arXiv:2509.02661cs.AIastro-ph.IM2025-09被引 3

AI与数理科学深度融合,共促科研新范式

The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)

  • 推动AI与数理科学双向赋能,实现技术与理论互促
  • 构建跨学科研究共同体,培育复合型人才
  • 适合关注科学智能的学者、政策制定者及教育机构

本文基于2025年3月美国国家科学基金会(NSF)举办的AI与数学物理科学(MPS)研讨会成果,总结了当前(2025年春夏季)数理科学领域对AI发展的集体视角。随着人工智能与数学、物理、化学、天文学及材料研究等领域的融合日益紧密,亟需主动布局,强化双向协同:一方面利用AI加速科学发现,另一方面借助基础科学原理优化AI发展。为此提出三项战略重点:(1)支持AI+MPS双向研究;(2)建设跨学科研究共同体;(3)推动教育与人才培养。最后呼吁资助机构、高校及研究者共同行动,使数理科学界在AI驱动的科学革命中发挥引领作用。

原文摘要 · Abstract (English)

This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 with the goal of understanding how the MPS domains (Astronomy, Chemistry, Materials Research, Mathematical Sciences, and Physics) can best capitalize on, and contribute to, the future of AI. We present here a summary and snapshot of the MPS community's perspective, as of Spring/Summer 2025, in a rapidly developing field. The link between AI and MPS is becoming increasingly inextricable; now is a crucial moment to strengthen the link between AI and Science by pursuing a strategy that proactively and thoughtfully leverages the potential of AI for scientific discovery and optimizes opportunities to impact the development of AI by applying concepts from fundamental science. To achieve this, we propose activities and strategic priorities that: (1) enable AI+MPS research in both directions; (2) build up an interdisciplinary community of AI+MPS researchers; and (3) foster education and workforce development in AI for MPS researchers and students. We conclude with a summary of suggested priorities for funding agencies, educational institutions, and individual researchers to help position the MPS community to be a leader in, and take full advantage of, the transformative potential of AI+MPS.

AI+科学跨学科科研范式人才培育

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