IBM and Nasa Unveil AI Model to Map Lunar Ice and Craters

IBM and Nasa have launched an open-source AI model to help scientists analyze decades of lunar observation data. The Nasa-IBM Lunar Foundation Model is a publicly available tool designed to study the Moon, trained on over 30 layers of data collected by nine instruments on four Nasa missions.

The model can identify potential ice deposits on the Moon's permanently shadowed regions, map craters for safe landing sites, and study volcanic features. In benchmark tests, it accurately identified key lunar surface features up to 23% more effectively than widely used methods.

Lunar ice is a valuable resource for future space missions, indicating the presence of water and oxygen essential for a human presence on the Moon and Mars. Nasa's Artemis program plans to return astronauts to the Moon in 2028, testing new technology for a sustained lunar presence and future Mars missions.