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Release of open AI model trained on 17 years of lunar data maps ice, craters and volcanoes

Published

11 September 2026

Topic

opportunities

Sectors

AI & ML

Geography

United States

Source

Read at phys.org

Verified

Fusion42 · 12 September 2026 · Fusion42 review

NASA and IBM have released an open-source AI foundation model trained on 17 years of Lunar Reconnaissance Orbiter data, enabling rapid mapping and analysis of the moon's surface features including ice, craters, and volcanic formations.

This Wire brief sits within Fusion42's coverage of AI & ML, and 2 sources have reported it between 10 Sep 2026 and 11 Sep 2026.

◆ The Wire takeaway

AI is removing the bottleneck in analysing lunar data, opening a new door for you to build tools that speed up space science missions. This release sets a precedent for using open AI as a base to accelerate research and commercial use of lunar information.

Coverage

2 sources · first reported 10 Sep 2026 · latest 11 Sep 2026

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Topics

AI & MLlunar-dataopen-source-ainasaibm-collaborationspace-tech