NASA and IBM release open-source lunar foundation model to advance space science
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NASA and IBM Research have launched an open-source Lunar Foundation Model built on 17 years of data from the Lunar Reconnaissance Orbiter. Trained using the SomBench multimodal corpus containing nearly 2 million tile bundles, the AI model improves the prediction of polar ice deposits by up to 22 percent and enhances crater detection to make decades of observation data easier for scientists to use.
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