023
Fireside Chat with Ilya Sutskever and Jensen Huang
March 2023
, Founder and CEO, NVIDIA
, Co-founder and Chief Scientist, OpenAI
01:17:51
GTC 2023 Keynote
GTC 2023 Keynote
March 2023
, Founder and CEO, NVIDIA

GTC

14 VIDEOS (23h 28m)
  • GTC 2023 Keynote with NVIDIA CEO Jensen Huang

    GTC 2023 Keynote with NVIDIA CEO Jensen Huang
    MARCH 19, 2023
  • GTC Sept 2022 Keynote with NVIDIA CEO Jensen Huang

    GTC Sept 2022 Keynote with NVIDIA CEO Jensen Huang
    SEPTEMBER 18, 2022
  • GTC 2022 Keynote with NVIDIA CEO Jensen Huang

    GTC 2022 Keynote with NVIDIA CEO Jensen Huang
    MARCH 20, 2022
  • GTC Nov 2021 Keynote with NVIDIA CEO Jensen Huang

    GTC Nov 2021 Keynote with NVIDIA CEO Jensen Huang
    NOVEMBER 7, 2021
  • GTC 2021 Keynote with NVIDIA CEO Jensen Huang

    GTC 2021 Keynote with NVIDIA CEO Jensen Huang
    APRIL 10, 2021
  • GTC 2019 Keynote with NVIDIA CEO Jensen Huang

    GTC 2019 Keynote with NVIDIA CEO Jensen Huang
    MARCH 19, 2019
  • GTC 2018 Keynote with NVIDIA CEO Jensen Huang

    GTC 2018 Keynote with NVIDIA CEO Jensen Huang
    APRIL 9, 2018
  • GTC 2017 Keynote with NVIDIA CEO Jensen Huang

    GTC 2017 Keynote with NVIDIA CEO Jensen Huang
    MAY 10, 2017
  • GTC 2016 Keynote with Gill Pratt, CEO of Toyota Researc

    GTC 2016 Keynote with Gill Pratt, CEO of Toyota Researc
    APRIL 7, 2016
  • GTC 2016 Keynote with Rob High, CTO of IBM Watson

    GTC 2016 Keynote with Rob High, CTO of IBM Watson
    APRIL 6, 2016
  • GTC 2016 Opening Keynote with NVIDIA CEO Jensen Huang

    GTC 2016 Opening Keynote with NVIDIA CEO Jensen Huang
    APRIL 5, 2016
  • GTC 2015 Keynote with Dr. Andrew Ng, Baidu

    GTC 2015 Keynote with Dr. Andrew Ng, Baidu
    MARCH 19, 2015
  • GTC 2015 Keynote with Jeff Dean, Google

    GTC 2015 Keynote with Jeff Dean, Google
    MARCH 18, 2015
  • GTC 2015 Opening Keynote with NVIDIA CEO Jensen Huang

    GTC 2015 Opening Keynote with NVIDIA CEO Jensen Huang
    MARCH 17, 2015

Views: 512

Reply to This

Replies to This Discussion

 GTC 2026 keynote (March 16, 2026) closed with a fun, memorable musical recap — an animated campfire-style song featuring singing robots, a digital avatar of Jensen Huang (sometimes called "TJ" or Toy Jensen), and even a lobster character. It was produced by NVIDIA's creative team using generative AI tools, and it's available as the official closing video on YouTube.The lyrics you shared match the song's content very closely  It's a lighthearted, rhyming summary of the keynote's big themes: the shift from training to inference, agentic AI, OpenClaw/NemoClaw, Vera Rubin architecture, physical AI/robotics, the 5-layer stack, AI factories, and massive compute scaling.
AI Factories Coming Alive
(GTC 2026 Keynote Closing Song – Campfire Recap)
Agents learning how to drive
from open models to robots,
Now we'll break it all down for you:
Compute exploded. What we saw,
from CNN's¹ to open claw².
Agents working across the land
but they need the power to meet demand.
So we solve the problem. It was brewing³
We multiplied compute by 40 million⁴. Once upon an AI time
training was the paradigm⁵
Sure, it taught the models how
but inference⁶ runs the whole world now
Vera⁷ shows us who's the boss
at 35 times less the cost⁸
Blackwell⁹ makes the tokens sing¹⁰;
NVIDIA the inference king¹¹
Yeah factories once took years
Vendors pulling racks and gears built up slowly,
piece by piece. No clear way to scale this beast
DGX¹² and Dynamo¹³ know what to do.
Turning power into revenue.
Agents used to wait and see,
now act autonomously¹⁴
But if they ever try to stray
safe across block¹⁵ and say no way
Nemo Claws¹⁶ there to guard the course.
And yes, my friends, it's open source¹⁷.
Cars that think and droids that run
This ain't the movies. It's all begun
Alpha Mayo¹⁸ calls the shots.
It's a GPT moment¹⁹ for the bots
From sim streets. Now watch them drive
Put your hands up for physical AI²⁰.
Industrial age built what came before.
Now we built for AI even more.
Vera Rubin²¹ plus Groq²²
Make the inference splash.
Put them together. Now it's raining cash.
We build new architecture every year
cos claws keep yelling more tokens here.
The AI stacks for all to make.
So let us all eat five layer cake²³.
The moment's bright.
The path is clear
cos open models led us here.
When data's missing, there's no dispute.
We just generate more with compute.
Robots learning without flaw.
Fueling the four scaling laws²⁴.
The future's here. Won't you come [music] and see?
Welcome all to GTC
Footnotes (Technical Jargon Explained)
  1. CNN's — Refers to Convolutional Neural Networks, the classic deep learning architecture for image/video processing. The song contrasts old-school CNNs with newer agentic/open systems.
  2. Open Claw — OpenClaw, the viral open-source agentic AI platform (by Peter Steinberger) that Jensen called "as big as HTML." NVIDIA backed it with NemoClaw for enterprise safety/privacy.
  3. brewing —  means the problem (inference demand) was building up.
  4. multiplied compute by 40 million — Hyperbolic recap of NVIDIA's claim that effective AI compute has scaled enormously (often cited as millions-fold since early days, tied to Moore's Law + architectural gains).
  5. training was the paradigm — Past era when model training dominated AI progress; now inference (running models) is the bigger workload.
  6. inference — Running a trained model to generate outputs (e.g., tokens in chat); now ~80%+ of AI compute demand per NVIDIA.
  7. Vera — Vera Rubin, NVIDIA's next-gen AI platform (announced at GTC), successor to Blackwell, focused on extreme inference efficiency.
  8. 35 times less the cost — Vera Rubin's claimed 35× better inference performance per dollar vs. prior gens.
  9. Blackwell — NVIDIA's current flagship GPU architecture (B200 etc.), powering massive inference scale.
  10. tokens sing — Tokens (sub-word units in LLMs) "flow" smoothly; playful way to say high-throughput generation.
  11. inference king — NVIDIA dominates inference hardware market.
  12. DGX — NVIDIA's AI supercomputer line (e.g., DGX systems for enterprise AI factories).
  13. Dynamo — Likely Dynamo, NVIDIA's AI data engine/orchestration for scaling AI factories.
  14. act autonomously — Core of agentic AI: agents plan, reason, use tools, and execute independently.
  15. safe across block — "Safe across the board" + blockchain-like safety? Likely NemoClaw's guardrails preventing unsafe actions.
  16. Nemo Claws — NemoClaw, NVIDIA's secure, policy-enforcing runtime built on OpenClaw.
  17. open source — OpenClaw is fully open-source, a big theme.
  18. Alpamayo  -A family of open-source Vision-Language-Action (VLA) models (e.g., Alpamayo 1 and Alpamayo 1.5) that enable vehicles to perceive (from cameras/sensors), reason (chain-of-thought explanations for decisions), and act (generate safe driving trajectories). It bridges interpretable reasoning with precise control to handle "long-tail" (rare/edge-case) driving scenarios safely and transparently.Includes supporting tools like AlpaSim (simulation framework) and Physical AI Open Datasets (1,700+ hours of diverse driving data). Available on GitHub, Hugging Face, and NVIDIA Developer resources — fully open for research and development.
  19. GPT moment for the bots — Like ChatGPT's 2022 explosion, but now for physical robots/agents.
  20. physical AI — Embodied AI/robotics (humanoids, autonomous machines) powered by NVIDIA (Isaac GR00T etc.).
  21. Vera Rubin — See #7.
  22. Groq — Groq's LPU (Language Processing Unit), inference-specialized chip; Jensen name-dropped it as complementary/fast inference.
  23. five layer cake — Jensen's "AI 5-layer cake": energy → chips → infrastructure → models → applications (Layer 5 = agentic/community apps). 
  24. four scaling laws — Chinchilla/Kaplan scaling laws (data, compute, parameters, inference scaling); now extended to robotics/physical AI.
View Chris AI Macrae MA DAMTP Cantab’s graphic link

