Machine-learning analysis tracks the evolution of 16th-century European astronomical thought

A team of computer scientists, astronomers and historians in Berlin has used machine-learning applications to learn more about the evolutionary history of European astronomical thought in the 15th and 16th centuries. In their study published in the journal Science Advances, the group trained machine-learning applications to make sense of hand-written texts, graphs, charts and other data from textbooks of the era.