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Digital Computing Continuum Abstraction for Neuromorphic Systems
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-5662-825X
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-5408-0008
Applied Digitalisation, Industrial Systems, RISE Research Institutes of Sweden, Kista, Sweden.ORCID iD: 0000-0003-3932-4144
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-4031-2872
2024 (English)In: 2024 International Conference on Neuromorphic Systems (ICONS), IEEE, 2024, p. 177-184Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2024. p. 177-184
Keywords [en]
Neuromorphic computing, Continuum computing, Event-driven, Non–von Neumann, Interoperability, Microservices, Frugal artificial intelligence
National Category
Computer Sciences
Research subject
Machine Learning; Cyber-Physical Systems
Identifiers
URN: urn:nbn:se:ltu:diva-110952DOI: 10.1109/ICONS62911.2024.00033ISI: 001462433900025Scopus ID: 2-s2.0-85214661835ISBN: 979-8-3503-6866-6 (print)ISBN: 979-8-3503-6865-9 (electronic)OAI: oai:DiVA.org:ltu-110952DiVA, id: diva2:1918064
Conference
2024 International Conference on Neuromorphic Systems (ICONS), July 30 - August 02, 2024, Arlington, USA
Funder
Vinnova, 2023-01363The Kempe Foundations, JCSMKJF23-0003
Note

ISBN for host publication: 979-8-3503-6865-9;

Funder: Jubileumsfonden (LTU-1855-2023);

Available from: 2024-12-04 Created: 2024-12-04 Last updated: 2025-11-28Bibliographically approved

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Sandin, FredrikBodin, UlfLindgren, AndersSchelén, Olov

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