Chris AI Macrae MA DAMTP CantabAuthor

chartering how intelligence coded by brands. pixels. language 2026 launch Neumann ai halls of fame celebrating maths deepest trusts
1d
https://www.youtube.com/watch?v=gwW8GKwHB3I&t=3840s
Prediction AI must urgently change education - how teachers and students spend their time- but this doesn't have to mean less teachers
You just give every one of those teachers a personalized curriculum for every student in the room. It makes them all bionic and leads to a lot more. Every single student will be assisted by AI,
but every single student will need great teachers. Yeah. Yeah. Amazing.
Comment image, no alternative text available



View Chris AI Macrae MA DAMTP Cantab’s graphic link

Chris AI Macrae MA DAMTP CantabAuthor

chartering how intelligence coded by brands. pixels. language 2026 launch Neumann ai halls of fame celebrating maths deepest trusts
1d
https://youtu.be/gwW8GKwHB3I?si=mUHsFR9uloXY__YJ&t=2992
where is AI have a true impact on the health care system?

Jensen : There's several several areas that Nvidia is involved in in um in healthcare. 1) AI physics and that's AI biology using AI to understand represent behavior biologically
that's very important in drug discovery. There's second which is AI agents and that's where the assistance and helping diagnosis and things like that. Two native ai companies : Open evidence and Hippocratic are really good examples.
. A third part that we're in involved in is physical AI.to understand the properties of the laws of physics and that's used for robotic surgery Every single instrument whether it's ultrasound or CT or whatever we interact with in a hospital in the future will be agentic.
IE open claw in a safe version will be inside every single instrument. Footnote Jensen listed 100 native ai companies at GTC 2026 https://www.economistdiary.com/

Jensen Huang: Nvidia's Future, Physical AI, Rise of the Agent, Inference Explosion, AI PR Crisis

(0:00) Jensen Huang joins the show! (0:26) Acquiring Groq and the inference explosion (8:53) Decision making at the world's most valuable company (10:47) Physical AI's $50T market, OpenClaw's future, the new operating system for modern AI computing...





View Chris AI Macrae MA DAMTP Cantab’s graphic link

Chris AI Macrae MA DAMTP CantabAuthor

chartering how intelligence coded by brands. pixels. language 2026 launch Neumann ai halls of fame celebrating maths deepest trusts
1d
https://youtu.be/gwW8GKwHB3I?si=GmhS_a6bmX0KQ8YX&t=3120
when are we to see humanoid robots in the home, and is China ahead on thiis?


Jensen, actually the US invented the industry largely.
you could argue we got into it too soon and We got tired um about five years before the enabling technology appeared.. But it's here now. From the point of high functioning existence proof, to reasonable products technology never takes more than a couple two three cycles. And so a couple
that will likely be three years to 5 years away before we have robots all over the place..
Yes I think China is formidable in humanoids and the reason for that is because their micro electronics,
motors, their rare earth, their magnets, which are foundational to robotics, they are the world's best. And so in a lot of ways, our robotics industry relies deeply on their ecosystem and their supply chain. But this is obviously moving very quickly. . (interviewer some like Elon seems to think we're going to have one robot for every human. 7 billion for 7 billion, 8 billion for 8 billion.)

Jensen Well, I'm hoping more

Jensen Huang: Nvidia's Future, Physical AI, Rise of the Agent, Inference Explosion, AI PR Crisis

(0:00) Jensen Huang joins the show! (0:26) Acquiring Groq and the inference explosion (8:53) Decision making at the world's most valuable company (10:47) Physical AI's $50T market, OpenClaw's future, the new operating system for modern AI computing...



1 impression


View Chris AI Macrae MA DAMTP Cantab’s graphic link

Chris AI Macrae MA DAMTP CantabAuthor

chartering how intelligence coded by brands. pixels. language 2026 launch Neumann ai halls of fame celebrating maths deepest trusts
1d
https://youtu.be/gwW8GKwHB3I?si=bem1f3gx1ehsgZWs&t=2403
to jensen - you've made massive progress in self-driving cars and hundreds of partners - how do you navigate that & your big new announcement including BYD and ever deeper partnerships as different as mercedes, and uber and 11+ years platform with Tesla?

