The PhD course on Musically Embodied Machine Learning took place in January 2025 with Dr. Chris Kiefer, hosted by the Sound & Music Computing research group.
Students explored the creative possibilities of machine learning when embedded within musical instruments. If an instrument can learn and adapt with its player, how might this change musical practices? How do we adapt ML technology so that it can learn in-situ within an instrument? How do we design simplified interfaces to machine learning that become part of a musical instrument? These are the sorts of questions being explored by the Musically Embodied Machine Learning project. The PhD course will take place in both the CreaTech and Augmented Performance Labs. External funding thanks to the Danish Data Science Academy.
