Chinese University of Hong Kong built machine learning accelerates the search for promising Moon sites for energy, mineral resources

Chinese University of Hong Kong built machine learning accelerates the search for promising Moon sites for energy, mineral resources A Moon-scanning method that can automatically classify important lunar features from telescope images could significantly improve the efficiency of selecting sites for exploration. There is more than meets the eye to picking a landing or exploration site on the Moon. The visible area of the lunar surface is larger than Russia and is pockmarked by thousands of craters and crisscrossed by canyon-like rilles. The choice of future landing and exploration sites may come down to the most promising prospective locations for…