Jensen Firstly we are the only full stack AI company serving platforms needed for self driving cars- and We believe that everything that moves will be autonomous completely or partly
someday. Moreover, what we don't do is build self-driving cars,

but we want to enable every car company in the world to build self-driving cars. And so, we built all three computers, :the training computer, the simulation computer, the evaluation computer,
as well as the car computer. We develop the world's safest driving operating system. We also created the world's first reasoning autonomous vehicle so that it could decompose complicated scenarios into simpler scenarios that it knows how to navigate through just like all deep reasoning systems. Alpommyo Reasoning system is achieving incredible results. We open this but offer vertical optimization. We horizontally innovate and let everybody decide. what Do you want

Jensen Huang: Nvidia's Future, Physical AI, Rise of the Agent, Inference Explosion, AI PR Crisis

(0:00) Jensen Huang joins the show! (0:26) Acquiring Groq and the inference explosion (8:53) Decision making at the world's most valuable company (10:47) Physical AI's $50T market, OpenClaw's future, the new operating system for modern AI computing...





View Chris AI Macrae MA DAMTP Cantab’s graphic link

Chris AI Macrae MA DAMTP CantabAuthor

chartering how intelligence coded by brands. pixels. language 2026 launch Neumann ai halls of fame celebrating maths deepest trusts
1d
https://youtu.be/gwW8GKwHB3I?si=Iifr5_mCdDL5cuXw&t=2020

Jensen-Nobody wants the US to win global AI race more than you,? But a year ago, Biden era was anti- American diffusion of AI around world. So into the new administration. - where are we in terms of global diffusion of US AI technology?

Jensen Well, first, President Trump wants American industry to lead... to spread American technology around the world. ..United States to be the wealthiest country in the world. He wants all of that. Biden admin: Nvidia gave up a 95% market share in the second largest market..

President Trump wants us to get back. And first, to get
license licensed for the companies that we're going to be able to sell to. We've got many companies who have requested for licenses. We've applied for licenses for them and we've got approved licenses from sec secretary lutnik. we've informed the Chinese companies so we're in the process of cranking up


Continuation of Gemini review 5/17/26 of places where AI data sovereignty leaders understand 5 layer frame AI frame of Jensen Huang

The European Union (Brussels): Launched a $20 billion plan to build four "AI Gigafactories" to lower dependence on U.S. and Chinese firms.
China: Recognized by Huang as a major competitor that leads in Energy (Layer 1) and Open-Source Models (Layer 4).
United States: Specifically hubs like Northern Virginia, which are scaling their energy and infrastructure layers to maintain a global lead. 
YouTube·Yahoo Finance +3
💡 Key Takeaway: Sovereignty is no longer just about where the data is stored; it is about who owns the power plants, the factories, and the base models that process that data. 
NVIDIA Blog +1
Would you like to know more about:
  • The specific energy projects supporting these AI factories?
  • Which countries are leading in Sovereign LLMs (Layer 4)?
  • How private companies in these regions are partnering with governments?

2012 big deal (https://www.youtube.com/watch?v=tsQB0n0YV3k 1.05.34 May 2026 Stanford's best ever 2 minute case review - becoming worlds biggest corporation and humanity's 100 deepest partnerships)

jensen huang " 2012 that's when  two young engineers, Alex and Ilya, and Hinton, of course came up with a neural network model. And boom, it crushed the computer vision capabilities (imagenet annual world competition)

of all the computer scientists, decades before them, in one shot. And so is that a big deal?
'''Now, the next question is, so what's going to happen next? How far can you take it? And then if you could do it in this way,
what else can you solve? And if this was able to solve some really amazing problems,
what does that mean to computers and computing? And so you just keep asking yourself these questions. And so you're just iterating like that, all the way to first principles. And then from that, you create a mental model about the future of computing.
1:06:22
And where is it going to be? What can it do? For example, self-driving cars and robotics.
How large would models become? And if so, what would computers look like? 
Processing neural networks, how is that different than processing floating point numbers, and integers, and first principal mathematics?
We express everything in FP64 or FP32, but obviously, neural networks don't have to do that. And so you reason through it like this.
And then you build up a mental model of the future. And then your company, where you are going to be within it.
And then you just work backwards from there. And then now, the question, of course, is, you could be wrong.
1:07:03
And oftentimes, if you reason about things properly, you're not completely wrong, but you're not completely right.
1:07:09
And so I tend to be very comfortable, saying, OK, these are the things that will likely happen.
1:07:17
And these are things that will absolutely happen. And these things may happen. And based on that, I think we ought....

1984 is when steve jobs launched personal macs to prevent orwell's 1984 and soon afterwards  radiologist elliott fishman first began digital pattern analysis and mri became intelligence's greatest data space

ju,mp 20 years to 2004 nvidia jensen huang and steve jobs asked elliott if he'd like to join in coding pixels

( AI deepest (einstein pattern maths) consequences to date  include crispr databases for dna editing - see berkeley's jennifer doudna or royal society paul nurse or Paris Emannuelle Carpentier; hassabis open sourcing 250 million proteins alphafold3  

then jump to 2024 nvidia google and pixar now owned by disney startred partnering in robotics

=====================================

here is gemini's proofcheck of this case study

The Johns Hopkins & Elliot Fishman Connection

Jensen Huang and Dr. Elliot Fishman share a friendship and professional history that dates back decades, rooted in their mutual interest in 3D visualization

  • The Shared History: Dr. Fishman was an early pioneer of 3D CT imaging using the Pixar Image Computer in the 1980s.
  • The 2004 Shift: By the mid-2000s, as NVIDIA moved from just "making pixels" for games to "computing pixels" for intelligence, Fishman and Huang worked to port these massive datasets to the GPU.
  • The "Brain Tool": This collaboration led to Cinematic Rendering, a technique that uses NVIDIA’s GPU power to create photorealistic 3D maps of human anatomy. It is now considered a gold-standard tool for surgical planning and complex diagnoses.
  • The Legacy: In 2018, Jensen Huang (along with Pixar co-founder Ed Catmull) helped fund the Elliot K. Fishman, M.D. Professorship at Johns Hopkins to ensure this intersection of tech and medicine continues. 

Johns Hopkins Medicine +5

Why 2004 was the Turning Point

The reason your memory of 2004 is so sharp is because that is when NVIDIA began developing CUDA (Compute Unified Device Architecture). 

