PolymathicAI
@PolymathicAI
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The Polymathic AI Collaboration. Shared account.
Joined September 2023
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
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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
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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
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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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
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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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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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
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. https://t.co/ihv1MZGQM3 Paper: https://t.co/d6ah9LO4ud Git: https://t.co/s3p8qGhZQR HF: https://t.co/RufaBD9eJk
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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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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!
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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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The final days of summer are upon us, and it is bittersweet to say goodbye to our great group of @PolymathicAI interns! 😭 @JacopoTeneggi @cskokgibbs @astro_nolan @CristianaD2202 @LouisSerrano31 @rachelczhang Here are a few pics to remind us all the fun we had! (and hold your
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Polymathic AI is proud of our advisor @hardmaru for being selected for the @TIME 100 AI list ! Congratulations @hardmaru and @SakanaAILabs !
TIME誌が選ぶ「TIME 100 AI」に、Sakana AIのCEOを選出いただきました。ご期待に感謝するとともに、日本でフロンティアAI企業を構築するというビジョンに向け、今後も邁進してまいります。 https://t.co/oNM9yjlKuM Sakana AIの目指す姿は、先日のイベントでCEOが語りました。併せてご覧ください。
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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
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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!
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Very proud of what we accomplished with @PolymathicAI + MultiModal Universe Collaboration! 👉100 TBs of Astronomical data ⭐️🌟💫 👉From > 10 telescopes, over 20 modalities 👉All ML training ready This will be presented today (Wed) at 4:30pm-7:30pm (PST) at West Ballroom A-D
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RT @cosmo_shirley: 🔥 @PolymathicAI presents the coolest (IMO) and most diverse fluid dynamics dataset at #NeurIPS2024 ! Date: tomorrow (T…
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🔥@PolymathicAI team will present Multiple Physics Pretraining (MPP) tomorrow from 11am to 2pm (PST) at East Exhibit Hall A-C #4100 🔥 at #NeurIPS2024! Learn how to pre-train on various incompressible fluids simulations and make the AI model predict what will happen to nearly
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Come check out the @FlatironInst booth #523 at #SC24 ! 🔥 Our own @rdMorel will give a talk on Wednesday at 2:45-3pm!
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CDS is hiring a Research Software Engineer for the Polymathic AI initiative! Develop foundation models for science, train large AI models, curate datasets. B.S.+ in ML/CS, 3+ yrs research SWE exp required. Reports to @cosmo_shirley Apply by 10/30: https://t.co/hyAn90YweG
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Our internship program at Polymathic is open for opportunities from now through fall 2025! I believe our program provides an opportunity to work alongside some of the best researchers and engineering experts in the world — exploring the unknown of building foundation models for
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