扎克伯格旗下 Biohub 牵头 18 亿美元计划，用 AI 预测细胞行为
Zuckerberg's Biohub leads a $1.8 billion push to build AI models that predict cell behavior
扎克伯格与 Priscilla Chan 支持的非营利机构 Biohub 正协调一项 18 亿美元计划，覆盖数据、实验室设备与算力，目标是训练能预测细胞行为的 AI 模型以加速药物研发。Meta、Google DeepMind 和 Isomorphic Labs 合计出资 3 亿美元，美国能源部五年投入超 5 亿美元用于实验室测量与算力，NIH 协调此前由超 5 亿美元联邦资金构建的数据集，由 Biohub 标准化用于 AI 训练。Biohub 研究负责人 Alex Rives 表示，商业出资方对其付费数据有一年独占期，之后才会公开，政府资助成果则无此限制，首批数据集预计约一年后就绪。
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AI models are supposed to learn to predict cell behavior, which could speed up drug development. Biohub, the nonprofit backed by Mark Zuckerberg and Priscilla Chan, is coordinating a $1.8 billion effort spanning data, lab equipment, and compute, Reuters reports . The group had already pledged $500 million in April for its five-year "Virtual Biology Initiative." Meta, Google DeepMind, and Isomorphic Labs are contributing a combined $300 million, while the US Department of Energy is investing over $500 million in lab measurements and compute over five years. The National Institutes of Health are coordinating datasets built with more than $500 million in prior federal funding, and Biohub will standardize them for AI training.
Commercial funders get one year of exclusive access to the data they paid for before it goes public, according to Biohub research lead Alex Rives. Government-funded work will be available without those restrictions. A first dataset should be ready in about a year.
Other AI companies are also pursuing biology projects. Anthropic has built its own biology lab for AI-driven drug development, and the OpenAI Foundation is putting more than $125 million toward biological and medical datasets.