AI for Science (AI4S) is emerging as a pivotal force in accelerating scientific breakthroughs and underpinning high-level technological self-reliance. As AI4S transitions from conceptual exploration and model testing into a new phase marked by mature infrastructure and real-world vertical applications, we are witnessing a profound transformation in research paradigms. From the launch of the nation's first general-purpose scientific foundation model, "Panshi," to the deployment of Omni Scientist, the world's first intelligent agent system for full-cycle research talent training, and from dramatically shortened material development cycles to significantly reduced drug discovery costs, this AI-driven revolution in research is moving from blueprint to reality.

Leveraging its unique strengths, Haidian is leading the AI4S era. As a national epicenter for AI innovation, Haidian has taken the initiative to pioneer the AI4S paradigm. The district concentrates top-tier intellectual talent and high-performance computing power, continuously nurturing the scientific momentum that could reshape humanity's future. With three core advantages—the densest resources, the most robust infrastructure, and the most powerful models—Haidian is vigorously competing in the AI4S arena and proactively steering industry trends.

An Innovation Ecosystem Rainforest

If AI4S is a towering tree, then innovation resources are the fertile soil that nourishes it. In Haidian, the depth and density of this soil are unmatched nationwide. More than ten core AI4S institutions, including Peking University, Tsinghua University, the Chinese Academy of Sciences, Zhongguancun College, the Zhongguancun AI Research Institute, and the Beijing Institute of Scientific Intelligence, are clustered here. Over 30 innovative enterprises, such as Deep Potential and BioMap, are also gathering and growing here, collectively supporting two-thirds of Beijing's AI4S industry landscape. From fundamental research and technology development to the commercialization of results, a complete and vibrant innovation chain is seamlessly connected in Haidian.

Some have summarized Haidian's advantage with a "wisdom density" formula: Wisdom Density = (Number of Top Minds × Collision Randomness) ÷ Physical Distance Squared. It is this high-density agglomeration of innovation resources that makes the sparks of intellectual collision easier to ignite and repeatedly shortens the distance from laboratory breakthroughs to market adoption.

Major Platforms Provide a "Super Runway" for Scientific Intelligence

If models are the "engine" of AI4S, then major platforms are the "super runway" that enables this engine to operate at high speed. Across Haidian, numerous hardcore platforms are being rapidly deployed, becoming the key force driving AI4S forward. The Beijing Institute of Scientific Intelligence, in collaboration with Deep Potential, has launched the Bohrium space station, the first AI research cloud platform covering "literature review, computation, experimentation, and multi-disciplinary collaboration." Tsinghua University's Chemistry Department is using AI to empower synthetic chemistry, building an intelligent chemistry toolchain that uses lightweight experimentation to discover novel catalytic reactions and accelerate the development of innovative drugs and new material molecules.

Peking University's School of Advanced Materials is focusing on intelligent research of carbon-based materials, developing the CarbonKylin intelligent platform. Leveraging AI for material structure prediction, performance simulation, and process optimization, it has successfully realized frontier technological achievements such as high-performance fibers and industrial-grade single-atom catalysts. The University of Science and Technology Beijing is leading the construction of the National New Materials Big Data Center, aggregating core data across all material categories to establish a national-level data hub that provides powerful data support for scientific research.

Breakthroughs in "General Brains" and "Specialist Experts"

In Haidian, the development of AI4S models resembles two teams advancing side-by-side: one focuses on "general brains" to solidify the foundation for all sciences, while the other consists of "specialist experts" scaling the heights in specific verticals. The Chinese Academy of Sciences, together with more than ten research institutes, has released "Panshi," the nation's first general-purpose scientific foundation model, along with the "Panshi 100" full-domain scientific model system. This integrates a complete suite of professional simulation toolchains, achieving cross-disciplinary collaborative reasoning and a closed loop for autonomous research across the entire process.

