AI for Science

AI for Science will be returning to @NeurIPSConf 2025! We aim to bring together scientists and AI researchers to discuss the reach and limits of AI for Scientific Discovery 🚀 📖 Workshop submission deadline: Aug 22 💡 Dataset proposal competition: more details coming soon

Happy New Year! We’re excited to share a new blog post summarizing interesting discussions and trends about #AI4Science in 2024! medium.com/@AI_for_Scienc…

So happy to see a lot of AI4Science initiatives these days! Check out @AI_for_Science and @GRaM_org_!!

We are excited to have our last speaker today Prof. Gabor Csanyi on “Foundation models for materials chemistry”

Welcome our 2nd afternoon speaker @yian_yin on his explorations on “Quantification of Impact on AI”

Our first afternoon talk! Welcome @sachavanalbada to present “A learning rule for large-scale spiking NN: Eligibility propagation with enhanced biological features”

We start our afternoon sessions. Welcome our moderators and panelists !

It’s our great pleasure to welcome @maxjaderberg to share his insights for AlphaFold3!

Please come and join us to welcome @megjanestanley presenting Aurora: Foundation model for Atmosphere! Thanks for the nice photo @AI4scienceTalks

We welcome our 2nd speaker @zdeborova on Uncertainty quantification in Neural Networks: Theoretical Investigation into what (does not) works!

Happening now! Our first talk by @KevinKaichuang on Understanding Transfer Learning for Protein engineering!