Wikipedia

  • Gaming: NVIDIA was the king of "traditional games," but Huang realized the math used to shade a pixel in Half-Life 2 (released in 2004) was the same math needed to map a tumor.
  • Pattern Maths: This "pattern math" allowed GPUs to process thousands of calculations simultaneously, which is why it became the foundation for both medical imaging and modern AI.
  • Beyond Graphics: By 2004, Huang was already positioning the GPU as the "brain" for any industry that had too much data and not enough speed. 

holisticon.pl +2

Key Milestones in the "NVIDIA + Radiology" Timeline

Era 

Focus

Key Figure / Tech

Late 80s

Early 3D CT

Elliot Fishman using Pixar hardware

2004

The Pivot

Development of CUDA begins; Gelato launched

2007

Accessibility

CUDA officially released, making GPU coding "easy" for scientists

2010s

Photorealism

Launch of Cinematic Rendering for "lifelike" medical scans

Today

AI Agents

NVIDIA MONAI framework used for AI-driven diagnostics

💡 Jensen's Vision: Huang often notes that radiology was the first field many "experts" predicted AI would destroy, but he argues it has instead become the "superpower" that allows doctors like Fishman to see what was once invisible. 

If you're interested, I can look into:

  • The specific hardware (like the Quadro cards) that hospitals began installing in 2004.
  • How Cinematic Rendering specifically compares to the "grainy" scans of the past.
  • The current status of the Johns Hopkins collaboration regarding AI and cancer detection. Elliot K. Fishman, M.D. Professorship Dedication

Dec 1, 2019 — The Elliot K. Fishman, M.D. Professorship in Radiology was established in the Russell H. Morgan Department of Radiology and Radiol...

 

Johns Hopkins Medicine

  • CUDA - Wikipedia

CUDA (Compute Unified Device Architecture) is a proprietary parallel computing platform and application programming interface (API...

Wikipedia

  • Advanced Diagnostic Imaging from Dr. Elliot K. Fishman

Elliot K. Fishman, M.D. is Director of Diagnostic Imaging and Body Computed Tomography (CT) in the Russell H. Morgan Department of...

CTisus

AT CROSSROADS/CROSS-SEAS TO HUMAN INTELLIGENCE

2026 Taiwanese people with 150+ suppliers to Nvidia Vera Rubin Supply Chain are the trusted heart of best AI apps and agency scaling community's most vital actions 

SUPPLY CHAIN SERVING HALF TRILLION DOLLARS GREATEST COMPUTE BRAINS ...

 

ED asks In Taiwan today Jensen Huang said Taiwan supply chain contributing to Vera Rubin ecosystem is largest ever with as many as 150 suppliers- can you list supply partners in rough order of unique importance to vera rubin ecosystem
GEMINI SAYS:
Nvidia’s Vera Rubin platform, touted as the largest, most complex hardware rollout in Taiwanese history, leverages a massive network of 150 local partners to produce nearly 2 million components. Key partners critical to the ecosystem include TSMC for wafer fabrication and CoWoS packaging, Foxconn and Quanta for assembly and server rack manufacturing, and Wistron, Nanya Technology, ASMPT, and BizLink for infrastructure, memory, and specialized components. Read more about the supply chain impact at Taiwan News.
 
AI Weekly +4
  • NVIDIA Taps Taiwanese Nanya Technology’s LPDDR5X Memory For Vera Rubin Platform, Offering 3x Capacity & Over 50% Bandwidth Boost
    Related Story Chinese Memory Starts Entering Global Markets As Corsair DDR5 Modules Spotted With CXMT DRAM. We know that NVIDIA's ...
    Wccftech
  • Nvidia Vera Rubin Declared Taiwan's Biggest Ever Product ...
    Summary. Jensen Huang touched down in Taipei on May 23, more than a week before Computex, to personally frame Vera Rubin as the la...
    AI Weekly

    NVIDIA CEO Jensen Huang arrived at Taipei Songshan Airport today, one week ahead of schedule, to warm up for the upcoming COMPUTEX...
ED asks: :Is any country contributing more to vera rubin supply chain than taiwan?
Gemini replies:. Taiwan is currently the single largest and most critical contributor to the Vera Rubin supply chain, with Jensen Huang describing the platform's launch as "the largest in the history of Taiwan". 
YouTube·DWS News +1
While other countries provide vital specialized components—such as South Korea for high-bandwidth memory (HBM) and the United States for core IP and design—Taiwan's role in fabrication, advanced packaging, and system assembly is currently unparalleled. 

https://www.youtube.com/watch?v=E-F5-0_-WGY  Fox business intervew jensen hunag may 2026 Nvidia quarter Here's what jumped out. 51.2 billion of your 57 billion revenue number came from the data center chip sales. Monstrous: I'm so curious to know what's the largest single order to date that you've gotten.

