By Neuroscience News
Researchers developed a machine learning model that uses neural responses to predict the success of songs with 97% accuracy.
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 breakthrough approach, termed 'neuroforecasting', can help streaming services efficiently identify popular new songs for their playlists.
The researchers believe their method, despite certain limitations, may be applicable beyond song identification, possibly predicting hits in movies and TV shows.