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Democracy now says tens of thousands may have died venezuela - lets hope not but lets hope us government and all us media gives this top priority - chris economistdiary.com
76th year of AI Jobs-Rich rankings1=US-W &JKTHS2=Saudi-UAE & Switzerland3=China4=UK&Nordica&Canada5=India6=Germany7=France8=MVT9=EU10=Rest USEinstein Test (Deep Mind) life science breakthroughsjob creating ai ~ Layer 5 -apps scaling community needs-data*L4 ai models*L2 full stack ai -machine maths brainpower*L1 energyrobotics and supercitiesspace and quantum mathsweb3 al
AI Games vote for top 100 helping human generation (not in any order) : ... Hassabis: 1 .. 2: Huang Family 1: ,Dario Gill, : Tsai Family, Chandrika Tandon, Fei-Fei Li, Ng, Lila Ibrahim :: Daly :: Mccelland:: Lecun, Maurice Chang ,Foxconn ceo, Tata family, Ambani Family, Linus Cheung, Richard Li, Li Ka Shing, Pony Ma, Yang family, Larry Page, Condi Rice, Terwilliger , Fairbank...... King Charles and Queen Elizabeth;; Japan Emperor Family:: Attenborough. Paul Nurse, Tim Berners Lee, Reshma Saujani, Linux Torvalds, Katalin Kariko, BJ King, Amy Goodman, Erica Angyal, Yosuke Nagai. Koike, Bloomberg:: Modi:: Macron ..,,,. Sheika Moza :: Queen Rania .. President of Finland :: PM of Canada:: Schwab 1,2 ..Rokos family,, Susan Athey Elliott Fishman,Catmull, Doerr Famliy, Drew Endy : Quadir family ::Lila Ibrahim ,, Reeta Roy.. Abdul Latif Jameel family, Hernando De Sato, S Gandhi, Jeanne Lim .....::Musk ::Bezos Masa Son ::: Liang Wenfeng, Ren Zhengfei, -- deceased Satoshi, Steve Jobs, Lee Kuan Yew, KT Li, Neumann , Einstein, Turing, Boehrs, Lawrence, Oppenheimer, Rutherford, Crick & Watson, Fazle Abed, Polak, Harrison Owen, James Grant, Borlaug, Deming, Jessie Jackson, Mandela, Akio Morita, Thurgood Marshall, Paulo Freire, Maria Montessori, M Gandhi... .more to come votes welcome chris.macrae@yahoo.co.uk
AI is the greatest leap engineers have contributed multiplying previous leaps:1760s+ what industrial revolution can do with thousands of horsepower? 1865+ what can telecoms and electricity unite around earth? 1956 how will lifetime work of Neumann Einstein Turing exponentially advance what human brains alone cannot -to understand this 3 million fold tech waves need mapping : chips, computers, satellites linking data and open ai modes to apps communities need to scale urgent solutions. In 1951. The Economist's editor Geoffrey Crowther decided 108 years of mediating economists was pointless without integrating engineering leaps. Just in time he required his journalist team to understand the lifetime innovation challenges of Neumann-Einstein-Turing. Unexpectedly all three were dead by 1957 (two due to cancer and suicide way before full succession of their AI foundation models spiraled locally and globally
EW ... Thanks Taiwan --June 1.
Linkedin

 Economistdiary.com 5 layer ai breaking news - 17 US tech genii with trum in china: deals Boeing .🛡️ Semiconductor & AI Breakthroughs 🚗 Autonomous & Emerging Tech Financial Tech & Market Access - 17 included Blackstone Blackrock Nvidia Apple XAI ... Between 2025-30 world's infrastructure remade -can full stack of 5 layer AI map APPs your community and youth's edu most needs to produce? Update 2026 of 2025report first publishedf 1983 Bonus refhttp://neumann.ning compare 1951=56 last 5 years of NET (Neumann-Einstein-Turing's) exponential legacy of chips, computers, satellites

20000 DC brains thank SCSP AI+Expo
OUR BELIEF emerged 75 years ago from diaries of Von Neumann and dad Norman Macrae Economist sub-editor. May 7-9 wash Dc sees next chance for 24000 people to determine what AI they want. Engineers need to design AI so that parents everywhere can celebrate kids being smarter than they are. We first storytold that vision in 1984's 2025 Report- to achieve it engineers would need to transform affordability and quaiity of education, health, and joyful homes-communities. Today 5 layer AI can offers a good enough roadmap : layer 5 AI: apps scaling community actions*layer 4 - the AI models; *3 places sovereign data aiand leadership; *times 2 designing machines with billion times more mathematical brains and deep data worthy of such *1 energy and resources need to feed the hungriest machines ever built
Between 1948 & 1990 The Economist went from 3rd ranked British weekly to first(Last) global viewspaper. Which stories helped?<
Taiwan:: USW,::USE ::WholePlanet:: India : France :: UK ::Japan : Switzerland, Canada, Nordicam: Middle East "" Africa "" Latin South:: Italy :: Singapore :: HK ::Korea :: Germany :: China ... Which country's people do you want AI to support with livelihoods and data mappingAre you interested in Intel Agents Uniting Youth Brains & S-H-E-Lf-F- W-E-P-O-L-I**4-C-YPP or Space, Energy, Robots,Einstein-Science Leaps, Ending Rottem Media

