https://j.people.com.cn/n3/2026/0716/c95952-20478472.html

The Beijing Municipal Party Committee’s Leading Group for Education, Science, Technology, and Talent Work has issued the “Implementation Plan for Accelerating AI-Driven Scientific Research Support in Beijing (2026–2028)”. The plan systematically outlines key measures—such as establishing autonomous laboratories, creating model cases, building scientific models, and developing scientific data infrastructure—to drive the creation of a global hub for AI-driven scientific innovation and support the development of the Beijing-Tianjin-Hebei International Science and Technology Innovation Center.

The Implementation Plan sets a goal to achieve significant, original breakthroughs in the fundamental theories and key technologies of AI-driven scientific research by 2028, aiming to establish a global hub for AI-driven scientific innovation. It also outlines 18 major tasks across five key areas. Specifically, these include:

• Accelerating the systematic development of autonomous laboratories, promoting the smart upgrading of critical scientific infrastructure, and establishing a new “dry-wet” integrated closed-loop model where computation and experimentation provide mutual feedback.
• Creating model cases in six key fields—such as high-energy physics, materials science, and medical healthcare—to shorten R&D cycles and reduce experimental costs.
• Building a three-tiered system comprising “fundamental theories, general-purpose scientific models, and specialized models” to promote the deep integration of AI and traditional scientific computing.
• Developing standardized scientific data infrastructure to eliminate data silos in scientific research.
• Promoting talent development and recruitment, the deployment of computing power, and international exchange and cooperation to build an open and collaborative innovation ecosystem.