NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science

NASA and IBM have unveiled the Lunar Foundation Model, one of the first open-source AI models for lunar science. This model was trained on nearly 2 million tile bundles, primarily from 17 years of Lunar Reconnaissance Orbiter data, significantly reducing errors in predicting polar ice deposits. This model represents a significant advancement in lunar science, providing researchers with a powerful tool for more accurate lunar studies. Its foundation on precise data collected from lunar orbit enhances its capability to deliver reliable predictions.