0:23
23 seconds Jensen :
Gosh. I don't know. They're all in the billions. you know, they all have to be in the billions in order to add up to 51. And so, so, um, I I don't know
0:32
32 seconds
exactly which one, but one of the things that that is really great about Nvidia's architecture is that we're so diversified.
0:40
40 seconds
AI is not just one thing. It's not just one language model or one chatbot. AI is a system of models and you could use it
0:48
48 seconds
for, of course, chatbots, but you could also use it for physics and biology and chemistry and of course robotics and
0:55
55 seconds
self-driving cars and and even within language models. There's so many different architectures. Nvidia's architecture is the only one in the world that runs literally everything.
1:05
1 minute, 5 seconds
And yesterday we announced a big partnership with Anthropic. And now we're the only architecture in the world that runs every single premier AI model
1:15
1 minute, 15 seconds
as well as every single open- source model and of course every single version modality of model. And so our
1:22
1 minute, 22 seconds
versatility makes it possible for us to have a lot of different customers. And for all of those customers, we can bring them a lot of other customers that ultimately use their cloud capabilities.
1:32
1 minute, 32 seconds
Yeah, it feels like all roads are leading to Nvidia. How are orders for your next generation ship, the Reuben trending? And are you still on track to ship them at the end of 2026?
1:43
1 minute, 43 seconds
Well, I announced at GTC that starting this year, because we started shipping uh Blackwells over the course of this
1:51
1 minute, 51 seconds
year through the end of next year, we have visibility of half a trillion dollars worth of Blackwell and Vera
1:59
1 minute, 59 seconds
Rubin. And we'll start shipping Vera Rubin in Q3 time frame of next year. The silicon is back. It is working
2:08
2 minutes, 8 seconds
wonderfully. People engineers across Nvidia are bringing up this system. It's doing it beautifully and uh we're on
2:15
2 minutes, 15 seconds
track to for volume production in the Q3 time frame of next year. In the meantime, uh, I announced that we have half a trillion dollars worth of
2:23
2 minutes, 23 seconds
visibility, but in the last 30 days, we announced some major new wins that were not included in that half a trillion
2:30
2 minutes, 30 seconds
dollars. So, we have we're adding, of course, the anthropic opportunity. We're adding uh Elon's XAI now being uh
2:40
2 minutes, 40 seconds
deployed in Saudi Arabia. We announced a partnership with Humane and that those GPUs have been licensed and they're
2:48
2 minutes, 48 seconds
going to be deploying in in Saudi Arabia. And we also announced that AWS is going to also build 150,000 GPU AI
2:57
2 minutes, 57 seconds
infrastructure in Saudi Arabia. All of those are all net new and so orders are still coming in and so it's going to be a pretty pretty busy year for us the next uh next year.
3:07
3 minutes, 7 seconds
It sounds like then the current quarter is going to be crazy good. Can can I say that? What do you think?
3:13
3 minutes, 13 seconds
Well, we guided to a much larger quarter next quarter and so next the guidance that we provided is crazy good. I would agree with that and um but you know
3:22
3 minutes, 22 seconds
we're in the beginning of a very long-term buildout of the fundamental infrastructure of humanity which is
3:30
3 minutes, 30 seconds
computing. As you know we reinvented computing for the first time in 60 70 years. And so all of the computers that
3:37
3 minutes, 37 seconds
have been installed around the world is being modernized to accelerated computing, Nvidia's GPUs and to
3:44
3 minutes, 44 seconds
artificial intelligence. And so this buildout is going to last us many years to come.
3:49
3 minutes, 49 seconds
You know, it was exactly a year ago, and this is why I ask about Reuben orders, etc., because it was a year ago that you and I spoke about the problem a lot of
3:58
3 minutes, 58 seconds
companies wish they had. Blackwell orders were pouring in from the fire hose so fast. Demand outweights supply.
4:04
4 minutes, 4 seconds
What specifically have you changed to prevent any bottlenecks when Reuben rolls off the Taiwan semi-assembly line?
4:11
4 minutes, 11 seconds
Well, you know, we're not going to be caught flatfooted too many times and we now have a much better understanding of the scale. Yeah.
4:18
4 minutes, 18 seconds
And the breadth, the diversity of our customer base. We've done a really good job planning our supply chain. We now have the largest supply chain of any
4:27
4 minutes, 27 seconds
company in the world. We work with TSMC of course manufacturing in Taiwan and then also very proudly for the first
4:34
4 minutes, 34 seconds
time here in United States. We work with every single memory vendor. Now we have three different sources, three gigantic
4:41
4 minutes, 41 seconds
sources of really complicated memory and every system maker in the world are partnering with us and so we've been
4:48
4 minutes, 48 seconds
planning for the Vera Rubin launch and we've done a really good job getting set up for that. It's going to be a really big year next year. Jensen reveals half
4:57
4 minutes, 57 seconds
a trillion dollars in Blackwell and Vera Rubin visibility through end of 2026, but in just the last 30 days added
5:05
5 minutes, 5 seconds
massive new wins not included in that number. Anthropic, XAI, AWS, and a large AWS deployment. Meanwhile, Invidia has
5:14
5 minutes, 14 seconds
also built the largest supply chain of any company in the world. This does feel like a once- ina-lifetime demand cycle that separates Nvidia from every other
5:22
5 minutes, 22 seconds
semiconductor cycle in history. Half a trillion dollars in committed orders with 18 months of visibility is unprecedented. For context, Nvidia's
5:31
5 minutes, 31 seconds
entire 2026 revenue was around $60 billion. But the staggering part is the massive backlog just keeps growing. In
5:39
5 minutes, 39 seconds
just 30 days, a single month, they added multiple billion dollar deals on top of that half a trillion. That doesn't seem like demand moderating or plateauing.
5:48
5 minutes, 48 seconds
It's demand accelerating even after customers have already committed hundreds of billions of dollars in aggregate spending. The anthropic win is
5:56
5 minutes, 56 seconds
particularly significant because it makes Nvidia the only architecture in the world that runs every single premier AI model. Anthropic was previously on
6:04
6 minutes, 4 seconds
custom silicon and alternative architectures. Getting them onto Nvidia GPUs means claw's entire inference and training infrastructure now runs on
6:13
6 minutes, 13 seconds
Blackwell and Reuben.

Which of Nvidia's Eastern Data Sovereign partners want most help with UN health goals?

Currently deep ai advances are being celebrated drug discovery - see nvidia clara platforms (footnote 1) parallel to 250 million protein breakthroughs from hassabis deep mind. IN May 2026 Hassabis announced hope that Einstein Brain will be replicable by ai agnets within 3 years - leadin to a lot wider ai applications- here are 19 joy of ai contexts chats hope einstein brain will help them link humans to

.

For their own people Japan and Korea seem to want support of mental health and of course plague mitigations; japan may be leader in helping UN agenda in africa

Taiwan and hong kong appear to make quick start in uniting partnerships around digital twinning big cities most affordable teching hospitals

=======================================

some questions to update 

emerging health ai atgtu 2022 

NVIDIA Emerging Chapters Developer Meetup

March 2022

, Emerging Areas Lead, NVIDIA  
NVIDIA Emerging Chapters Developer Meetup
March 2022
, Emerging Areas Lead, NVIDIA
, Mechanical Engineering Ph.D. Student , University of Cincinnati
, Co-Founder, Rhions Lab
, Founder/Co-Founder, PyData Tunisia
, Africa Data School
, TFUG Casablanca
MORE INCEPTION/nVIDIA CLUB ai STARTUPS

Darlington Akogo

   2nd degree connection2nd INCEPTION-TALKS
Founder, CEO, minoHealth AI, karaAgro AI | AI4Radiology Chair, United Nations ITU & WHO Focus Group on AI For Health
  • minoHealth AI Labs
Ghana  Contact info
alibaba fortune change world nominrr for ai canacer detection https://www.alizila.com/alibabas-ai-powered-cancer-detection-tool-r...
==========================================
footnote 1

Health

NVIDIA Clara is the foundational AI platform for healthcare and life sciences, standardizing medical imaging, genomics, smart hospital sensing, and drug discovery. [1, 2, 4, 5]

The industry's geographic division of labor reflects how NVIDIA relies on its East Asian supply chain to build the hardware infrastructure: NVIDIA designs the AI workflows and microservices, while Taiwan, South Korea, and Japan integrate them into medical electronics, hospital digital twins, and robotic systems. [1, 2]

