Unsupervised Machine Learning for Music Working Group

Unsupervised is a new concert series created by the Machine Learning for Music (ML4M) Working Group – a community of composers and audiovisual artists exploring the creative use of emerging Artificial Intelligence and Machine Learning technologies led by PRiSM (RNCM) Lecturer in Composition, Dr. Sam Salem and Prof. Ricardo Climent, Professor of Interactive Music Composition and Director of NOVARS Research Centre at The University of Manchester. 

ML4M includes postgraduate students from both RNCM and The University of Manchester, as well as guest artists, supported by Machine Learning experts at the Alliance Manchester Business School and PRiSM. 

Click here for more information.