NASA和IBM的17年之久的月球模型开源了
NASA和IBM发布开源月球基础模型，基于17年的轨道器数据训练，以改进月球科学和冰沉积预测。
nasa and ibm research have developed an open-source lunar foundation model that utilizes 17 years of observation data from the lunar reconnaissance orbiter. the model, trained on nearly 2 million tile bundles across 11 modalities, can predict ice deposits at the poles and detect craters. it was trained from scratch using sombench, a large co-registered multimodal lunar corpus. the model provides a foundation for lunar science, making decades of lunar observation data usable for machine learning.