Students use AI to find possible cave entrances on Moon

Artificial intelligence (AI) has been used to find two previously undiscovered possible cave entrances on the Moon, which could support human survival on future space missions. Daniel Le Corre, a PhD researcher at the University of Kent, surveyed less than 0.3% of the lunar surface before finding the two pits. The South Marius Hills Pit, which the university said was previously overlooked by researchers, is in an area thought to be rich in lava tubes, while the Bel'kovich A Pit is close to the Moon's north pole and more likely to be a source of water. The pits were detected using an AI model that was trained to scan publicly available Nasa images and identify pits based on their distinctive shape. The AI model is named Essa, which is short for entrances to sub-surface areas and a nod to the Cornish name of Mr Le Corre's hometown, Saltash.