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Free Textbook on Deep Learning in Astrophysics Released by AI/ML STIG

7 July 2026

The Artificial Intelligence and Machine Learning Science and Technology Interest Group (AI/ML STIG) is an astrophysics community group formed in 2025 under the NASA Cosmic Origins (COR) Program. The AI/ML STIG aims to accelerate NASA's competitive advantage in AI-enabled space science, build the interdisciplinary workforce essential for next-generation astronomical discoveries, create a model for other NASA programs facing similar upskilling challenges, and establish NASA’s leadership in responsible AI adoption to maximize the science return from its missions by the community.

To this end, the STIG has organized a series of guest lectures from experts in AI and ML in astrophysics and related science and engineering disciplines. Recordings and slides from these lectures can be found on the AI/ML webpage.

These lectures have now been compiled and converted into a free textbook on Deep Learning in Astrophysics. A fuller announcement of the text can be found on the arXiv preprint server.

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This cropped horizontal image has layers of semi-opaque rusty red colored gas and dust that starts at the bottom right and goes toward the top left. There are three prominent pillars rising toward the top left. The left pillar is the largest and widest. The peaks of the second and third pillars are set off in darker shades of brown and have red outlines.