Jensen's biggest investment in life scxiences ai beyond nvidia may be recursion; within nvidia ai of biotech sometimes called Clara; in valey Daphne Koler lonmg recognised as stamford biotech ace also co-founder corsera/mooc; at berkeley jennifer doudna nmobel prize for Crispr gene databank; demih hasabis deep mind leader deepming alphafold3 generated 250 million protein databank (London/Cambbriege/Google Moutain View)
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
#@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 AIPlan 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 |
Sunday, December 28, 2003
nvidia some health cases
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As the pace of AI-enabled drug discovery accelerates, you’ll hear firsthand how companies like Recursion and NVIDIA are pushing the boundaries of research to deliver some of the most exciting and impactful solutions for humanity.
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It's a long and costly process with a low success rate, but it can be drastically accelerated and the associated cost mitigated by ‘in silico’ molecular simulations, provided that these are accurate and fast enough.
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We'll explain how the workflow brings together a spectrum of in-silico drug discovery methods: protein structure prediction, binding pocket identification, molecule generation, virtual screening, and ML-powered molecular docking.
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