Biohub's $1.8 billion effort to build AI models of cell behavior
Overview
Biohub, the nonprofit backed by Mark Zuckerberg and Priscilla Chan, is coordinating a $1.8 billion effort covering data, lab equipment and compute to build AI models that predict cell behavior.
Meta, Google DeepMind and Isomorphic Labs contribute a combined $300 million, and the US Department of Energy is investing over $500 million over five years.
The Decoder reports that commercial funders get one year of exclusive access to the data they paid for, while government-funded data will be public without that restriction. A first dataset is expected in about a year.
QbitAI separately describes the project as part of a shift in AI biology toward models of whole life systems, but does not report new figures or terms.
Written by AI from the articles below · updated Oct 19, 11:14 AM ET
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Developments
2 developments
- Oct 19, 6:04 AM ET · 1 articleAI moves toward life systems, with Biohub, the US government, and WHIRLPO leading the pushQbitAI: AI moves toward life systems, with Biohub, the US government, and WHIRLPO leading the push
- Oct 7, 1:58 PM ET · 1 articleBiohub coordinates $1.8 billion effort to build AI models predicting cell behaviorThe Decoder: Biohub coordinates $1.8 billion effort to build AI models that predict cell behavior
Article timeline
The articles in this story. Times are ET.
- QbitAINewsAI moves toward life systems, with Biohub, the US government, and WHIRLPO leading the push
AIThe article argues that AI biology is shifting from molecule design toward life-system models, citing Biohub's virtual biology program and an 1.8 billion dollar project with US government agencies. It says China's new 15th Five-Year pharmaceutical plan puts computational medicine among key technologies, and that WHIRLPO, released by Zheyuan Technology on October 17, is an infrastructure platform for training and running such models.
- The DecoderNewsBiohub coordinates $1.8 billion effort to build AI models that predict cell behavior
AIBiohub, the nonprofit backed by Mark Zuckerberg and Priscilla Chan, is coordinating a $1.8 billion effort covering data, lab equipment, and compute. Meta, Google DeepMind, and Isomorphic Labs are contributing a combined $300 million, and the US Department of Energy is investing over $500 million over five years. Commercial funders get one year of exclusive access to data they paid for, while government-funded data will be public without that restriction, and a first dataset is expected in about a year.
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