Embedded AI for NIME: Challenges and Opportunities
Teresa Pelinski, Victor Shepardson, Steve Symons, Franco Caspe, Adán L. Benito Temprano, Jack Armitage, Chris Kiefer, Rebecca Fiebrink, Thor Magnusson, Andrew McPherson · 2022
Despite recent advancements in low-resource computing hardware, such as microcontrollers or single board computers, the deployment of machine learning or symbolic artificial intelligence (AI) techniques still presents several technical challenges and higher-level design constraints. With this workshop presented at the International Conference on New Interfaces for Musical Expression (NIME) 2022, we aim to articulate these challenges in the context of NIME and forge a community of embedded AI for NIME practitioners through a series of talks, demos and collaborative discussions.