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.
.
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

Monday, December 31, 2012

good to see entrepreneurial revolution live and well among valley women

 https://hai.stanford.edu/events/crispr-ai-and-ethics-scientific-discovery


Twin revolutions at the start of the 21st century are shaking up the very idea of what it means to be human. Computer vision and image recognition are at the heart of the AI revolution. And CRISPR is a powerful new technique for genetic editing that allows humans to intervene in evolution.

Jennifer Doudna and Fei-Fei Li, pioneering scientists in the fields of gene editing and artificial intelligence, respectively, will be on stage discussing the ethics of scientific discovery.

Doudna, a professor of chemistry and molecular and cell biology at U.C. Berkeley, rocked the research world in 2012 when she and her colleagues announced the invention of CRISPR-Cas9, a technology that uses an RNA-guided protein found in bacteria to edit an organism's DNA quickly and inexpensively. Li is a professor of computer science at Stanford and co-director of the university's Institute for Human-Centered Artificial Intelligence (HAI). She served as director of Stanford’s AI Lab from 2013 to 2018, and during her sabbatical, she was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. Li joined Stanford's faculty in 2009, and her main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She invented ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI.

Moderating the discussion will be Russ Altman, the Kenneth Fong Professor of Bioengineering, Genetics, Medicine, Biomedical Data Science and (by courtesy) Computer Science at Stanford. He is the past chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing and informatics technologies to problems relevant to medicine. He hosts the Stanford Engineering program The Future of Everything.

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