Scientists use AI and unconscious brain activity to identify hit songs with shockingly high accuracy

A team of scientists recently found they could predict which songs would become popular hits by measuring people’s brain activity while they listened to music and then analyzing the data using artificial intelligence. The models based on neurophysiologic measures provided significantly more accurate predictions compared to relying on people’s self-reported preferences. Their new study has been published in Frontiers in Artificial Intelligence. Streaming services like Spotify and Pandora have invested in technologies to identify and introduce new music tailored to subscribers’ existing playlist...