Core Insights - The "Panshi Scientific Foundation Model" was officially launched on July 26, 2025, aiming to provide robust intelligent support for technological innovation across various fields, leveraging AI to reshape scientific research paradigms [4][11] - The model addresses challenges in the current "AI + Science" research landscape, such as data silos and insufficient reasoning capabilities, by promoting a platform-based and systematic transformation [5][11] Group 1: Model Capabilities - The "Panshi Scientific Foundation Model" is trained on specialized scientific knowledge and data, enabling deep understanding of various scientific modalities, including waves, spectra, and fields [4][7] - It features a heterogeneous mixed expert architecture, integrating proprietary models tailored for common scientific data modalities, and has achieved top performance in international datasets across mathematics, physics, chemistry, materials, and biology [7][9] Group 2: Applications and Efficiency - The model has been applied in multiple disciplines, significantly accelerating research processes, such as achieving over 10 times faster efficiency in drug target discovery in life sciences [9][10] - It supports the automation of particle physics research tasks and enhances the efficiency of high-speed train model calculations in fluid environments [9][10] Group 3: Tools and Ecosystem - The "Panshi Literature Compass" assists researchers in literature review and evaluation, processing 170 million scientific documents and reducing research time from days to minutes [8][11] - The "Panshi Tool Scheduling Platform" allows for the autonomous planning and invocation of over 300 scientific computing tools, improving research workflow efficiency [8][11] Group 4: Collaborative Initiatives - The Chinese Academy of Sciences has initiated the "Scientific Foundation Model Ecological Alliance" plan, collaborating with over 40 research institutions, universities, and enterprises to foster a new ecosystem for "AI + Science" [11]

"为了解决这些难题，中国科学院系统内多家研究所组成研发团队，开展体系化研究，推动'AI+科 学'研究向平台化、体系化转变，成功打造了磐石·科学基础大模型。"中国科学院科技基础能力局副局 长、中国科学院自动化研究所副所长曾大军介绍，该模型就像一个跨学科的"智能操作系统"，可统一管 理数据和模型等资源，调度计算仿真等各类工具，深度赋能"假设提出—方案规划—仿真推演—实验验 证—规律发现"的科研全流程。 "AI+科学"成为新趋势，为解决重大科技难题带来了前所未有的机遇。7月26日，在2025世界人工 智能大会上，中国科学院正式发布磐石·科学基础大模型。该模型是一个专门为科研打造的智能平台， 由专业科学知识和数据训练而成，能深入理解波、谱、场等各种科学数据，并具备深度文献分析、科学 知识推理和科研工具编排能力。 "AI+科学"研究常用两种方式：用专业数据微调通用模型，或自建单一领域专用工具。这带来了科 学数据不互通、专业推理能力不够以及研发生态封闭三大难题。 "目前，磐石·科学基础大模型已经在多个学科领域进行了深入应用，大幅加速了科研进程。"曾大 军举例说，在高能物理领域，北京正负电子对撞机的研究人员依托磐石·科学基 ...