Thanks to Jen-Hsun best decade AI collection- 7000 cases improving peoples communal computation, data & brains - year 74 of Neumann & Economist briefings- : last 100 days of AI we LOVE OR FEAR
Fear Media Fake AI Love AIearth2 AI & Green Ag AIDoubt General AI exists

 AHealthI - all 3 of most massive engineering connectors love health ai ( Jensen Huang, Demis Hassabis, Fei-Fei Li); biggest leap yet is billion man years work which Hassabis AI 250 million proteins database Alphafold2 Jewel in Crown of King Charles AI summit Cambridge/London/Mountain View _ some in silico links Hassabis-UK - Isomorrhic Labs; Huang Recursion/Siemens Healthineers; genentech; Valley AI women Daphne Koller & Priscilla Chan CZI, .. Melinda Gates, Nobel Jennifer Doudna - more at & 1

Monday, December 31, 2012

good to see entrepreneurial revolution live and well among valley women

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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