Joined November 2009
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94 Photos and videos
Max Welling retweeted
May 29
New episode of The Information Bottleneck is out 🥳🥳🥳 with Max Welling (@wellingmax )
Max is a legend and a personal hero of mine, so this one meant a lot.
We got into which scientific problems ML can actually touch right now vs what's still too early, what the loop looks like when simulators, wet labs, and real experiments all feed back into each other, where the field is way too optimistic about generalization, and how you handle uncertainty when being wrong costs you a month in the lab. Also the academia → CuspAI shift and what it changed for him.
One of my favorite conversations we've done.
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There's more to our interview with @cusp_ai co-founder @wellingmax. Check out the full episode with AoT hosts Autria Godfrey, @stephenjhorn, and @Laila_Rizvi: youtu.be/QWjzHJHh_fw
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May 21
Beautiful work (and illustration) on super fast weather prediction by @maxxxzdn
May 20
🌍Today we release Mosaic, a probabilistic weather model that shifts the Pareto frontier of ML weather forecasting.
It matches the skill of state-of-the-art models while generating a 24-member, 10-day global forecast in under 12 s on a single H100.
Thread!
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May 21
Today @cusp_ai and @KemiraGroup announce a milestone in AI-driven materials discovery.
We have used generative AI to design new materials targeting PFAS removal from drinking and process water at trace concentrations.
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May 21
The candidates are now advancing to further development and testing.
I am proud of the @cusp_ai team and excited by what this says about the future of materials discovery!
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Will AI Superintelligence Solve All the Problems in Materials Science?
Not according to AI pioneer and @cusp_ai co-founder @wellingmax. He tells hosts Autria Godfrey, @stephenjhorn, and @Laila_Rizvi that he thinks human intuition and knowledge will remain very useful in creating new materials using AI.
What do you think? Are you skeptical about what artificial superintelligence will mean for science? Tell us in the comments.
Watch this short excerpt now, then check out the entire episode via the link in the first comment.
#MaterialsScience #AISuperintelligence #AGI #FutureofAI #AIvsHuman
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May 15
We put the paper online that provides further details (beyond my ICLR keynote) on the role of spontaneous symmetry breaking and Goldstone modes in deep learning. Enjoy! (w/ Nabil Iqbal, Thomas Andy Keller, Takeru Miyato and Yue Song.) arxiv.org/abs/2605.14685
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Apr 29
Introducing new materials into industrial processes can be a revolution for customers across industries. In the semiconductor space for example, a new, gamechanging material is introduced about once in a generation...
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Apr 29
He shares my belief that AI can help significantly reduce these learning cycles.
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Apr 29
Watch the whole interview with Martin, a valued member of the @cusp_ai advisory board, on YouTube now: youtube.com/watch?v=iPKlc7Fe…
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Apr 25
Our book on Generative AI and Stochastic Thermodynamics can be pre-ordered with a 20% discount until July 31 2027. (All proceeds from the authors will be donated to the African Institute for Mathematical Sciences).
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Apr 24
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