  1. Taiwan: The System Builders & Smart Hospital Digital Twins [1]

Taiwan acts as the physical launchpad for Clara Guardian (the smart hospital sensor framework) and Clara Holoscan (the real-time edge AI platform for medical devices). At COMPUTEX Taipei, NVIDIA showcased major collaborations between its Clara framework and leading Taiwanese tech conglomerates to address severe medical labor shortages: [1, 2, 4]

  • Foxconn: Partnering with Taichung Veterans General Hospital (TCVGH), Foxconn is using the NVIDIA Clara ecosystem and NVIDIA Omniverse to build high-fidelity digital twins of entire hospital corridors, patient wards, and nursing stations. They utilize these digital environments to train "Nurabot," an AI nursing collaborative robot that autonomously navigates physical halls to deliver critical medical supplies. [1]
  • ASUS & Advantech: These global industrial PC giants are embedding Clara Holoscan libraries directly into custom medical computers and surgical monitors. These systems allow AI algorithms to instantly analyze real-time video feeds during endoscopic surgeries, pointing out polyps or tumors to surgeons as they operate. [1]
  1. South Korea: AI Digital Twins & On-Device Memory

The Korean Clara partnership network focuses heavily on advanced 3D anatomy virtualization and integrating high-bandwidth memory into healthcare appliances. [1]

  • MEDICAL IP: Officially integrated into NVIDIA’s core AI ecosystem, this company focuses on AI-driven medical digital twins. By pairing Clara imaging tools with NVIDIA Omniverse, MEDICAL IP transforms standard 2D CT and MRI scans into interactive, physics-accurate 3D anatomical models. This allows surgeons to walk through a patient's simulated organs before performing high-risk operations. [1, 2]
  • Samsung Medison: Samsung’s medical device division uses NVIDIA hardware and Clara's ultrasound SDKs to run real-time fetal monitoring and diagnostic imaging workflows directly on their high-end ultrasound machines. [1]
  1. Japan: Precision Medical Instruments & Robotic Care

Japan's engagement with Clara dates back to its initial launch at GTC Japan in Tokyo, focusing heavily on embedded computing modules for precise medical instruments. [1]

  • Canon Medical Systems & Fujifilm: These diagnostic imaging leaders utilize MONAI (the open-source, domain-specific medical imaging framework that forms the core of NVIDIA Clara). They run Clara on internal computing blocks to drastically accelerate processing speeds for CT scans, MRIs, and X-rays, reducing raw computing time while denoising low-radiation scans. [1, 2, 3]
  • Panasonic & Sony: Rather than developing isolated software apps, Japanese conglomerates embed Clara Guardian modules directly into high-fidelity image sensors. These systems track vital signs, detect patient falls, and measure heart rates simply by observing subtle facial pixel shifts via smart video analytics. [1, 3, 4]
  1. Southeast Asia: Multimodal Healthcare Platforms
  • VinBrain (Vietnam): A major regional pioneer of Clara deployments, VinBrain has scaled its medical imaging AI models to over 100 hospitals across Vietnam. Using NVIDIA’s Clara infrastructure alongside TensorRT optimization, they process multi-spectral healthcare data to accelerate medical imaging analysis by more than 3x and automated video analytics by 30x. [1]

The Big Picture Integration

[ NVIDIA CLARA SOFTWARE SUITE ]

 (BioNeMo, MONAI, Holoscan, Guardian)

                │

                ├───────────────────────────┼───────────────────────────┐

                ▼                           ▼                           ▼

       [ TAIWANESE HARDWARE ]       [ KOREAN DIGITAL TWINS ]     [ JAPANESE INSTRUMENTS ]

  • Foxconn Nurabot • MEDICAL IP Anatomy         • Canon Medical Imaging
  • ASUS AI Endoscopy • Samsung Medison            • Fujifilm MONAI Fusions

East Asia plays a crucial role in bringing NVIDIA’s Clara platform into hospitals. NVIDIA provides the software building blocks for clinical intelligence, and its East Asian supply chain turns that software into real physical machines—ranging from nursing bots in Taiwan to diagnostic scanners in Japan and surgical digital twins in South Korea. [1, 2, 3, 4]

If you want to dive deeper into a specific area, let me know if you would like to look into how Foxconn trains its Nurabot inside the Omniverse hospital digital twin, or examine how MEDICAL IP converts 2D scans into 3D environments

, Mechanical Engineering Ph.D. Student , University of Cincinnati
, Co-Founder, Rhions Lab
, Founder/Co-Founder, PyData Tunisia
, Africa Data School
, TFUG Casablanca

MORE INCEPTION/nVIDIA CLUB ai STARTUPS

Darlington Akogo

   2nd degree connection2nd INCEPTION-TALKS
Founder, CEO, minoHealth AI, karaAgro AI | AI4Radiology Chair, United Nations ITU & WHO Focus Group on AI For Health
  • minoHealth AI Labs
Ghana  Contact info
alibaba fortune change world nominrr for ai canacer detection https://www.alizila.com/alibabas-ai-powered-cancer-detection-tool-r...

Reply to Discussion

RSS

ENTREPRENEURIAL REVOLUTION NETWORK BENCHMARKS 2025now : Remembering Norman Macrae

Chartering 5 Layer AI Agency - integrating exponential intergenerational multipliers of trusted human relationship systems through community scaling apps

AsiaAI.docx where & how 2/3 human brains are celebrating AI livelihoods

====

lelated US AI reports:

AI commission 2021

AI Action PLan July2025

Shaping AI Billion

chris.macrae@yahoo.co.uk :help celebrate library of INTELLIGENCE multipliers: -system map

  • Action Apps
  • Millions of  AI Agents 1  2  3
  • Software sovereign infrastructure 
  • Chips1 & Supercomputers
  • Energy: Genesis
  • Fusion SCSP-FI -F2
  • Quantum
  • Critical Minerals: Pax
  • Space
  • Edu-media rev li>Nature
  • workforce 1
    cvchrismacrae.docx
  • Data Science
  • Geonomics 1

views on whether AGI exists

- how close are google aws or huawei to nvidia

2025REPORT-ER: Entrepreneurial Revolution est 1976; Neumann Intelligence Unit at The Economist since 1951. Norman Macrae's & friends 75 year mediation of engineers of computing & autonomous machines  has reached overtime: Big Brother vs Little Sister !?

