AI/ML STIG Lecture Series
Artificial Intelligence and Machine Learning Science and Technology Interest Group (AI/ML STIG)
Lecture 1: Overview
Location
Virtual
Dates
3 November 2025
4:00pm ET
Community
AI/ML STIG
Type
Seminar
Gaps and Opportunities for AI in the Mathematical and Physical Sciences—and Vice Versa
Speaker
Jesse Thaler, MIT
An overview of how AI is transforming the mathematical and physical sciences, exploring opportunities and strategic priorities for the astronomy and astrophysics community. Based on the NSF Future of AI+MPS Workshop white paper.
Topics Covered
- AI's role in scientific discovery
- Opportunities for astronomy & astrophysics
- Building interdisciplinary AI+MPS communities
- Strategic priorities and future directions
- Education and workforce development
All lecture materials will be posted on our webpage: https://tingyuansen.github.io/NASA_AI_ML_STIG/
You can find the white paper here: https://arxiv.org/abs/2509.02661
Session Recording
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