Biohub, Meta, Google DeepMind and the US pool $1.8bn for AI biology data
Biohub, the US Department of Energy and the National Institutes of Health are putting $1.8bn into data to train AI models that predict how cells behave. Meta, Google DeepMind and Isomorphic Labs are joining with $300M between them, Biohub announced on Wednesday.
Biohub is the nonprofit research institute backed by Mark Zuckerberg and Priscilla Chan. The $1.8bn covers funding, data, computing and new measurement technology. Biohub called it the largest coordinated commitment to AI-ready biology data so far.
“An accurate predictive model of biology could dramatically accelerate scientific discovery by enabling scientists to perform experiments digitally,” said Alex Rives, Biohub’s head of science.
Who is paying for what
The Department of Energy will spend more than $500M over five years on lab measurement, modelling and computing. Its share runs through the Genesis Mission science push. It will draw on exascale supercomputers, X-ray and neutron scattering, cryo-electron microscopy and self-running...
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