Biohub secures $2B from US government, Google, Meta for AI biology data initiative

Meta: Meta Platforms develops AI systems alongside its core social and connectivity products. It backs the Biohub project through its CEO Mark Zuckerberg and participation by its research teams in data creation efforts. The involvement reflects its interest in advancing foundational AI capabilities in scientific domains. Biohub: Biohub is a nonprofit organization established by Meta CEO Mark Zuckerberg and Priscilla Chan to fund ambitious scientific projects. It leads the Virtual Biology Initiative, coordinating measurements of cellular responses and the creation of datasets to train predictive AI models for biology. The effort emphasizes open science while attracting private investment through structured data access. Google: Google, the parent company of Alphabet, develops AI technologies applied across multiple scientific domains. It is participating in the Biohub project through its DeepMind lab to help create open datasets for training AI models on biological systems. The involvement builds on its existing work applying machine learning to complex research challenges. Alex Rives: Alex Rives is head of science at Biohub and oversees the technical direction of its data initiatives. He has described the need to capture cellular patterns through new measurement techniques to enable AI predictive models. Rives has outlined how the project balances commercial participation with eventual public data release. US Government: The US Government advances scientific research through federal agencies focused on energy, health, and data standardization. It is partnering with Biohub on the Virtual Biology Initiative to generate and organize large-scale biological datasets for AI model training. This collaboration highlights its role in supporting open science efforts that span public and private sectors. Google DeepMind: Google DeepMind conducts advanced AI research with applications in science and discovery. It is jointly committing resources with Meta and Isomorphic Labs to support Biohub's generation of biology datasets. This work extends its focus on using AI to model complex systems like those in biological research. Isomorphic Labs: Isomorphic Labs is an AI-focused drug discovery company. It is collaborating on the Biohub initiative to build datasets that can improve AI models for biological prediction. The partnership aligns with its mission to accelerate pharmaceutical research through machine learning. AI Competition: Anthropic and OpenAI are pursuing parallel efforts to develop biological datasets and capabilities for their AI models. Data Access Model: The initiative uses embargo periods to give commercial funders initial use of datasets before making them publicly available as open resources. Research Acceleration: The Virtual Biology Initiative aims to compress extended traditional timelines for generating comprehensive cell response data into a much shorter period.