The Zhongguancun colleges' MegaDFT model enables "hundreds of thousands of atom" high-precision simulations, moving first-principles calculations into the realm of realistic, complex systems research and supporting quantitative analysis of超大 biological molecules and non-periodic materials with quantum chemical accuracy. The Beijing Institute of Scientific Intelligence has launched a new generation model architecture, DPA4, which has topped the international authoritative "Matbench Discovery" leaderboard in materials discovery, supporting the R&D of new materials for batteries, catalysts, and semiconductors.

Beijing Academy of Artificial Intelligence (BAAI) has independently developed OpenComplex 2.5, a domestic integrated AI drug discovery model. It innovates end-to-end full-atom distribution modeling, allowing a single model to cover multiple core tasks in drug development.

Setting Application Benchmarks: Haidian Unleashes AI4S Industrial Momentum

No matter how advanced model performance becomes, it must ultimately enter real-world scenarios to withstand practical testing. In Haidian, AI4S has long since moved beyond academic papers and laboratory concepts. It is no longer an abstract frontier idea but a practical, reusable, and efficiency-enhancing production tool, continuously taking root in key tracks such as biomedicine, advanced materials, and high-end manufacturing.

AI + New Materials: From "Empirical Trial and Error" to "Simulation and Prediction"

In the past, new material R&D was often constrained by a "cooking-style" trial-and-error model, plagued by long experimental cycles and high development costs. Now, Haidian is seizing the AI4S opportunity, leveraging integrated generalist and specialist models to systematically reshape the entire new material R&D system. The district is focusing on building specialized incubation platforms to open up the path for technology commercialization. The Paibo Incubator, located in JinYu Zhihui Center, focuses on the AI + new materials track. It leverages resources from top institutions like Peking University, Tsinghua University, Beihang University, and the Chinese Academy of Sciences to build a four-dimensional empowerment system covering technology, computing power, industry, and capital.

The continuous gathering of industry-academia-research resources lays a solid foundation for enterprises to conduct technological breakthroughs and industrial scenario validation. Deep Potential's Piloteye platform, an automated full-process battery design platform, effectively shortens the iteration cycle for battery material R&D. Suyuan Matrix's industrial intelligent agent products, deployed in typical process industries like cement, have improved product qualification rates from 95% to 98%, reduced comprehensive cost per ton by 2%-3%, and achieved annualized cost savings exceeding 10 million RMB within just six months of operation.

AI + New Drug R&D: From "A Decade of Effort" to "Results in Two Years"

The new drug development industry faces a brutal "rule of thirty": a new drug typically requires ten years of R&D, an investment of one billion US dollars, and has an overall success rate of less than 10%. Addressing these industry pain points, Haidian is closely targeting the entire new drug R&D chain, vigorously promoting the application of AI technologies, and building an industrial acceleration system through multi-platform collaboration. Haidian has partnered with 24 leading industry companies to establish the New Drug R&D 7S Accelerator, based on the Beijing Medical and Health Trusted Data Space. This initiative breaks down the entire pharmaceutical R&D chain into 7 major segments and 30 key steps, opening up various AI tools and model resources to enterprises. Through platform building, data supply, and intelligent computing support, it continuously accelerates the new drug R&D process.

Zheyuan Technology has connected the R&D chain with its "Human-Disease-Drug" platform. Its pancreatic cancer targeted drug took less than two years from molecular design to IND (Investigational New Drug) approval. Huashen Zhiyao, leveraging its AI digital system, has reduced the development of preclinical candidate molecules from 3-5 years to just 10 months, gaining recognition from international pharmaceutical companies and positioning itself among the global leaders in macromolecular drug development.

AI + Quantum Technology: From "Following" to "Leading"

Qubits are extremely fragile and highly susceptible to environmental noise, leading to calculation errors. How to accurately capture atoms and perform real-time error correction has long been a world-class challenge limiting quantum computing development. Haidian is targeting the entire quantum computing chain, promoting deep integration of AI and quantum technology, connecting fundamental theoretical methods with core device systems, and accelerating the development of highly reliable, scalable, and intelligent fault-tolerant quantum computing prototypes. Guided by the district's overall innovation layout, local enterprises are leveraging cutting-edge research resources to concentrate on tackling key core technologies. For instance, Liangzhi Kaiwu, based on Tsinghua University's ten-thousand-atom autonomous capture technology, has launched core achievements such as the "Zhuifeng" ten-thousand-atom high-speed rearrangement algorithm and the "Bianque" AI quantum error correction decoder, laying a solid foundation for next-generation quantum intelligent computing.

