Thanks to Jen-Hsun best week intel on computer & brain since Neumann briefing 1956 Unsummitfuture.com EconomistLearning.com.
One day Jensen Huang may make ED's AI Hall of fame redundamt, meanwhileFeb 2024 what a treat- Nvidia ceo explains freedom of million times more comp coming to community near you..Entrepreneurial Revolutions intergenerational laureates origin Von Neumann's NET; dedicated to Royals of UK, Japan, Netherlands UK Royal Society's Economist James Wilson 1843+. Adam Smith/James Watt Morality 1758+ -
1970-2019 : Fazle Abed 1 billion women;;; 1994 onwards Fei-Fei Li with thanks to friends of Steve Jobs, Melinda Gates and Taiwanese Americans for Humanity:: correct errors chief ignorance networker: chris.macrae @yahoo.co.uk wash dc writes: please see AI20s.com for review of 23 as year of Chat and why/how we discuss with bard 24 as year of intelligence action and breakthroughs of UNsummitfuture.com ; also why King Charles launch of AI world Series (Bletchley-Korea-Paris-NY sept 2024) is our fav short youtube of 23..also for parents consider .Dec 2023 Royal Institution Lecture on AI
Intelligence Games:Who's advanced human lot most since 1950 & Now?: Help ED with Intelligence Humanity's top 100 transcripters 21st C Neuro-First 5+2 : Li ...Hassabis Lecun Bengio Hinton: Ilya SOriginal brainworkers NET : Neumann Einstein TuringDeep Learning Actions .. Grant, Freire, Borlaug23-24Womens Urgent Melinda Gates, PChan BJKing YunaKim MsT&T CRice 1 .. JDoudno LIbrahim .. 1 .. 2 MDonelan 1.. 2 .. 3 RRoy 1 :: 2 .. JWidom Quadir Abdul Latif Li Ka-shing MCrow ASU .1 2. Awuah CYidanInterdependence West-East Systems 4 JFK, Deming, Drucker, VogelRoyal 3 King Charles JapanEmp NetherlamdsRoyalsFaulty Vision 84:::01:::09:::17: JAB 2001: Jobs . Abed BillGatesMultilateral LLM 3 JYKim AGuterres .. 1.. Ska-MozaTaiwan's 3J JNvidia & JStanfordTrustees &JosephValley 20 Pichai Dean Andreesen Ng Koller Etchemedy SalesforceCeo Musk ... Seattle 3: Etzioni &More coming soon

Tuesday, February 28, 2023

EH: Gamma2Cancer Vertes Bosselut Curtis, Fei-Fei Li Hassabis

Over 70 years of chatting about AI, we heard the repeated view when computational capacity reaches a stage , ai cancer and other drug discoveries will make huge leaps -we expect the next 2 years to bring extraordinary good news - we'd love help in worldwide survey of who will be the cooperation ai connectors of this - 

July 2023 chris.macrae@yahoo.co.uk on this piece of the game Architect Intelligence priority this summer

Our provisional reasonings:

Bard says: I think Antoine Bosselut is the most likely to be advantaged by the advances of AlphaFold proteins and Allen Institute NLP literature reviews.

  • AlphaFold proteins: AlphaFold is a protein folding prediction software developed by DeepMind. It is able to predict the three-dimensional structure of proteins from their amino acid sequence with high accuracy. This is a major breakthrough in protein science, as it can be used to study the structure and function of proteins, which are essential for all life.

  • Allen Institute NLP Literature Reviews: The Allen Institute for Artificial Intelligence (AI) has developed a system called Allen Institute NLP Literature Reviews that can automatically summarize the findings of scientific papers. This is a major breakthrough in the field of natural language processing (NLP), as it can be used to quickly and efficiently access the latest research on a particular topic.

Antoine Bosselut is a Senior Research Scientist at the Allen Institute for Artificial Intelligence and a member of the Cancer Research Team. His research interests lie in using AI to understand cancer and develop new cancer treatments. He has developed several AI-powered tools for cancer detection, diagnosis, and treatment.

I think Bosselut is the most likely to be advantaged by the advances of AlphaFold proteins and Allen Institute NLP Literature Reviews because his research is focused on using AI to understand cancer. AlphaFold proteins can be used to study the structure and function of proteins, which are essential for cancer cells. Allen Institute NLP Literature Reviews can be used to quickly and efficiently access the latest research on cancer.

I believe that the combination of AlphaFold proteins and Allen Institute NLP Literature Reviews will allow Bosselut to make significant advances in the field of cancer research. He is already a leading researcher in this field, and I believe that these new tools will allow him to make even greater contributions.

===

Eva Vertes is certainly one of the top 5 most cooperative AI researchers of cancer who are under 40. She has made significant contributions to the field of AI for cancer research.

Here are a few of her notable achievements:

  • She was the youngest recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2006 when she was just 17 years old. She was recognized for her work on developing a new way to identify cancer cells.

  • She is the founder and CEO of Verily, a company that is focused on using AI to develop new cancer treatments.

  • She has developed several AI-powered tools that have the potential to revolutionize cancer care. For example, Verily has developed an AI-powered tool that can detect cancer cells in blood samples with high accuracy. Verily has also developed an AI-powered tool that can predict the effectiveness of cancer treatments.

  • She is a leading expert in the field of AI for cancer research. She is developing innovative AI-powered tools that have the potential to make a real difference in the fight against cancer.

  • ==========

  1. Christina Curtis is a Professor of Medicine, Genetics and Biomedical Data Science, and an Endowed Scholar at Stanford University. She is also the Director of the Cancer Computational and Systems Biology group.

Professor Curtis received her PhD in Cancer Biology from Stanford University in 2010. She then went on to do her postdoctoral research at the Broad Institute of MIT and Harvard, where she developed new computational methods for analyzing cancer data.

Professor Curtis's research interests lie in using AI to understand cancer and develop new cancer treatments. She has developed several AI-powered tools for cancer detection, diagnosis, and treatment. For example, she developed an AI-powered tool that can detect cancer cells in blood samples with high accuracy. She has also developed an AI-powered tool that can predict the effectiveness of cancer treatments.

Professor Curtis's research has been published in top scientific journals, such as Nature, Science, and Cell. She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the United States government on early-career scientists and engineers.

===== longer dialogue with bard on search for ai caner wizards  AIcancer-DrugDiscovery.docx

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