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: https://t.co/Pup1MoJtjP
Solar-physics: https://t.co/yAUh3Obta2
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!
https://t.co/cvMKzx9qrQ🧵
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! 🚀
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! 🔭👇
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 !
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!
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!
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 !
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 !!
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.
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 😁!
PolymathicAI is recruiting two postdoctoral researchers to join our team at Cambridge, to work on building and understanding large-scale foundation models for science. Please share with potential candidates!
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 👇
Want to predict the future of our own star?
The Sun!
Build with us at @PolymathicAI!
New postdoctoral fellowship position in AI X Solar Physics! 🌞
Deadline to apply: Feb 15, 2025
https://t.co/o5PGeUvgsP
You saw our AstroCLIP, and have heard of MultiModal Universe!
Now, come build and scale Foundation models for Astrophysics with us at @PolymathicAI!
Check this out: https://t.co/lcOYwX4mnX
Deadline: Feb 14, 2025!