NASA Cosmic Origins · AI/ML Science and Technology Interest Group
A hands-on textbook on modern artificial intelligence for astronomy and astrophysics — from autodifferentiation and neural architectures to generative models, simulation-based inference, and autonomous research agents.
This Textbook Edition was curated from the lecture series of the NASA Cosmic Origins AI/ML Science and Technology Interest Group (STIG). We homogenized the original lectures, notebooks, and supporting materials into a consistent chapter format while preserving the executable notebooks and their real outputs.
For the original schedule, recordings, notebooks, slides, and source lecture materials, see the NASA Cosmic Origins AI/ML STIG site.
The arc runs from computational foundations through the full zoo of deep-learning architectures, into generative modeling and inference, reinforcement learning, and the large-language-model agents now reshaping the research workflow — closing with the broader questions of instrumentation, publishing, and scientific understanding.
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