Overview
- On Wednesday, Oct. 7, Biohub announced a coordinated $1.8 billion expansion of its Virtual Biology Initiative to generate standardized biological data for predictive AI models.
- The Department of Energy pledged more than $500 million over five years to fund lab measurement, modeling and exascale computation across the national lab system.
- The National Institutes of Health will contribute by coordinating existing federally funded datasets that total over $500 million while Biohub will standardize those resources for AI training.
- Google DeepMind, Isomorphic Labs and Meta jointly committed $300 million and corporate funders will receive a reported one-year exclusive access window to data they help produce before public release.
- Partners plan to deliver a first large, standardized multimodal dataset in about one year and aim for demonstrably accurate predictive cell models within roughly five years using technologies such as cryo-ET, high‑throughput microscopy and autonomous labs.