Guided by real-world application scenarios, Haidian is turning AI4S from a concept in papers into a productive tool in factories, hospitals, and laboratories. By building platforms, identifying scenarios, and pooling resources, the district is combining innovative elements into a cohesive force, driving the simultaneous transformation of AI4S into new productive forces in the materials, pharmaceutical, and quantum sectors.

Bearing the Mission: Haidian Constructs an AI4S Innovation Highland

Leveraging its dual advantages in innovation and industry, Haidian is leading the industry trend with the poise of a "lead goose." From restructuring the underlying logic to consolidating fundamental elements and fostering a thriving innovation ecosystem, a series of forward-looking explorations are making Haidian's "practice" in AI4S increasingly clear.

Reshaping the "Research Paradigm": Giving Laboratories "Autonomous Capabilities"

If models are the "brain," then autonomous laboratories are the "hands and feet" of AI4S implementation. Haidian is actively exploring a new human-machine collaborative research paradigm. Targeting advantageous tracks such as innovative drugs, new materials, and synthetic biology, it is laying out a batch of benchmark AI4S autonomous laboratory projects, exploring sustainable pathways for operations, diversified investment, and commercial viability. Simultaneously, it is developing a standardized, replicable autonomous laboratory operating system to promote the intelligent upgrade of traditional laboratories, forming a matrix of innovation with a tiered layout and coordinated development.

Consolidating the "Data Foundation": Building a "Resource-Rich Mine" of Terabyte Scale

Data is the "fuel" for AI4S. Haidian is focusing on building the nation's first multi-source fusion scientific database system at the hundred-terabyte level. It is establishing massive, standardized, high-quality scientific datasets, fully connecting the processes of automatic collection, governance, and application of experimental data to empower intelligent research with high-quality data supply. Leveraging the Beijing High-end Data Annotation Demonstration Base, it supports hosting scientific data annotation competitions to cultivate talent through competition, building a professional data annotation workforce and forming an innovation loop where "algorithms empower scenarios, and scenarios feed back into technology."

Completing the "Commercialization Loop": Accelerating Result Transformation Across the Entire Chain

Result transformation is the "transmission shaft" connecting laboratories and production lines. Haidian is focusing on hot tracks like scientific foundation models, AI + pharmaceuticals, AI + new materials, and AI + quantum, opening up a complete loop from "source innovation to result transformation to industrial clustering," allowing frontier laboratory breakthroughs to reach production lines and markets faster, converting them into a surging force driving industrial upgrading.

Enriching the "Innovation Soil": Building a Multi-Dimensional Innovation Ecosystem

Haidian is planning and constructing AI4S professional incubators, creating one-stop platforms integrating technology R&D and project incubation. It is also planning AI4S industrial clustering zones, establishing an AI4S industry fund, and hosting high-level international scientific intelligence conferences, all aimed at attracting top-tier talent, projects, and capital globally.

Here, the district not only focuses on forward-looking fundamental research and strives for transformative original breakthroughs but also serves as fertile ground for nurturing high-level theoretical talent and interdisciplinary innovation forces, allowing innovation seeds to continuously take root, sprout, and flourish, making Haidian a globally shining innovation landmark. Tang Chao, Deputy Director of the Zhongguancun Science City Management Committee and Vice District Mayor of Haidian, stated that in the future, the district will focus on forward-looking layout to transform traditional scientific research paradigms, collaborate with major regional research and industrial forces, consolidate infrastructure construction, strengthen key technology breakthroughs, foster an open-source and open ecosystem, and accelerate the construction of a scientific intelligence innovation source and industrial highland. The next chapter of scientific intelligence is one we should all eagerly anticipate.