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    <title>AI for science — USASI news</title>
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    <description>Dated, sourced news items about the organizations and records featured in the USASI AI for science hub. Independent project. Not a United States government website.</description>
    <language>en-us</language>
    <lastBuildDate>Tue, 13 Oct 2026 12:00:00 GMT</lastBuildDate>
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      <title>White House science summit lists industry partners in the Genesis Mission Consortium</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/white-house-science-summit-genesis-consortium-partners/</link>
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      <pubDate>Sun, 11 Oct 2026 12:00:00 GMT</pubDate>
      <category>policy</category>
      <description>On October 8, 2026 the White House published a fact sheet on science initiatives announced at its &quot;Science: A New Golden Age&quot; summit. It says eleven industry partners committed SI-for-science tools and compute credits to the Genesis Mission Consortium, and names NVIDIA, AMD, OpenAI, Anthropic, Google, AMP, Emerald AI, AWS, Armada, Crusoe, and Micron. The same fact sheet says NIH, DOE, and Biohub launched a virtual biology initiative to build data and models for virtual cells. The fact sheet describes announcements and commitments rather than an executive order.</description>
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    <item>
      <title>Arc Institute releases PIE, a model for predicting cell responses to perturbations</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/arc-institute-releases-pie-perturbation-model/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>research</category>
      <description>On October 5, 2026, Arc Institute announced PIE (&quot;Perturbation is Everything&quot;), a model that predicts how cells respond to perturbations in contexts it has not seen by drawing on curated biological databases such as Cellosaurus, NCBI, Gene Ontology, DepMap, and PubChem. Arc says the full codebase, including training and evaluation pipelines, is on GitHub, with model checkpoints and processed datasets on Hugging Face and a bioRxiv preprint. The repository's README says PIE is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license, which allows non-commercial use with attribution. USASI has not tested PIE.</description>
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      <title>Biohub's esm 3.4.0 package adds full support for ESMC and ESMFold2</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/biohub-esm-3-4-0-adds-esmc-and-esmfold2-support/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>Biohub published version 3.4.0 of its esm Python package on August 27, 2026. The release notes say it adds full support for ESMC and ESMFold2, a test suite for both, and a compatibility layer for the Hugging Face ports of ESMC and ESMFold2, while maintaining support for legacy model weights. Biohub's Hugging Face organization hosts ESMC-6B-hf, whose model card describes ESMC as a protein language model, says the ESMC 6B model has 6 billion parameters, and says Biohub is releasing source code and model weights for ESMC 6B, ESMFold2, and ESMC sparse autoencoders. The repository README says the models are available under the MIT license. USASI has not tested this release.</description>
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