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

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

No comments:

Post a Comment