GoKawiil
Tech News
NASA and IBM have jointly published an open-source AI system, along with a compiled dataset drawing on over 30 aligned data layers from nine instruments across four lunar missions. The model merges multiple imaging types, angles, and resolutions to let researchers study the Moon's surface more comprehensively than existing tools allow.
IBM has developed a Lunar Foundation Model designed to process decades of accumulated Moon observation data. The AI system aims to help researchers identify surface hazards, locate resources, and track changes on the lunar terrain as NASA targets returning astronauts to the Moon by 2028.
NASA and IBM have jointly released the Lunar Foundation Model, an AI system trained on decades of lunar observation data, now freely available on Hugging Face. Built alongside what the two say is the first open-source dataset combining imagery from nine instruments across four moon missions, the model is designed to support NASA's Artemis program.
NASA and IBM launched the NASA-IBM Lunar Foundation Model, a free AI system on Hugging Face designed to help scientists study the Moon. Trained on lunar imagery and environmental data, the model can spot likely ice deposits and identify craters more accurately than existing tools like Microsoft's SwinV2-B. It was recently put to a real test when it correctly flagged the impact site of a SpaceX Falcon 9 rocket that crashed into the Moon in August, even though the new crater overlapped an existing one.