PolymathicAI

6/ Paper: openreview.net/forum?id=hsfHz… Blog: polymathic-ai.org/blog/nmr-agent

5/ Spotlight presentation tomorrow Saturday 11th at the AI4Science workshop #ICML2026 Info: 🎙️Spotlight talk: 10:20 AM, Hall C 📌 Poster: 4:00–5:00 PM, Hall C Come say hi!

1/ NMR is one of the most important tools for figuring out molecular structure that's used across chemistry, biology, materials science, and drug development. Collecting the data is routine, interpreting it can take days, sometimes years 😮 We built an AI agent for this 🧵

Interested in building the next generation of AI for fluid dynamics? We're looking for a Research Scientist / Postdoctoral Researcher at Polymathic AI in New York to develop foundation models for computational fluid dynamics. Interest form: forms.gle/7n4mrJyEJjmb4W…

Want to apply principled Bayesian methods to Large scientific foundation models? Join @PolymathicAI and @EmtiyazKhan at Adaptive Bayesian Intelligence to explore the boundaries of SOTA large models for scientific data and Bayesian Principles in Tokyo 🗻 , Germany 🍺 and NYC 🍎! post-doc: apply.interfolio.com/184211 research-scientist: apply.interfolio.com/184213

Happy to announce the partnership between @relativityspace and @PolymathicAI to explore Mars!! 🤩 Come work with real rocket scientists, astrophysicists and AI experts to explore Mars ❣️ Links: job-boards.greenhouse.io/relativity/job… job-boards.greenhouse.io/relativity/job…

Shout-out to the team @irina_espejo @damon_hinz @HaewonJeong00 @cosmo_shirley and to our generous funders and institutions @schmidtsciences @NYUDataScience @FlatironInst @SimonsFdn (7/7)

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! (6/7)

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: #discussion" target="_blank" rel="nofollow noopener">openreview.net/forum?id=hsfHz… Thread 🧵 (1/7)

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

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.

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🧵

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! 🚀