The Polymathic AI Collaboration. Shared account.
Joined September 2023
- Tweets 67
- Following 69
- Followers 3,701
- Likes 43
15 Photos and videos
Jun 11
Are chemists done & is NMR solved? Not so fast! 🤔
Outperforming software is not the goal, to be truly useful, AI needs to operate like a human chemist under real lab conditions.
✨Check our #ICML2026 AI4Science Spotlight!
🔗OpenReview: openreview.net/forum?id=hsfH…
Thread 🧵
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Jun 5
New Anthropic Science Blog: Making Claude a chemist.
To manipulate a molecule, chemists first need to understand its structure. Their main tool is NMR spectroscopy.
We found Opus 4.7 matches—and on some tasks beats—dedicated NMR software. Read more: anthropic.com/research/makin…
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Jun 11
There’s still a long way to go! The pipeline for small organic molecules can be improved and we will perform more evals, but that it's just scratching the surface…
If you work on NMR spectroscopy, let’s work together🙂
Stay tuned for the camera-ready version!
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Jun 11
Shout-out to the team @irina_espejo @damon_hinz @HaewonJeong00 @cosmo_shirley and to our generous funders and institutions @schmidtsciences @NYUDataScience @FlatironInst @SimonsFdn
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Interested in building the next generation of foundation models for science?
Join Polymathic in New York (NYU Flatiron) for a postdoc.
Topics include generalization/transfer, and solar physics.
Gen-transfer: apply.interfolio.com/185111
Solar-physics: apply.interfolio.com/185110
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PolymathicAI retweeted
Apr 29
1/12 Introducing MIMIC: a SOTA foundation model trained natively across DNA, RNA and proteins. MIMIC is multimodal and generative: it can use structure, regulation, evolution, and experimental context to infer missing biology or design new sequences.
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physical systems (orbits/fluid mechanics) may look complex, but are often governed by simple equations/few parameters. can current self-supervised methods learn the underlying physics?
our new paper finds that learning in latent space may be the key!
arxiv.org/abs/2603.13227🧵
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PolymathicAI retweeted
Apr 15
Join @PolymathicAI and @EmtiyazKhan and me to explore the world of frontier AI for science using new Bayesian techniques!
We are looking for both postdoctoral fellows and research scientists! 🚀
Apr 12
If you want to work with our group while living in New-York and also spend time in Tokyo and Germany!, check out the new positions available at the NYU and Flatiron Institute by @cosmo_shirley
post-doc: apply.interfolio.com/184211
research-scientist: apply.interfolio.com/184213
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PolymathicAI retweeted
Feb 2
Getting ready to speak at the @worldmodel_26 at Mila alongside @ylecun, @Yoshua_Bengio and @sherryyangML :)
Excited to see you online or in person! 🤪
9 Sep 2025
🚨Announcing the World Modeling Workshop 2026 🚨
📅 When: Feb 4–6, 2026
📍Where: Mila (Montréal) Online (free)
💡 What: Keynotes, Methods Deep Dive, and Tutorials
🌐 world-model-mila.github.io/
✉️ worldmodel.mila@gmail.com
🧵 Details below:
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PolymathicAI retweeted
16 Dec 2025
We built a semantic search engine for millions of galaxy images by having LLMs write the captions.
These images are completely unlabeled, but our method enables astronomers to search for rare phenomena via text. Try our app! 🔭👇
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4 Dec 2025
Come see our poster or hear our talk about the largest multi-model for astrophysics 💫at @NeurIPSConf
Poster:
Friday Dec 5 11am-2pm (PT), Exhibit Hall CDE #2200
Talk: AI4Science Workshop: Sunday Dec 7 Upper Level Ballroom 20A !
18 Nov 2025
I’m excited to announce that @PolymathicAI new astrophysics model, AION-1, has been accepted to #neurips2025 ! 🎉
Come see our poster on Dec 5 (Friday) at 1-4pm PT, poster session 5
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hear our talk from @liamhparker and Francois Lanusse at #AI4Science workshop
It’s the first large-scale multimodal foundation model for astronomy!
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PolymathicAI retweeted
18 Nov 2025
I’m excited to announce that @PolymathicAI new astrophysics model, AION-1, has been accepted to #neurips2025 ! 🎉
Come see our poster on Dec 5 (Friday) at 1-4pm PT, poster session 5
OR
hear our talk from @liamhparker and Francois Lanusse at #AI4Science workshop
It’s the first large-scale multimodal foundation model for astronomy!
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PolymathicAI retweeted
3 Dec 2025
Latent diffusion Models are all the rage right now. But how far can we push it ?
What happens if we use a very^3 small latent space? 🧐
Come find out at our @NeurIPSConf paper led by @FrancoisRozet Tomorrow (Thursday) in San Diego at 4:30-7:30pm at the Exhibit Hall CDE poster #2311 !
3 Sep 2025
Does a smaller latent space lead to worse generation in latent diffusion models? Not necessarily! We show that LDMs are extremely robust to a wide range of compression rates (10-1000x) in the context of physics emulation.
We got lost in latent space. Join us 👇
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PolymathicAI retweeted
3 Dec 2025
Most real-life systems are only partially observed, whether it is our Earth, the sun, or the air flow in our house! So, how do we predict these dynamical systems if nothing is perfectly observed?
Come join @PolymathicAI tomorrow (Thursday) at 4:30-7:30 PST at Exhibit Hall CDE #2213 at @NeurIPSConf at our poster on how to predict partially observed dynamical systems!
-> A Multiscale Inference Scheme Diffusion! 🚀
Led by @rdMorel and @FrankPRCP !!
25 Nov 2025
Partial observability is a key challenge in predicting physical systems, where only part of the state is observed.
Check out our poster #2213 at #neurips2025 on Thu, Dec 4, 4:30pm! We propose a multiscale inference scheme for diffusion models to better predict these systems.
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PolymathicAI retweeted
25 Nov 2025
Partial observability is a key challenge in predicting physical systems, where only part of the state is observed.
Check out our poster #2213 at #neurips2025 on Thu, Dec 4, 4:30pm! We propose a multiscale inference scheme for diffusion models to better predict these systems.
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PolymathicAI retweeted
20 Nov 2025
So proud to see the culmination of effort led by @mikemccabe210 @PayelMukhopadh3 @__tm__157 @BrunoRegaldo @FrancoisRozet along with the amazing team at @PolymathicAI to produce
The first "Polymathic"/cross-disciplinary AI model for fluid dynamics!
We started with creating The Well, the first internet scale of fluids dataset co-led by @mikemccabe210 and @oharub with the goal of creating the first cross-disciplinary fluid model!
Now it is here, and we are lovingly naming it the Polymathic Walrus 😁!
20 Nov 2025
1/ Today with my colleagues @PolymathicAI, I'm excited to release our latest project, Walrus, a cross-domain foundation model for physical dynamics, into the world.
polymathic-ai.org/blog/walru…
Paper: arxiv.org/abs/2511.15684
Git: github.com/PolymathicAI/walr…
HF: huggingface.co/polymathic-ai…
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5 Nov 2025
RT @cosmo_shirley: Extremely proud and honored to be named among the great minds of Schmidt Sciences AI2050 Senior fellows!
A special sh…
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