AI for Science
@AI_for_Science
AI for Science workshop series (next @NeurIPS 2025)
Talvez você curta
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
We have received a large number of amazing submissions! Due to the high demand, we have also decided to push back the deadline by 2 more days!
Two more days to submit to one of the largest AI for Science workshops at NeurIPS and join the party! You need to submit an abstract (create a submission) by August 22nd but you **can still update** the submission by August 25th. This is for both regular and dataset proposal!
Two more days to submit to one of the largest AI for Science workshops at NeurIPS and join the party! You need to submit an abstract (create a submission) by August 22nd but you **can still update** the submission by August 25th. This is for both regular and dataset proposal!
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”
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 !
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!
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Talvez você curta
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Ziming Liu
@ZimingLiu11 -
Mila - Institut québécois d'IA
@Mila_Quebec -
Isomorphic Labs
@IsomorphicLabs -
Hannes Stärk
@HannesStaerk -
Learning on Graphs Conference 2025
@LogConference -
Machine learning for protein engineering seminar
@ml4proteins -
Yuanqi Du
@YuanqiD -
Minkai Xu
@MinkaiX -
Frank Noe
@FrankNoeBerlin -
Günter Klambauer
@gklambauer -
Chaitanya K. Joshi
@chaitjo -
Michael Bronstein
@mmbronstein -
Johannes Brandstetter
@jo_brandstetter -
Gabriele Corso
@GabriCorso -
Cristian Bodnar
@crisbodnar
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