AI accurately predicts hit songs using brain data analysis.

Researchers have developed a machine learning model that uses neural responses to predict the success of songs with 97% accuracy, termed 'neuroforecasting'. Participants listened to a set of songs while their neurophysiologic responses were monitored, generating data that helped the machine learning model determine potential hits. This approach can help streaming services efficiently identify popular new songs for their playlists. The researchers believe their method may be applicable beyond song identification, possibly predicting hits in movies and TV shows.