IBM and NASA Just Released an AI That Can Map the Moon Better Than Anything Else Out There
TLDR
- IBM and NASA have released the NASA-IBM Lunar Foundation Model as an open-source tool for lunar science
- The model outperforms existing methods by up to 23% in identifying key surface features on the Moon
- It can detect potential ice deposits, volcanic formations, and craters using multi-mission data
- The model was trained on data from nine instruments across four space missions
- It joins IBM and NASA’s existing Prithvi family of open scientific foundation models
IBM and NASA have launched a new open-source AI model designed to help scientists study the Moon’s surface. The model, called the NASA-IBM Lunar Foundation Model, was announced on September 10, 2026.
What if we could explore the Moon with AI?
Meet the @NASA–@IBM Lunar Foundation Model, a new open‑source AI trained on 17 years of lunar data to map craters, identify geologic features, and even help predict where ice may hide in the Moon’s darkest regions. 🌙 pic.twitter.com/bMWlw9qdU8
- NASA Science (@NASAScience_) September 10, 2026
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