Efficiently Unraveling Lunar Craters

Researchers have demonstrated that machine learning can be used to estimate the ages and densities of lunar craters, providing valuable insights into the moon's impact history. By training an algorithm on over 50,000 images of previously characterized craters, the researchers were able to improve our understanding of the moon's surface. However, the algorithm's accuracy was affected by lighting conditions and the presence of rocks or buried craters. With careful oversight, machine learning can offer a wealth of information about lunar craters.