Kavli Affiliate: Risa Wechsler
| First 5 Authors: Andrew Ferguson, Andrew Ferguson, , ,
| Summary:
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.
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