Embedded AI for NIME: Challenges and Opportunities

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Pelniski Ramos, Teresa and Shepardson, Victor and Symons, Steve and Santiago Caspe, Franco and Benito, Adan L and Armitage, Jack and Kiefer, Chris and Fiebrink, Rebecca and Magnusson, Thor and McPherson, Andrew (2022) Embedded AI for NIME: Challenges and Opportunities. In: International Conference on New Interfaces for Musical Expression, 28 June - 1 July 2022, Waipapa Taumata Rau, Aotearoa.

Type of Research:	Conference, Symposium or Workshop Item
Creators:	Pelniski Ramos, Teresa and Shepardson, Victor and Symons, Steve and Santiago Caspe, Franco and Benito, Adan L and Armitage, Jack and Kiefer, Chris and Fiebrink, Rebecca and Magnusson, Thor and McPherson, Andrew
Description:	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.
Official Website:	https://nime2022.org/
Your affiliations with UAL:	Research Centres/Networks > Institute for Creative Computing
Date:	22 June 2022
Related Websites:	https://embedded-ai-for-nime.github.io/, https://nime.pubpub.org/pub/rwr2c3zs/release/1
Related Websites:	https://embedded-ai-for-nime.github.io/ https://nime.pubpub.org/pub/rwr2c3zs/rel...
Event Location:	Waipapa Taumata Rau, Aotearoa
Date Deposited:	02 Sep 2022 14:52
Last Modified:	02 Sep 2022 14:52
Item ID:	18809
URI:	https://ualresearchonline.arts.ac.uk/id/eprint/18809

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