Partners pledge 1.8 billion dollars for predictive biological artificial intelligence datasets

The short version

• A coalition of public agencies, research institutions, and technology firms announced a $1.8 billion collective initiative to generate and organize AI-ready biological data.[Hacker News]
• The effort includes over $500 million from the Department of Energy, $500 million in coordinated NIH-funded assets, $500 million from Biohub, and $300 million from tech companies.[Hacker News]
• The initiative aims to enable digital biological experiments and predictive models of disease by creating large-scale open data resources.[Hacker News]

Key facts

• Biohub, the Department of Energy, the NIH, and partners announced a $1.8 billion investment in funding, data, computation, and measurement technology for AI-ready biological data.[Hacker News]
• The Department of Energy will contribute more than $500 million over five years for lab measurement, modeling, and computation.[Hacker News]
• The NIH will coordinate contributions of datasets, repositories, and knowledge bases from over $500 million in prior federal investments.[Hacker News]
• Google DeepMind, Isomorphic Labs, and Meta are collectively providing $300 million for the Virtual Biology Initiative.[Hacker News]
• Biohub's founding $500 million allocation includes $400 million for measurement tools and $100 million for external research.[Hacker News]

Sources

Outlet counts describe coverage, not independent confirmation. Reports may share a wire service or original source.

• AI-ready biological data: $1.8B global commitmentHacker News