当科研遇到人工智能——来自北京的调查

Core Insights - The Chinese government has issued an opinion to accelerate the implementation of "Artificial Intelligence +" actions, emphasizing the need for new research paradigms driven by AI to enhance scientific discoveries [1] - Beijing is positioned as a leader in AI4S (AI for Science), leveraging its rich educational, technological, and talent resources to foster innovation and industrial transformation [1][5] - The establishment of the Beijing Institute of Scientific Intelligence marks a significant step in integrating AI with scientific research, aiming to create a new research paradigm and infrastructure [3][9] Group 1: AI4S Development and Impact - AI4S is recognized globally as a new paradigm that enhances scientific research efficiency and effectiveness, moving from theoretical concepts to practical applications [2][6] - The DeepFlame Rocket software exemplifies the transition from research to commercial applications in aerospace, significantly reducing simulation times and costs in rocket engine development [4][5] - Beijing has produced significant original achievements in AI4S, including a large atomic model and a new generation of research knowledge databases, contributing to the emergence of innovative companies [5][9] Group 2: Infrastructure and Ecosystem - The Bol Research Space Station serves as a foundational infrastructure for AI4S, addressing key challenges in literature management, interdisciplinary knowledge discovery, and experimental calculations [7][8] - The establishment of a collaborative ecosystem involving over 30 organizations in the OpenLAM project aims to enhance micro-scale design in various industries, including materials and pharmaceuticals [10][11] - The "Action Plan" outlines a roadmap for developing AI4S in Beijing, targeting the establishment of high-quality scientific databases and a competitive industrial cluster by 2027 [12][13] Group 3: Future Directions - The focus on breaking down disciplinary boundaries and enhancing collaboration between research and industry is expected to drive original innovations and improve research efficiency [6][10] - The ongoing development of large atomic models and other AI-driven tools is anticipated to revolutionize traditional research methodologies and accelerate the pace of scientific discovery [11][12] - Beijing's strategic initiatives aim to solidify its position as a hub for scientific intelligence, fostering an open and collaborative innovation ecosystem [13]