NASA Uses AI to Read the Moon Before Return to Its Surface
NASA and IBM have released an open-source AI foundation model trained on 17 years of lunar data to assist scientists in mapping craters and identifying geological features. The project aims to streamline lunar research and support future crewed missions by making massive datasets more accessible.
Why it matters
This collaboration demonstrates the practical application of AI in accelerating scientific discovery and space exploration through open-source data tools.
Credit: NASA Getting your Trinity Audio player ready... NASA’s Lunar Reconnaissance Orbiter has spent more than 17 years mapping the Moon, providing much of the data now used to train the NASA-IBM Lunar Foundation Model, an AI system designed to help scientists identify craters, potential ice deposits and other lunar features. Credit: NASA NASA and IBM Research have launched an open-source artificial intelligence model to extract new insights from nearly two decades of lunar data, aiding future crewed missions to the Moon.
Announced Sept. 10, 2026, the NASA-IBM Lunar Foundation Model helps scientists map craters, locate potential ice deposits, and identify geological features. Co-developed with academic institutions, it ranks among the first open-source AI models dedicated to lunar science. NASA hosted the model on Hugging Face and published the full source code on GitHub for public testing.
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