Biohub, the US Department of Energy, the National Institutes of Health, Google DeepMind, Isomorphic Labs, and Meta are jointly committing $1.8 billion to generate open biological data for training AI models that could predict cell behavior and accelerate drug development.

• Biohub, the Department of Energy, the National Institutes of Health, Google DeepMind, Isomorphic Labs, Meta, and other scientific organizations are collaborating to create and standardize data for a "universal virtual cell," according to Axios.
• Google DeepMind, Isomorphic Labs, and Meta have together committed $300 million to the initiative, Yahoo Finance reports.
• Commercial funders get one year of exclusive access to the data they paid for before it goes public, while government-funded work will be available without those restrictions, The Decoder reports.