“In July, a team of scientists from Queen Mary University of London reported they had trained a neural network to determine musical genres with 75% accuracy by feeding it with 6,600 songs in three genres: ballad, dance, and hip-hop. Then they tore apart the layers of the computer’s neural network in order to see what the network learned at each layer when the scientists exposed it to songs from Bach and Eminem.”