Overtime help ed weekly quizzes on Gemini of Musk & Top 10 AI brains until us election nov 2028

MUSKAI.docx

unaiwho.docx version 6/6/22 hunt for 100 helping guterres most with UN2.0

RSVP chris.macrae@yahoo.co.uk

EconomistDiary.com 

Prep for UNSUMMITFUTURE.com

JOIN SEARCH FOR UNDER 30s MOST MASSIVE COLLABS FOR HUMAN SUSTAINABILITY

1 Jensen Huang 2 Demis Hassabis 3 Dei-Fei Li 4 King Charles

5 Bezos Earth (10 bn) 6 Bloomberg JohnsHopkins  cbestAI.docx 7 Banga

8 Maurice Chang 9 Mr & Mrs Jerry Yang 10 Mr & Mrs Joseph Tsai 11 Musk

12 Fazle Abed 13 Ms & Mr Steve Jobs 14 Melinda Gates 15 BJ King 16 Benioff

17 Naomi Osaka 18 Jap Emperor Family 19 Akio Morita 20 Mayor Koike

The Economist 1982 why not Silicon AI Valley Everywhere 21 Founder Sequoia 22 Mr/Mrs Anne Doerr 23 Condi Rice

23 MS & Mr Filo 24 Horvitz 25 Michael Littman NSF 26 Romano Prodi 27 Andrew Ng 29 Lila Ibrahim 28 Daphne Koller

30 Mayo Son 31 Li Ka Shing 32 Lee Kuan Yew 33 Lisa Su  34 ARM 36 Priscilla Chan

38 Agnelli Family 35 Ms Tan & Mr Joe White

37 Yann Lecun 39 Dutch Royal family 40 Romano Prodi

41 Kramer  42 Tirole  43 Rachel Glennerster 44 Tata 45 Manmohan Singh 46 Nilekani 47 James Grant 48 JimKim, 49 Guterres

50 attenborough 51 Gandhi 52 Freud 53 St Theresa 54 Montessori  55 Sunita Gandhu,56 paulo freire 57 Marshall Mcluhan58 Andrew Sreer 59 Lauren Sanchez,  60 David Zapolski

61 Harris 62 Chips Act Raimundo 63 oiv Newsom. 64 Arati Prab hakarm,65 Jennifer Doudna CrispR, 66 Oren Etsioni,67 Robert Reisch,68 Jim Srreyer  69 Sheika Moza

- 3/21/22 HAPPY 50th Birthday TO WORLD'S MOST SUSTAINABLE ECONOMY- ASIAN WOMEN SUPERVILLAGE

Since gaining my MA statistics Cambridge DAMTP 1973 (Corpus Christi College) my special sibject has been community building networks- these are the 6 most exciting collaboration opportunities my life has been privileged to map - the first two evolved as grassroots person to person networks before 1996 in tropical Asian places where village women had no access to electricity grids nor phones- then came mobile and solar entrepreneurial revolutions!! 

COLLAB platforms of livesmatter communities to mediate public and private -poorest village mothers empowering end of poverty    5.1 5.2 5.3 5.4 5.5  5.6


4 livelihood edu for all 

4.1  4.2  4.3  4.4  4.5 4.6


3 last mile health services  3.1 3,2  3.3  3.4   3.5   3.6


last mile nutrition  2.1   2.2   2.3   2.4  2.5  2,6


banking for all workers  1.1  1.2  1.3   1.4   1.5   1.6


NEWS FROM LIBRARY NORMAN MACRAE -latest publication 2021 translation into japanese biography of von neumann:

Below: neat German catalogue (about half of dad's signed works) but expensive  -interesting to see how Germans selected the parts  they like over time: eg omitted 1962 Consider Japan The Economist 

feel free to ask if free versions are available 

The coming entrepreneurial revolution : a survey Macrae, Norman - In: The economist 261 (1976), pp. 41-65 cited 105 

Macrae, Norman - In: IPA review / Institute of PublicAffairs 25 (1971) 3, pp. 67-72  
 Macrae, Norman - The Economist 257 (1975), pp. 1-44 
6 The future of international business Macrae, Norman - In: Transnational corporations and world order : readings …, (pp. 373-385). 1979 >
Future U.S. growth and leadership assessed from abroad Macrae, Norman - In: Prospects for growth : changing expectations for the future, (pp. 127-140). 1977 Check Google Scholar | 
9Entrepreneurial Revolution - next capitalism: in hi-tech left=right=center; The Economist 1976
Macrae, Norman -In: European community (1978), pp. 3-6
  Macrae, Norman - In: Kapitalismus heute, (pp. 191-204). 1974
23a 

. we scots are less than 4/1000 of the worlds and 3/4 are Diaspora - immigrants in others countries. Since 2008 I have been celebrating Bangladesh Women Empowerment solutions wth NY graduates. Now I want to host love each others events in new york starting this week with hong kong-contact me if we can celebrate anoither countries winm-wins with new yorkers

mapping OTHER ECONOMIES:

50 SMALLEST ISLAND NATIONS

TWO Macroeconomies FROM SIXTH OF PEOPLE WHO ARE WHITE & war-prone

ADemocratic

Russian

=============

From 60%+ people =Asian Supercity (60TH YEAR OF ECONOMIST REPORTING - SEE CONSIDER JAPAN1962)

Far South - eg African, Latin Am, Australasia

Earth's other economies : Arctic, Antarctic, Dessert, Rainforest

===========

In addition to how the 5 primary sdgs1-5 are gravitated we see 6 transformation factors as most critical to sustainability of 2020-2025-2030

Xfactors to 2030 Xclimate XAI Xinfra Xyouth Wwomen Xpoor chris.macrae@yahoo.co.uk (scot currently  in washington DC)- in 1984 i co-authored 2025 report with dad norman.

Asia Rising Surveys

Entrepreneurial Revolution -would endgame of one 40-year generations of applying Industrial Revolution 3,4 lead to sustainability of extinction

1972's Next 40 Years ;1976's Coming Entrepreneurial Revolution; 12 week leaders debate 1982's We're All Intrapreneurial Now

The Economist had been founded   in 1843" marking one of 6 exponential timeframes "Future Histores"

IN ASSOCIATION WITH ADAMSMITH.app :

we offer worldwide mapping view points from

1 2 now to 2025-30

and these viewpoints:

40 years ago -early 1980s when we first framed 2025 report;

from 1960s when 100 times more tech per decade was due to compound industrial revolutions 3,4 

1945 birth of UN

1843 when the economist was founded

1760s - adam smithian 2 views : last of pre-engineering era; first 16 years of engineering ra including america's declaration of independence- in essence this meant that to 1914 continental scaling of engineeriing would be separate new world <.old world

conomistwomen.com

IF we 8 billion earthlings of the 2020s are to celebrate collaboration escapes from extinction, the knowhow of the billion asian poorest women networks will be invaluable -

in mathematically connected ways so will the stories of diaspora scots and the greatest mathematicians ever home schooled -central european jewish teens who emigrated eg Neumann , Einstein ... to USA 2nd quarter of the 20th century; it is on such diversity that entrepreneurial revolution diaries have been shaped 