J100
How AI goals vary : By nation : US-special projects, India, Saudi=UAE, UK
By genius:
Jensen Huang, Demis Hassabis, Elon Musk
.75 years in a day of Economist Q&A since 1951 with Neumann , Einstein, Turing
40 YEARS MEDIA CHARTERING
London Celebrating AI & Quantum & 6G & Energy --- thanks to lead mapmakers Jensen & Demis & Charles3 .. EJ : : Japan+63 ... MEIM : Millennials Energy Intelligence Mapping
Old home page. -please use web version of our timeless blogs
www.economistdiary.vom Is English Language Modelling intelligent enough to sustain our human species? Great are 1990s Valley startups eg nvidia, musk's and googles exponentially linking much of whats humanly possible with machines engineered billion times mo(o)re maths brainpower than individuall human minds. But 1943 UK future shocks to.o. Geoffrey Crowther Economist Ed started debate keynes: were engineers deeper than economists in locking in futures next gens connect?. 1943 also saw dad norma cambridge studies interrupted serving last days as teen navigator allied bomber command burma. Surviving joyfully hired 1948 by Crowther to mediate engineers like Neumann Einstein Turing & Economist purpose. 3 generations apart, unfortunately Neumann-Einstein-Turing all left earth by early 1957: last coding notes Neumann's Computer and the Brain. Economist IQuiz disliked by EU but what to do with billion times more machine brainpower celebrated by Kennedy, & the royal families of UK & Japan. Whence not surprising greatest UK AI startups deep mind & arm influenced by royal societies & Cambridge business park ( crown property) & crick/watson open sources of dna, & cavendish lab 1920s influencing Taiwan's tech grandfather. see part 2 2025report 40 years in inteligence war between bad media and good education agents
Market's futures : Cars Humanoids Cities Energy Water Countries with good data sovereignty projects rsvp chris.macrae@yahoo.co.uk UK Japan Taiwan India France Saudi UAE Korea S Singapore HK US 1 2

Tuesday, December 29, 2009

ai4all HAI AIndex Sail

 AI4all




Snce arriving in stanford 2009, fei-fei li has participated in a lot of schools - can you tell me which ai or tech labs she has either co-founded or been asked to play a leading inspiration in Here are some of the AI or tech labs that Fei-Fei Li has co-founded or been asked to play a leading role in since arriving at Stanford in 2009:

  • Stanford Vision and Learning Lab (SVLL): Li co-founded the SVLL in 2009, and she has served as its director since then. The SVLL is one of the leading research labs in the field of computer vision, and it has made significant contributions to the development of deep learning and other AI technologies.
  • Stanford Human-Centered Artificial Intelligence (HAI): Li is a co-founder of the HAI, which is a research initiative that is focused on the ethical and responsible development of AI. The HAI is working to ensure that AI is used for good, and it is developing tools and resources to help people understand and use AI safely and responsibly.
  • AI4ALL : Li is a co-founder of AI4ALL, which is a non-profit organization that is dedicated to increasing diversity in the field of AI. AI4ALL provides resources and support to students from underrepresented groups who are interested in pursuing careers in AI.
  • Deep Learning for Social Good : Li is a co-founder of Deep Learning for Social Good, which is a community of researchers and practitioners who are using deep learning to solve social problems. Deep Learning for Social Good is working to make deep learning more accessible to people who are working on social impact projects, and it is providing resources and support to help people use deep learning to make a positive impact on the world.

Li is also a member of the board of directors of several AI-related organizations, including the Allen Institute for Artificial Intelligence, the Electronic Frontier Foundation, and the Partnership on AI. She is also a frequent speaker at AI conferences and events, and she is a strong advocate for the responsible development of AI.

Li's work has had a significant impact on the field of AI. She is one of the most respected researchers in the field, and she is a leading advocate for the responsible development of AI.

what about sail itself (stanford ai lab)

Sure, I can tell you about SAIL (Stanford AI Lab).

SAIL (Stanford AI Lab) is a research institute at Stanford University that was founded in 1963 by Professor John McCarthy. SAIL is one of the oldest and most prestigious AI labs in the world, and it has made significant contributions to the field of AI.

SAIL's research interests include:

  • Artificial intelligence
  • Computer vision
  • Natural language processing
  • Robotics
  • Machine learning
  • Computational biology
  • Computational social science

SAIL has a strong track record of producing world-class research. Its faculty and students have won numerous awards, including the Turing Award, the Nobel Prize, and the MacArthur Fellowship.

SAIL is also committed to training the next generation of AI researchers. It offers a variety of educational programs, including undergraduate and graduate courses, as well as research internships.

SAIL is a leading center for AI research and education. It is home to some of the world's leading AI researchers, and it is training the next generation of AI researchers.

Fei-Fei Li is a member of SAIL's faculty, and she is the director of the Stanford Vision and Learning Lab, which is a research lab within SAIL. Li is a leading researcher in the field of computer vision, and she has made significant contributions to the development of deep learning.

SAIL is a great resource for AI researchers and students. It offers a vibrant research environment, and it is committed to training the next generation of AI researchers. If you are interested in AI research, I encourage you to learn more about SAIL.

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