NASA AI/ML Science & Technology Interest Group
Building AI literacy for astronomical research through stackable, bite-sized modular training designed for the astronomy community.
Weekly sessions resume Monday, September 14, 2026 at 4:00 PM ET. Topics and speakers will be announced as they are confirmed.
A NASA initiative to bring AI into astronomy
NASA's Cosmic Origins Program
One of the three programs in NASA's Astrophysics division, Cosmic Origins studies how the universe's galaxies, stars, and cosmic structure formed and evolved — the science legacy of Hubble and the road toward the future Habitable Worlds Observatory.
NASA Cosmic Origins
Deep Learning for Astrophysics
The lecture series, curated into a single, freely available textbook — running from computational foundations and deep-learning architectures through generative modeling and inference to large-language-model agents. The notebook chapters are runnable, with their original outputs preserved, and the exercises use real astronomical data.
A program built for working researchers
Every session, recorded and free
All lectures are recorded and hosted on the NASA Cosmic Origins Program, with a video embedded in each lecture. Learn live on Monday afternoons, or on your own schedule.
- Weekly one-hour lectures, fully recorded
- Embedded video on every lecture
- Open to the international community
Explore the growing lecture library
One continuous collection of recordings, summaries, and materials from the STIG lecture series. New 2026–2027 lectures will be added here as the program is confirmed.
All Lectures
25 lectures in the libraryLarge Language Models as Autonomous Agents
Deep Learning Frameworks
Neural Network Basics
Physics-Inspired Networks
Generative Models
Ethics and Philosophy of Science
Reinforcement Learning
AI Opportunities at NASA
Leadership across the series
Meet the current council and revisit the inaugural-year team.
2026–2027 Leadership Council
Co-chairs and working council for the upcoming lecture year.
Co-Chair
Co-Chair
Advisory Council
Senior advisors supporting the direction and continuity of the program.
For inquiries, please contact: ting.74@osu.edu
Speakers and leaders from leading institutions
How to participate
Become a member
Open to the national and international community without regard to institutional affiliation, education, or career status. Astronomers, astrophysicists, data scientists, and anyone curious about AI in astronomy are welcome.
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