Plans have been officially unveiled to position the Chinese capital as a leading global center for artificial intelligence-powered scientific research by 2028.
The "Beijing Implementation Plan for Accelerating AI Empowerment of Scientific Research (2026-2028)" was formally released, outlining a strategy to achieve major original breakthroughs in the foundational theories and key technologies of AI-augmented science.
The initiative aims to build a globally influential scientific intelligence innovation hub, providing robust support for the development of the Beijing-Tianjin-Hebei International Science and Technology Innovation Center.
The plan is structured around five key directions: autonomous laboratory systems, high-value application scenarios, scientific model frameworks, scientific data infrastructure, and the innovation ecosystem. It encompasses 18 specific tasks, including establishing autonomous labs, promoting intelligent upgrades for major scientific facilities and instruments, and developing AI research agents and toolkits.
Accelerating the Development of Autonomous Laboratory Systems
The first focus is on creating intelligent experimental platforms with full-process autonomous operation capabilities. This involves coordinating the construction of autonomous laboratories, the intelligent upgrading of major scientific infrastructure and research instruments, and the development of research-oriented AI agents and toolsets. The goal is to establish a new "dry-wet closed-loop" research paradigm that integrates computation and experimentation through bidirectional feedback, ultimately building autonomous labs capable of independent perception, decision-making, and execution. The plan also includes completing iterative upgrades and open sharing for a batch of major scientific facilities.
Promoting High-Value Benchmark Applications
The second thrust targets six key areas: high-energy physics, materials science, healthcare and life sciences, quantum technology, and biological breeding. The strategy involves deploying intelligent research and development tasks to create a series of benchmark application scenarios. This aims to accelerate the output of innovative results, using AI to empower both fundamental frontier research and industrial R&D, thereby shortening development cycles and reducing experimental costs.
Strengthening a Hierarchical and Collaborative Scientific Model System
The third pillar involves a three-tiered, progressive layout from foundational theory to general-purpose scientific base models and specialized models for细分领域. It seeks breakthroughs in core technologies like multi-scale modeling and novel neural networks. The plan advocates for the deep integration of AI models embedded with physical laws with traditional scientific computing, establishing a coordinated adaptation mechanism between base and specialized models. The objective is to achieve significant original breakthroughs in the foundational theories and key technologies of AI-empowered scientific research, building a collaborative scientific model system of "base models + professional models" that meets international一流水平 standards.
Reinforcing a Standardized Scientific Data Foundation
The fourth area focuses on solidifying the data infrastructure. This entails coordinated advancement in building scientific data centers,完善ing Beijing's scientific data management system, and aggregating multi-source research data resources. The plan also calls for the establishment of an intelligent scientific data processing tool system to create high-quality, standardized, and reusable foundational discipline scientific datasets.
Cultivating an Open Innovation Ecosystem
The final direction is to foster an open innovation environment by integrating four major measures: cultivating interdisciplinary talent, facilitating international scientific exchange and cooperation, promoting regional coordination, and ensuring computing power supply. Initiatives include搭建 global academic exchange platforms, coordinating and调度 Beijing's computing resources, and building an integrated support system encompassing talent, computing power, and open collaboration. The aim is to form a scientific intelligence innovation ecosystem characterized by the concentration of high-end talent, open-source sharing, and deep integration of industry, academia, research, and application.
A municipal official stated that the implementation plan leverages Beijing's combined advantages in integrated education-science-talent development, its AI industry, and its scientific research resources. It constructs a full-chain promotion system encompassing "models-data-intelligent agents-autonomous laboratories-scenarios-ecosystem," coordinating various policy tools and innovation resources at all levels with the goal of creating a global hub for scientific intelligence innovation.
The next steps involve taking the lead in ensuring the policy's落地 implementation, organizing collaborative research efforts among Beijing's leading research institutes, enterprises, and new-type R&D institutions. Efforts will focus on promoting the清单化 and project-based implementation of various tasks, continuously完善ing the scientific intelligence innovation ecosystem, and providing full support for achieving high-level self-reliance and strength in science and technology.
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