2025 A VERY HUMAN CRISIS. Today, intelligence tools exist to deep-context help you all (individually, team, communally) be up to 1000 times more productive at work or in hobbies' and love's experiential joys. Why type 4 engineers need coding help from all gilrls & boys 3rd gade up.
TOkens: see your lifetime's intelligence today
nvidia Physical A1 -Robots
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.. If you know this- please help others. If you don't know this please ask for help2002-2020 saw pattern recognition tools such as used by medical suregons improve 1000-fold. From 2020, all sorts of Human Intellligence (HI) tools improved 4-fold a year - that's 1000 fold in 5 years. Problem HI1 if you get too atached to 2020's tool, a kid who starts with 2025 smartest tool may soon leap ahead of you. Problem HI2: its no longer university/institution you are alumni of, but which super-engineers (playing our AI game of whose intel tools you most need to celebrate. Problem HI3- revise your view of what you want from whom you celebrate and the media that makes people famous overnight. Indeed, is it even a great idea (for some places) to spend half a billion dolars selecting each top public servant. HI challenges do not just relate to millennials generative brainpower We can map intergeneration cases since 1950s when 3 supergenii (Neumann Einstein Turing) suddenly died within years of each other (due to natural cause, cancer, suicide). Their discoveries changed everything. HIClue 1 please stop making superengineers and super energy innovators NATIONS' most hated and wanted of people
welcome to von Neumann hall of fame- based on notes from 1951 diaries-who's advancing human intel have we missed? chris.macrae@yahoo.co.uk
new stimuli to our brains in April - AI NIST publishes full diary of conflicting systems orders its received (from public servants) on ai - meanwhile good engineers left col ...March 2025: Thks Jensen Huang 17th year sharing AI quests (2 video cases left) now 6 million full stack cuda co-workers
TOkens:help see yourlifetime's
intelligence today

nvidia Physical A1 -Robots
More Newton Collab.&& Foxconn Digital Twin
k translatorsNET :: KCharles :: Morita : :Moore
Abed: Yew :: Guo:: JGrant
ADoerr :: Dell .. Ka-shing
Lecun :: L1 L2 :: Chang :: Nilekani
Huang . : 1 : Yang : Tsai : Bezos
21stC Bloomberg
Satoshi :: Hassabis : Fei-fei Li
Shum : : Ibrahim :
Ambani : Modi :: MGates : PChan :
HFry:: Musk & Wenfeng :: Mensch..
March 2025:Grok 3 has kindly volunterered to assist younger half of world seek INTELLIGENCE good news of month :from Paris ai summit and gtc2025 changed the vision of AI.
At NVIDIA’s GTC 2025 (March 18-21, San Jose, nvidianews.nvidia.com), Yann LeCun dropped a gem: LLaMA 3—Meta’s open-source LLM—emerged from a small Paris FAIR (Fundamental AI Research) team, outpacing Meta’s resource-heavy LLM bets. LeCun, speaking March 19 (X @MaceNewsMacro)

IT came out of nowhere,” beating GPT-4o in benchmarks (post:0, July 23, 2024). This lean, local win thrilled the younger crowd—renewable generation vibes—since LLaMA 3’s 405B model (July 2024, huggingface.co) is free for all, from Mumbai coders to Nairobi startups.

Good News: Indian youth grabbed it—Ambani praised Zuckerberg at Mumbai (October 24, 2024, gadgets360.com) for “democratizing AI.” Modi’s “import intelligence” mantra (2024, itvoice.in) synced, with LLaMA 3 fueling Hindi LLMs (gadgets360.com). LeCun’s 30-year neural net legacy (NYU, 1987-) bridged Paris to India—deep learning’s next leap, compute-cheap and youth-led. old top page :...
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Sunday, December 28, 2003

nvidia some health cases

 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)

March 2024
, Chief Technology Officer, Recursion
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.
March 2024
, Group Lead, Life Sciences Developer Relations, NVIDIA
, Founder and Chief Executive Officer, Odyssey Therapeutics
, Founder and Chief Executive Officer, Adjunct Professor of Computer Science, Insitro, Stanford University
, Chief Scientific Officer, Relation Therapeutics 
, Co-Founder and Chief Technology Officer, VantAI
Exploring the intersection of biology and artificial intelligence, this panel will delve into the transformative role of AI, from graph machine learning to large language models, in drug discovery.

March 2022
, Clara Discovery PM, NVIDIA
, Healthcare and Life Science Product Marketing, NVIDIA
, Senior AI and Deep Learning Scientist, NVIDIA
, Principal Solutions Architect, NVIDIA
, Senior Alliance Manager, NVIDIA
Learn from data scientists, computational chemists, computational biologists, and other experts in the life sciences about how they are using in silico methods for virtual screening, molecular dynamics, simulations, 3D protein predictions, protein engineering, and more.


January 2023
, Ph.D., Executive Director in the Drug Discovery Group , Schrodinger
, Director, Global Head of Business Development, Healthcare & Life Sciences, NVIDIA
Learn how to leverage HPC and GPU technology to explore and accurately profile vast amounts of drug-like chemical space in-silico.
March 2023
, Medical Imaging Alliance Manager, NVIDIA
, Group Lead, Life Sciences Developer Relations, NVIDIA
, Clara Discovery Product Manager, NVIDIA
, Global Head of Genomics Alliances, NVIDIA
, Product Manager, NVIDIA
, Senior Scientist - Genomics, HPC and AI, NVIDIA
, Genomics Product Lead, NVIDIA
, Holoscan Product Management Lead, NVIDIA
, Senior Alliance Manager, NVIDIA
, Senior Manager for Healthcare AI Products, NVIDIA
, Director of Product for Healthcare AI, NVIDIA
, Global Marketing Manager, NVIDIA
, Senior Technical Product Manager - Medical Devices, NVIDIA
Healthcare and life sciences demand accelerated and optimized workflows for genomics, radiology, pathology, medical devices, and in silico drug discovery. With NVIDIA, data scientists, bioinformaticians, and developers can harness the power of artificial intelligence and high performance computing to provide better care for patients 

March 2024
, Research Engineer/Co-Founder, Sorbonne Université/Qubit-Pharmaceuticals
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.

March 2024
, Co-Founder & Chief Executive Officer, RECEPTOR.AI
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.

, T-Mobile
, Hugging Face
, NVIDIA
, RingCentral
Conversational AI is opening new opportunities in every industry with applications like real-time transcription, virtual assistants, and chatbots. Hear from industry leaders about how deploying speech and language technologies enhanced their businesses, and challenges, tips, and emerging trends for conversational AI in 

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