2024 Learning & Livelihoods best year ever
Intelligence 8 Happiest Summits: 8/8 King Charles series Paris Feb 2025; 7/8 Tokyo JensesS Nov 2024; 6/8 Mumbai JensenS Oct 2024; 5/8 DC Jensen S Octpber; 4/8 Taiwan Jensen S June; 3/8 Korea KingCharlesS May; 2/8 Santa Clara JensenS Mar; 1/8 Blethcley King Charles Series Nov 2023 (Exec Order Oct).
ED:-2025report welcome year75 Q&A: how does intelligence engineering of Von Neumann (Einstein, Turing) change Keynesian economics of human deve?lopment (see also The Economist 1950-1990) 2024 Special thanks to friends in Taiwan & Bangladesh..About X**8billion-bis-Fall24 risks: Russian Roulette; SOS: Yunus Urgent Friends of Bangladesh WE (Women Empower) : Antonio Guterres, head UN; .. Poverty Museums- from co-blog to co-pilot ; 50000fans
breaking OCt2025:India to be lead Intelligence Economy
Giant Leaps with Nvidia Q4, 2024: Summits: DC, Japan, India
Progress since 2021 (8) ai electricty gridsAI & Drug Discovery- COVID.
#@X.
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USA East Intel calendar July Axios Sustainability; : Aug 29 Hopkins AI Health Sept 24 Nist:USgov ..$$Sept 26 Hopkins::MediaEco.

;RAC, St James, London 2008 :X:www.yunuscentre.org There are 2 kinds of Economist. Those who in their youth saw poverty or nations where wars halted people's freedom to work, learn, do, commune and those who graduated in economics with none of these experiences. https://www.journalofsocialbusiness.com/editorial-board.html https://www.youtube.com/@microeconomist/videos www.normanmacrae.net www.economistdiary.com Intelligence Year 75 of Digital Twin Survey with Von Neumann www.2025report.com www.unsummitfuture.com

90 day plan 1 -can Wash DC be turned into a pro-youth capital : 9 Aug, 555 Penn Avenue - what every DC journalist should know about AI
Plan 2 can worldwide youth and teachers support king charles english llm
Year15 YUNUS FAN CLUB -45K
ABEDmooc.com
IN SEARCH OF INTELLIGENCE, LOVE & ALL THAT MATTERS MOST TO GENERATING FAMILIES JOYFUL COMMUNITY & MOTHER NATURE
lINKS 1 2 Thanks to Jen-Hsun best decade AI collection- 8000 cases improving peoples communal computation, data & brains - 2025rEPORT.COM year 75 of Neumann & Economist briefings- : 4 JULY 2024 last 80 days of UNsummitfuture.com ECONOMISTDIARY.COM
chris.macrae@yahoo.co.uk

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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