IN SEARCH OF INTELLIGENCE unites families advancing next generation's life on earth. December 2024, Wash DC, chris.macrae@yahoo.co.uk ; linkedin UNwomens::: 2025Reporter Club
Over 60% of people depend on pacific trades. Because of Western era of Empire, Pacific people's growth exponentials have depended on what von neumann called designing development rpind above zero-sum trading maps through 3 waves of "millions times more tech brainpower : Moore's engineers of linking in silicon chip valley 95-65; Satellite Data worlkdwiode 5G to 1G (2015-1990), Partners of Jensen Huang's Deep Data Computing & Learning ets Stanford Engineeriing Quadrangle 2010
That's our open syatem foundations observation. scaling over 75 years since John Von Neumann asked Economist journalists to mediate futures of brainworking through 3 million fold hi-tech waves :Moore's Silicon Valley,*Satellites 1G to 5G Death of Distance mobilising data round earth* Jensens platforms for DEEP LEARNING Data Science aligned to Einstein's 1905 nano-science-Earth revolution. NB Miraculous Transformations In tha last 5 quarters of human endeavor, may we commend projects emerging from 6 summits linkedin by Taiwanese-Americans gravitated by Jensen Huang (Nvidia) and 4 summits living up to King Charles wishes for humanity : Nov 2023 London Turing latest Deep Minds,, May 2024 Korea, Summer 2024 semi-private Japan State Visit to London (Charles 60th Anglo-Japan reunion as 1964 delegate to Tokyo Olympics), December 2024 India's Wadwani AI in DC (with next round of King Charles Series - Macron Paris Feb 2025).. Jensen's health AI meta-collab: Hong Kong Digital Twin 2020s supercity health centres :Tokyo Update Maso Son & Japan Royal LLM everywhere; India's sata socereignty od world largest population with Ambani & Modi; NVidia in DC with eg LOgkhttf Martin ; Taiwan RWins galore eg Fioxconnn extension to foundry for autonomous as well as mobile world; San Jose March 2-24 tenth annual upfate of most joyful parternship tech world has ever generated Over the past year, key international organizations, like the G7, OECD, and Global Partnership on Artificial Intelligence (GPAI), have shaped the global AI governance conversation and focused on foundational principles, critical risks, and responsible AI development. Looking ahead to 2025, how are G7 countries and corporations planning to implement AI governance frameworks and address challenges, such as the growing energy demand for AI technologies? Join the Wadhwani AI Center for the International AI Policy: Outlook for 2025 conference. This full-day event will be held at CSIS headquarters on December 9, 2024, from 9:00 AM to 6:00 PM ET and will convene leading policymakers, industry experts, and thought leaders to explore the latest international efforts in AI governance. Featuring keynote speeches from distinguished figures, including Ambassador Shigeo Yamada of Japan to the United States, Ambassador Laurent Bili of France to the United States, and Sara Cohen, Deputy Head of Mission at the Embassy of Canada, this conference will highlight key international perspectives in AI governance.

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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