EconomistPOOR.com : Dad was born in the USSR in 1923 - his dad served in British Embassies. Dad's curiosity enjoyed the opposite of a standard examined education. From 11+ Norman observed results of domination of humans by mad white men - Stalin from being in British Embassy in Moscow to 1936; Hitler in Embassy of last Adriatic port used by Jews to escape Hitler. Then dad spent his last days as a teen in allied bomber command navigating airplanes stationed at modernday Myanmar. Surviving thanks to the Americas dad was in Keynes last class where he was taught that only a handful of system designers control what futures are possible. EconomistScotland.com AbedMooc.com

To help mediate such, question every world eventwith optimistic rationalism, my father's 2000 articles at The Economist interpret all sorts of future spins. After his 15th year he was permitted one signed survey a year. In the mid 1950s he had met John Von Neumann whom he become biographer to , and was the only journalist at Messina's's birth of EU. == If you only have time for one download this one page tour of COLLABorations composed by Fazle Abed and networked by billion poorest village women offers clues to sustainability from the ground up like no white ruler has ever felt or morally audited. by London Scot James Wilson. Could Queen Victoria change empire fro slavemaking to commonwealth? Some say Victoria liked the challenge James set her, others that she gave him a poison pill assignment. Thus James arrived in Calcutta 1860 with the Queens permission to charter a bank by and for Indian people. Within 9 months he died of diarrhea. 75 years later Calcutta was where the Young Fazle Abed grew up - his family accounted for some of the biggest traders. Only to be partitioned back at age 11 to his family's home region in the far north east of what had been British Raj India but was now to be ruled by Pakistan for 25 years. Age 18 Abed made the trek to Glasgow University to study naval engineering.

new york

1943 marked centenary autobio of The Economist and my teenage dad Norman prepping to be navigator allied bomber command Burma Campaign -thanks to US dad survived, finished in last class of Keynes. before starting 5 decades at The Economist; after 15 years he was allowed to sign one survey a year starting in 1962 with the scoop that Japan (Korea S, Taiwan soon hk singapore) had found development mp0de;s for all Asian to rise. Rural Keynes could end village poverty & starvation; supercity win-win trades could celebrate Neumanns gift of 100 times more tech per decade (see macrae bio of von neumann)

Since 1960 the legacy of von neumann means ever decade multiplies 100 times more micro-technology- an unprecedented time for better or worse of all earthdwellers; 2025 timelined and mapped innovation exponentials - education, health, go green etc - (opportunities threats) to celebrating sustainability generation by 2025; dad parted from earth 2010; since then 2 journals by adam smith scholars out of Glasgow where engines began in 1760- Social Business; New Economics have invited academic worlds and young graduates to question where the human race is going - after 30 business trips to wealthier parts of Asia, through 2010s I have mainly sherpa's young journalist to Bangladesh - we are filing 50 years of cases on women empowerment at these web sites AbedMOOC.com FazleAbed.com EconomistPoor.com EconomistUN.com WorldRecordjobs.com Economistwomen.com Economistyouth.com EconomistDiary.com UNsummitfuture.com - in my view how a billion asian women linked together to end extreme poverty across continental asia is the greatest and happiest miracle anyone can take notes on - please note the rest of this column does not reflect my current maps of how or where the younger half of the world need to linkin to be the first sdg generation......its more like an old scrap book

 how do humans design futures?-in the 2020s decade of the sdgs – this question has never had more urgency. to be or not to be/ – ref to lessons of deming or keynes, or glasgow university alumni smith and 200 years of hi-trust economics mapmaking later fazle abed - we now know how-a man made system is defined by one goal uniting generations- a system multiplies connected peoples work and demands either accelerating progress to its goal or collapsing - sir fazle abed died dec 2020 - so who are his most active scholars climate adaptability where cop26 november will be a great chance to renuite with 260 years of adam smith and james watts purposes t end poverty-specifically we interpret sdg 1 as meaning next girl or boy born has fair chance at free happy an productive life as we seek to make any community a child is born into a thriving space to grow up between discover of new worlds in 1500 and 1945 systems got worse and worse on the goal eg processes like slavery emerged- and ultimately the world was designed around a handful of big empires and often only the most powerful men in those empires. 4 amazing human-tech systems were invented to start massive use by 1960 borlaug agriculture and related solutions every poorest village (2/3people still had no access to electricity) could action learn person to person- deming engineering whose goal was zero defects by helping workers humanize machines- this could even allowed thousands of small suppliers to be best at one part in machines assembled from all those parts) – although americans invented these solution asia most needed them and joyfully became world class at them- up to 2 billion people were helped to end poverty through sharing this knowhow- unlike consuming up things actionable knowhow multiplies value in use when it links through every community that needs it the other two technologies space and media and satellite telecoms, and digital analytic power looked promising- by 1965 alumni of moore promised to multiply 100 fold efficiency of these core tech each decade to 2030- that would be a trillion tmes moore than was needed to land on the moon in 1960s. you might think this tech could improve race to end poverty- and initially it did but by 1990 it was designed around the long term goal of making 10 men richer than 40% poorest- these men also got involved in complex vested interests so that the vast majority of politicians in brussels and dc backed the big get bigger - often they used fake media to hide what they were doing to climate and other stuff that a world trebling in population size d\ - we the 3 generations children parents grandparents have until 2030 to design new system orbits gravitated around goal 1 and navigating the un's other 17 goals do you want to help/ 8 cities we spend most time helping students exchange sustainability solutions 2018-2019 BR0 Beijing Hangzhou: 

Girls world maps begin at B01 good news reporting with fazleabed.com  valuetrue.com and womenuni.com

.==========

online library of norman macrae--

==========

MA1 AliBaba TaoBao

Ma 2 Ali Financial

Ma10.1 DT and ODPS

health catalogue; energy catalogue

Keynes: 2025now - jobs Creating Gen

.

how poorest women in world build

A01 BRAC health system,

A02 BRAC education system,

A03 BRAC banking system

K01 Twin Health System - Haiti& Boston

Past events EconomistDiary.com

include 15th annual spring collaboration cafe new york - 2022 was withsister city hong kong designers of metaverse for beeings.app

© 2026   Created by chris macrae.   Powered by

Report an Issue  |  Terms of Service