U.S. Government, Google and Meta Launch $1.8 Billion AI Biology Data Effort
Molly O'Shea reports a $1.8 billion coalition including Biohub, the Department of Energy, NIH, Meta, Google DeepMind and Isomorphic Labs to build the largest open, AI-ready biological dataset to help models predict biology and treat disease.
Original post · 1 min read
The goal is to create the largest open, AI-ready biological dataset ever assembled, giving models the data needed to better predict how biology works & ultimately help treat disease.
The coalition is massive:
› Biohub committed $500M
› DOE is investing $500M+ across measurement, modeling & compute
› NIH is bringing $500M+ of federally funded datasets & repositories
› Meta, Google DeepMind & @IsomorphicLabs are jointly investing another $300M
This is effectively an infrastructure buildout for AI biology.
Instead of just building bigger models, they’re attacking one of the biggest bottlenecks in biology AI today, generating standardized, high-quality biological data at massive scale & making it openly available to researchers.
$1.8B committed to turning biology into something AI can increasingly model, predict & engineer.
