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PolymathicAI
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PolymathicAI
@PolymathicAI
The Polymathic AI Collaboration. Shared account.
polymathic-ai.org
Joined September 2023
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    PolymathicAI
    @PolymathicAI
    Oct 9, 2023
    Announcing: *The Polymathic AI Initiative* We are researching a new class of foundation models for scientific *data*, developing models that share scientific concepts across disciplines. Site: polymathic-ai.org News: simonsfoundation.org/2023/10/09/sci… Thread: 👇
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    PolymathicAI
    @PolymathicAI
    Dec 11, 2023
    We're thrilled to be at @NeurIPSConf for the first time since we formed a few months ago! If you're there, we'd love to chat with you about our team and AI/ML research! Reach out and be sure to check out our accepted papers👇#NeurIPS2023 #AI4Science and we are HIRING 🥳
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    PolymathicAI
    @PolymathicAI
    Dec 18, 2023
    Very excited to share that our team's "Multiple Physics Pre-training" paper won the Best Paper Award at @AI_for_Science workshop at NeurIPS this year! Congrats to the team and to @mikemccabe210, @BrunoRegaldo @liamhparker and @oharub for leading the effort! 🥳
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    AI for Science
    @AI_for_Science
    Dec 17, 2023
    Congratulations to the best paper award winners at NeurIPS AI for Science 2023 workshop! @mikemccabe210 @kchonyc @cosmo_shirley Andres M Bran @SamCox822 @andrewwhite01 @pschwllr
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    PolymathicAI
    @PolymathicAI
    Feb 23, 2024
    Are you a student looking for an internship this summer or fall? Want to build foundation models for science in NYC? Join us at @PolymathicAI at @FlatironInst! forms.gle/io8ZQuEBxo9qM7…
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    PolymathicAI
    @PolymathicAI
    Dec 18, 2023
    Replying to @PolymathicAI
    Blog: polymathic-ai.org/blog/mpp/ Paper: arxiv.org/abs/2310.02994 Code: github.com/PolymathicAI/m…
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    PolymathicAI
    @PolymathicAI
    Oct 9, 2023
    Replying to @PolymathicAI
    There's much preliminary research required to build a foundation model for scientific data. This week are releasing three papers on the fundamentals of this space: (1) xVal: continuous tokenization for numbers (2) Multiple Physics Pre-training (3) AstroCLIP 5/n
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    PolymathicAI
    @PolymathicAI
    Oct 9, 2023
    Replying to @PolymathicAI
    AstroCLIP thread: x.com/liamhparker/st… 8/8
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    Liam
    @liamhparker
    Oct 9, 2023
    Excited to share some of our recent work at @PolymathicAI! With AstroCLIP we are bringing multimodal contrastive pretraining to astrophysics!
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    PolymathicAI
    @PolymathicAI
    Oct 9, 2023
    Replying to @PolymathicAI
    Our aim with the Polymathic AI initiative is to accelerate the development of versatile foundation models tailored for machine learning tasks in *science*. A breakthrough in this field would mark a significant shift analogous to the one seen in the domains of vision and NLP. 1/n
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    PolymathicAI
    @PolymathicAI
    Oct 9, 2023
    Replying to @PolymathicAI
    xVal thread: x.com/SiavashGolkar/… 6/n
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    Siavash Golkar
    @SiavashGolkar
    Oct 9, 2023
    1/ Did you know LLMs like ChatGPT struggle with number manipulation and data analysis? They make up answers and fail to generalize. Today I am excited to share xVal, a continuous and efficient number encoding scheme with better generalization performance. polymathic-ai.org/blog/xval/
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    PolymathicAI
    @PolymathicAI
    Oct 9, 2023
    Replying to @PolymathicAI
    Our team, led by @cosmo_shirley, comprises both pure machine learning researchers and domain scientists, covering a wide array of disciplines: 2/n
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    PolymathicAI
    @PolymathicAI
    Dec 11, 2023
    Replying to @PolymathicAI
    Check out our oral presentation of Multiple Physics Pretraining (MPP) at #AI4Science workshop! MPP is a group of techniques for pretraining on a diverse set of time-dependent physics to learn models that can be fine-tuned for multiple problems. x.com/mikemccabe210/…
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    Mike McCabe
    @mikemccabe210
    Oct 9, 2023
    Very excited to present Multiple Physics Pretraining! MPP is a group of techniques for pretraining on a diverse set of time-dependent physics to learn models that can be fine-tuned for multiple problems. Blog: polymathic-ai.org/blog/mpp/ Paper: arxiv.org/abs/2310.02994
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    PolymathicAI
    @PolymathicAI
    Dec 11, 2023
    Replying to @PolymathicAI
    We are hiring a software engineer or software-focused researcher to embark with us on this journey of changing how science is done with large foundation models! Reach out if you are excited! A large number of our team is at NOLA this week! Find us : polymathic-ai.org/#team
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    PolymathicAI
    @PolymathicAI
    Oct 9, 2023
    Replying to @PolymathicAI
    MPP thread: x.com/Mike_McCabe21/… 7/n
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    Mike McCabe
    @mikemccabe210
    Oct 9, 2023
    Very excited to present Multiple Physics Pretraining! MPP is a group of techniques for pretraining on a diverse set of time-dependent physics to learn models that can be fine-tuned for multiple problems. Blog: polymathic-ai.org/blog/mpp/ Paper: arxiv.org/abs/2310.02994
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    PolymathicAI
    @PolymathicAI
    Oct 9, 2023
    Replying to @PolymathicAI
    We are graciously supported with funding from @SimonsFdn @FlatironInst. Additional participating institutions include @nyuniversity, @Cambridge_Uni, @SchmidtFutures, @Princeton, and @BerkeleyLab. 4/n
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