Beijing has a dedicated AI for Science strategy
The 2025–2027 plan calls for scientific foundation models, domain agents, high-quality scientific databases, computing infrastructure, automated instruments, experimental robots and benchmark applications.
Scientific models are only the first layer
The intended stack joins computation, experimental scheduling and control, wet/dry laboratories, high-throughput systems and feedback: computation proposes, experiment tests, data returns and the model updates.
AI drug discovery sits inside the policy stack
The plan covers target discovery, molecular and drug design, clinical-trial optimisation, safety and efficacy prediction, medical AI and pharmaceutical manufacturing.
Changping and Huairou represent different scientific nodes
Changping combines life-science industry and commercial translation. Huairou combines major facilities, scientific data, autonomous laboratories and original research. Some companies may need both.