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University of Manchester and RNCM ‘Unsupervised’ project shortlisted for Digital City Awards

Images from new works presented at Unsupervised 2021- University of Manchester and RNCM
Images from new works presented at Unsupervised 2021- University of Manchester and RNCM

The University of Manchester and RNCM ‘Unsupervised’ project has been shortlisted in the category Best Use of Technology- Not For Profit at the 2022 Digital City Awards.

The University of Manchester and RNCM ‘Unsupervised’ project has been shortlisted in the category Best Use of Technology- Not For Profit at the 2022 Digital City Awards.

Unsupervised is a 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 University of Manchester.

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