Zuckerberg's Biohub leads a $1.8 billion push to build AI models that predict cell behavior
Zuckerberg's Biohub is leading a $1.8 billion effort to build AI models that predict cell behavior.
Biohub, the nonprofit backed by Mark Zuckerberg and Priscilla Chan, is coordinating a $1.8 billion effort to build AI models that predict cell behavior and could speed drug development. Meta, Google DeepMind, and Isomorphic Labs are contributing $300 million combined, while the US Department of Energy is investing over $500 million in lab measurements and compute over five years. The NIH is coordinating datasets backed by more than $500 million in prior federal funding, which Biohub will standardize for training. Commercial funders get one year of exclusive access, and a first dataset is expected in about a year.
- Biohub coordinates a $1.8 billion data, lab, and compute program.
- Meta, DeepMind, and Isomorphic Labs are contributing $300 million combined.
- The Energy Department is investing over $500 million in measurements and compute.
- Commercial backers get one year of exclusive data access before release.
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AI models are supposed to learn to predict cell behavior, which could speed up drug development. Biohub, the nonprofit backed by Mark Zuckerberg and Priscilla Chan, is coordinating a $1.8 billion effort spanning data, lab equipment, and compute, Reuters reports. The group had already pledged $500 million in April for its five-year "Virtual Biology Initiative." Meta, Google DeepMind, and Isomorphic Labs are contributing a combined $300 million, while the US Department of Energy is investing over $500 million in lab measurements and compute over five years. The National Institutes of Health are coordinating datasets built with more than $500 million in prior federal funding, and Biohub will standardize them for AI training.
Commercial funders get one year of exclusive access to the data they paid for before it goes public, according to Biohub research lead Alex Rives. Government-funded work will be available without those restrictions. A first dataset should be ready in about a year.
Other AI companies are also pursuing biology projects. Anthropic has built its own biology lab for AI-driven drug development, and the OpenAI Foundation is putting more than $125 million toward biological and medical datasets.
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