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This foundation model leverages decades of lunar sensor data to significantly enhance the precision of identifying ice deposits, volcanic features, and craters compared to existing benchmarks. By efficiently processing petabytes of information, it directly accelerates mission planning for sustained human presence on the Moon.

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NASA and IBM’s AI spots lunar ice with 22% better accuracy

Quantum ZeitgeistSeptember 26, 20264 min read

NASA & IBM’s new foundation model improves identification of key features, including potential ice deposits, by up to 22%.

A new artificial intelligence model from NASA and IBM improves the accuracy of identifying key lunar features by up to 22 percent. The NASA-IBM Lunar Foundation Model analyzes petabytes of data collected over decades from lunar sensors and instruments, revealing patterns previously difficult to discern. Researchers can now more efficiently pinpoint potential ice deposits, map volcanic activity, and detect craters with greater precision, supporting plans for a sustained human…

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