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. Each chapter links to the recording of its original lecture.
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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