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NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science
NASA and IBM have released the Lunar Foundation Model, one of the first open-source AI models for lunar science. Trained on nearly 2 million tile bundles, mostly from 17 years of Lunar Reconnaissance Orbiter data, it cuts the error in predicting polar ice deposits.
The NASA-IBM Lunar Foundation Model makes decades of lunar observation data usable for machine learning. It's especially strong at predicting ice deposits at the poles and detecting craters.
"NASA has spent decades building an extraordinary scientifi... [6193 chars]
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