US Government, Google Join Zuckerberg-Backed Biohub in $1.8 Billion Push for AI Biology Data
The project will pool funding, data and computing to help scientists test experiments virtually and narrow the most promising lab work.
- On Wednesday, Biohub announced a $1.8 billion collaboration with the U.S. government, Google parent Alphabet, and Meta Platforms to build open AI datasets for biological research.
- Biohub Head of Science Alex Rives said researchers face a 'big challenge' bridging the gap between digital compute and the physical world of biology; the initiative aims to capture the 'language of the cell' to accelerate drug development.
- Funding includes $500 million from the Department of Energy over five years, $300 million from Meta and Google DeepMind, and $500 million in federal investment coordinated by the National Institutes of Health, with Biohub previously committing $500 million.
- Commercial partners receive one year of exclusive access to developed data before it becomes a public scientific resource; Rives stated this embargo incentivizes private companies to contribute while ensuring information eventually benefits the broader research community.
- Partners expect an initial dataset within one year, targeting a five-year window for work that would otherwise take decades; predictive models could eventually help scientists investigate aging, regeneration, and molecular mechanisms behind diseases like Alzheimer's.
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Zuckerberg’s Biohub lands Google and U.S. Government backing for $1.8 billion AI biology push - Tech Startups
Mark Zuckerberg’s Biohub has pulled Google, Meta, and the U.S. government into a $1.8 billion effort to generate the biological data needed to train AI systems that can predict how living cells behave. The project, called the Virtual Biology Initiative, […] The post Zuckerberg’s Biohub lands Google and U.S. Government backing for $1.8 billion AI biology push first appeared on Tech Startups.
Meta, Google DeepMind and the US back Biohub’s $1.8bn AI biology push
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. […] This story continues at The Next Web
US government, Google join Zuckerberg-backed Biohub in $1.8 billion push for AI biology data
By Krystal Hu Oct 7 (Reuters) - The US government and tech heavyweights Meta Platforms and Google parent Alphabet are joining nonprofit Biohub to build open datasets to train AI models for biological reasearch, bringing total investment in the effort t...
"The beginning of a new scientific paradigm": Zuckerberg's Biohub, U.S. and Google build virtual cell
Mark Zuckerberg's Biohub is partnering with Google and the federal government in its ambitious effort to use AI for generating vast quantities of biological data that can predict how cells behave.Why it matters: The ultimate goal is an AI model that lets scientists test potential experiments virtually, helping them identify the most promising ones before spending the time and money to perform them in the lab.AI is capable of understanding protei…
Biohub announced a $1.8 billion project along with the U.S. government, Meta, Google DeepMind and Isomorphic Labs to collect and standardize cellular data with which to train biological AI models. The initiative seeks to produce in five years information that, according to its managers, would normally require decades of work.
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