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Brian L. Hie on Muck Rack

Brian L. Hie

California, San Francisco
As seen in: Nature, Wiley Online Library, ScienceDirect, Flipboard, Genome Biology, Science Magazine, BioRxiv, Cell Press, Tiger Sniff, Haber Aktuel
AI for biology @Stanford and @arcinstitute
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Articles

Aligning protein-generative models to experimental fitness with ProteinDPO

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By Talal Widatalla, Ashir A. Borah, Samuel King, Claudia L Driscoll, Rafael Rafailov, Brian L. Hie
| Nature Verified
Abstract Biological generative models can predict biological functions without task-specific training data but often under-perform specialized models. This is due to a fundamental ‘alignment gap’, where the rules learned during unsupervised training are not related to the function of interest.
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Yapay Zeka Laboratuvarda 16 Yeni Virüs Tasarladı

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By Muaz Kalaycı Verified, Brian L. Hie, Samuel King
| Haber Aktuel Verified
Laboratuvarda yapay zeka ile tasarlanan 16 yeni virüs, yalnızca belirli bakterileri hedef alacak şekilde geliştirildi ve insan sağlığı açısından tehdit oluşturmuyor. Bilim dünyası bu gelişmeyi “çok önemli bir dönüm noktası” olarak nitelendiriyor. Bu adımın, hastalıklara yönelik tedavilerde yeni bir çağ başlatabileceği belirtiliyor. Uzmanlar ise yapay zeka ile tasarlanan virüslerin “acil” güvenlik endişeleri doğurduğu konusunda uyarıyor.
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Generative design of bacteriophages with genome language models

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By Qing Ji, Eric Merrill, J. Elliott Campbell, Samuel King, Claudia L Driscoll, David Li, Daniel Guo, Aditi Merchant, Garyk Brixi, Brian L. Hie
| Science Magazine Verified
Editor’s summary Structured Abstract Abstract Supplementary Materials References and Notes Information & Authors Metrics & Citations Check Access References Figures Tables Media Share Editor’s summary The ability to design complex biological systems with artificial intelligence (AI) has the potential to transform biotechnology, but progress has largely been limited to the scale of individual genes and proteins, with whole-genome design remaining out of reach. King et al.
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