Help welcomed ongoing intelligence Case Search - source Nvidia top 100 partners in 21st C accelerated computing - alphabet olf engineering inteligence - AI, BioI, Trillion$CoroprateI, DiscoveryI, EnergyI, FinananceI, GovI, HealthI, Icubed : 1) your real 1; 2 your digital 1; 3 your brain body and communal wellbeing support from agentic ai

Thursday, July 25, 2024

 Overarching question making 2020s most exciting time to be alive: what happens when the most innovative interview ever conducted happens weekly? ED (EconomistDiary.com) 

CAN YOU IMAGINE LOOKING AFTER FASTEST COMPUTER IN WORLD

QUINTRILLION OPS PER SECOND; 7500 CIVIL SERVANT CODERS copilot links to 16 other fast computers in different states - every intelligence project that might be needed for democracy to breathe - who'd you interview below to find out? Game on - email chris.macrae@yahoo.uk -linkedin UNwomens -with one name from this map- we'll send you evidence of when subject partnered Valley or before 1993 probably inspired King Charles and so today's friends of the Kings English LLM and commonwealth mapping,







This legacy question of Neumann-Einstein-Turing was first debated in The Economist of 1950s when we beings had a lot of time to pretrain for computers capable of a quintrillion operations per second (see NAIRR Pilot). in 2001, a worldwide womens sdg movement brought this question to the Valley and fortunately it got planted in Stanford as intelligent education's most vital question. By now there isn't a discipline at Stanford which isnt taking this HAI question on with gusto. IT seems that different localities (deep communities) in usa (are free to) like or dislike this question. So your organisation needs to tap into localities that like it perhaps through customer/societal panels with such localities. How you use zooms or facilitate eg www.openspaceworld.com matters if your organisation depends on partners. Leaders will also need to support data streams that live at the edge of how trustworthy AI links you all. Somehow tools like chatgpt may either help or hinder depending what they were modelled on versus your deepest common sense. Note how AI is designed into your pc or mobile needs a lot more interviews now.

Saturday, July 20, 2024

Jensen Huang intelligences' Top 100 Youtube & Partnerships

 with big 5 digital

with big data ssuppliers snowflake servicepluus databricks   salesforce-dreamforce:benioff

with consultacies - training 30000 at accenture (julie sweet) 24/oct AIrefinery (compaby's agency both llm, omniverse) 

with arts nova and 

with startups

with regions -frabnce mistral ai

with mobile

\with pc\]with desktop

clara

in silico - recursion with gibson

energy, with suoercomputers

earth2.0 weather alersb , data soverignty

cuda world calkss university

pixar usd

industry sectprsLatest with HPE https://www.youtube.com/watch?v=YcX3ldnBcpU

Annual updates from 2015  -15 theme deep learning from yann lecin to breakthroughs 2010s - featured Jensen Huang Elon Musk Andrew Ng John Dean Andrej Karpathy 16 -4summits US with Sreve Woziak, Demis Hassabis, Bryan Catanzaro,  Europe India Japan

60 more from nvidia events

other latest; 2018 AI & Music

2025-1993 -third of century transformed human possibilities

Explore Key Topics

Generative AI

Remote Sensing

Find out why remote sensing is so important and how it's advancing capabilities in Earth observation, financial markets, disaster response, climate monitoring, and more.

Cybersecurity

Cybersecurity

Deep dive into how AI is transforming cybersecurity, including generative AI with NVIDIA NIM™ microservices.

Robotics and Edge ComputinG powered by generative physical AI

Robotics and Edge Computing

Discover powerful, end-to-end solutions for the development, simulation, and deployment of robots powered by generative physical AI.

 Industrial Digitalization

Industrial Digitalization

Learn how digital twins, Universal Scene Description (OpenUSD), and generative physical AI are accelerating industrial digitalization.

AI Policy

AI Policy

Hear from policy makers and industry leaders on topics including accelerated computing,  promoting global access to AI, cybersecurity, and more.

Healthcare

Healthcare

Explore what's shaping the future of healthcare and driving innovative solutions to empower AI-driven enterprise ecosystems.

Sustainable Computing

Sustainable Computing

Learn why accelerated computing is sustainable computing, and how AI enhances energy efficiency and reduces carbon emissions across industries.

 Isometric illustration with radio network connected to multiple use cases at the edge.

Telecommunications

Discover how telecom companies are using AI to transform customer experiences and network operations. This includes building sovereign AI factories, co-locating 5G and AI applications on RAN infrastructure, and advancing 6G R&D.

Quantum Computing

Quantum Computing

Connect with quantum computing experts and explore the latest use cases and integrations with supercomputing and AI.

 profile picture

Is this a correct statement?; in 1993 Jensen Huang started Nvidia to design computers for uses that were all but impossible with the 20th C CPU (Central Processing Unit computer) ,which analyses data in one dimensional sequence. Today almost every innovation use of computers depends on the accelerated computing platform that Nvidia has pioneered; 

GEMINI

That's a very accurate statement.

Jensen Huang's founding of NVIDIA in 1993 marked a pivotal moment in the evolution of computing. The limitations of traditional CPUs, which processed data sequentially, became increasingly apparent as the complexity of tasks grew.

NVIDIA's pioneering work in developing GPUs, initially for graphics rendering, led to the creation of a platform capable of parallel processing, significantly accelerating computations. This breakthrough has been instrumental in powering advancements in fields such as artificial intelligence, scientific computing, data science, and more.

Essentially, NVIDIA's accelerated computing platform has become the foundation for many of the technological innovations we see today, making your statement highly accurate.

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

nb also linear computing is most costly on energy the deeper the data; see this week axios ai sustainability on eg how america's largest computers in the world aim to be most efficient ever on compute

Jensen & Partner Type
Recursion is probable Ncidia's maun direct investment in biotech/in silico


Jensen & his partnerships with his place of birth taiwan also main builder of chips supply chain - see huang's core relationship wuth maurice huang over 25 years