In recent years, there has been a great deal of academic interest on applying Deep Learning to creative tasks such as for generating texts, images or music with fascinating results. Technically speaking, Deep Learning models can only learn the statistics of the data. Thus, they often can learn relationships in the data that human observers have not been aware of, and can therefore serve as a new source of inspiration for human creativity. This workshop focuses on current technical approaches for automatic music generation.
Biography:
Ali Nikrang (AT)
Ali Nikrang is a Key Researcher & Artist in Ars Electronica Futurelab. He has his background in both computer science (Johannes Kepler university in Linz) and classical music (composition and piano performance, university Mozarteum in Salzburg).
His research interest includes creative and interactive applications of artificial intelligence systems.
https://ars.electronica.art/futurelab/team/ali-nikrang/
