AI learns to read ancient Japanese pottery with 93% accuracy

Classifying ancient pottery has always depended on the trained judgment of an archaeologist. Identifying the subtle differences between piece types takes years of experience, and two experts will not always agree. Now, a team including researchers at Nagoya University in Japan has developed a deep learning model that can classify pottery by shape with high accuracy, using three-dimensional scan data rather than photographs or drawings.