Machine learning models can identify jazz pianists from recordings and reveal the musical "fingerprints" that make individual performers recognizable, according to a study investigating 20 famous jazz pianists. The research, published in Nature Machine Intelligence, could offer insight into artist attribution and style, cultural heritage, and music education.