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]