TPC25 Maps the Road to Science-Ready AI https://www.byteseu.com/1245645/ #AIForScience #AIInHPC #DataQuality #HPC #Science #TPC25 #TrillionParameterConsortium
TPC25 Maps the Road to Science-Ready AI https://www.byteseu.com/1245645/ #AIForScience #AIInHPC #DataQuality #HPC #Science #TPC25 #TrillionParameterConsortium
AI for science, drug discovery to have ‘greatest impact’, says Nvidia’s Huang https://www.byteseu.com/1204271/ #AI #AIForScience #Alibaba #AlibabaCloud #AlphaFold #Beijing #biology #ByteDance #China #ChinaInternationalSupplyChainExpo #DamoAcademy #DrugDiscovery #JensenHuang #Science #WangJian
AlphaGenome: New Google AI Predicts Effects of Genetic Mutations
#AI #Google #DeepMind #AlphaGenome #Genomics #Biotech #Science #AIforScience #Genetics #Biology #MedicalResearch #DNA
https://www.europesays.com/2106006/ Code Conversion, Reasoning, Visualization and Other LLMs for Science at Argonne – High-Performance Computing News Analysis #AI #AIForScience #ArgonneNationalLaboratory #ArtificialIntelligence #CodeConversion #Data #GenAI #GenrativeAI #HPCAI #LLMs #LLMsForScience #reasoning #Visualization
Meta & Berkeley Lab Debut Giant OMol25 Chemistry AI Dataset
#AI #MetaAI #AIforScience #OpenScience #FAIR #OMol25 #UMA #Science #MachineLearning #ComputationalChemistry #AIScience #TechForGood
https://winbuzzer.com/2025/05/15/meta-berkeley-lab-debut-giant-omol25-chemistry-ai-dataset-xcxwbn/
Could AI reshape the future of biology?
Charlotte Bunne and Stephen Quake join Eric Topol to discuss the AI Virtual Cell—a project that could shift biology from 90% experimental to 90% computational.
This shift could accelerate discoveries, reduce lab costs, and revolutionize drug discovery, diagnostics, and personalized medicine.
Listen to the full conversation: https://erictopol.substack.com/p/the-holy-grail-of-biology
Delivered ad talk at @thenasem in Washington DC, shedding light on the intertwining of AI/DS with scientific discovery. Talked about challenges and opportunities. As AI/DS continues to shape science, our adaptability and ingenuity are key! #AIForScience #DataDrivenDiscovery
Aloha!
Next week I'll be in Hawai'i at the #ICML2023 conference!
If you want to meet up drop me a line here, or come to our posters:
- Tue on "Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting" with experiments on pedestrian motion forecasting.
(Poster Ses 1, Tue 11am, Hall 1, #110)
https://icml.cc/virtual/2023/poster/25036?show_abstract=true
- Fri at the SynS&ML Workshop.
My talk is about our https://www.chemgymrl.com simulator for #AIforScience using Reinforcement Learning for Material Design