Probable First 10 priorities of 25X energy efficient supercomputers
India Billion peoples basic ai health system & universal finance id
Agentic AI transformation womens education 9 to 15
Startup open ai ecosystem bridging hundreds of first mile agri and arts/garments etc startups with nations top 10 industries (Elon)
UK-Valley Alphafold biotech segment leaps include tropical diseases as well as worldwide cancer data
Translation of all mother tongues to everyone codes ai via top 2 language llms and decolonial ai geonomic maps
Doudna Deepest continent scaled maths problems starting with energy and health transmission
First follower humanoid digital twins- eg community safety jobs nobody wants
Open profession AI startups
Colossus space ai including drone & cable ai
Chat+inference+physical ai everywhere self driving cars' "road of things AI"
Taiwan AI Digital twin ai factories etc- from Asia to West
Earth 2.0 & all deep global data others dont want to first
HUmanoids on streets ai
Japan AI 5 asian supercity benchmark 5 or more western capitals including green model for half of countries with next to no critical minerals
Transgeneration Mapping (beyond multilateral relocation of education for millennial generation- eg united mayors ai)
HK and diaspora chinese: Digital twin university health colleges
Neuroscience etc Mapping start up ecosystem bridging cultures of 10 + regional nations and superport value chains
nft and womens metagames ai - eg beingai.org
UAE Water ai and Parallel geo-ai system but for middle east primarily desert superports and 360 degree trade maps sustainability
France - nuclear datacentre ai micro open ai and top 10 eu continent industries>
Sports AI owned by youth- end bad media and bring eg swiss into open euro models
Open history- culture ai
25 years of knowledge city ai uniting nordia elearning & human capital- livelihoods new to millennils
PLus one
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.
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
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.
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.
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
NVIDIA Founder & CEO, Jensen Huang, sits down with Recursion Co-founder & CEO, Chris Gibson for a Fireside Chat at ...
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
In an interview yesterday with a biomedical AI company invested by NVIDIA, Jensen Huang talked about artificial intelligence and ...
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10 chapters
Intro | Lessons From Silicon Chip Industry | Did It Feel Inevitable | Healthcare | Supercomputer | The Simple Idea | Skepticism | Natural State Of Every Company | Confidence Insecurity | Volunteering
