Guest Editorial: Neuromorphic Computing Technologies for Consumer Electronics

Dong, Z., Lu, P. orcid.org/0000-0002-0199-3783, Lai, C.S. et al. (2 more authors) (2026) Guest Editorial: Neuromorphic Computing Technologies for Consumer Electronics. IEEE Transactions on Consumer Electronics. ISSN: 0098-3063

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Item Type: Article
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Copyright, Publisher and Additional Information:

This is an author produced version of an article published in IEEE Transactions on Consumer Electronics made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Special issues and sections, Neuromorphic engineering, Neurons, Electrons, Artificial intelligence, Smart cities, Machine learning, Memristors
Dates:
  • Published (online): 11 February 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Date Deposited: 22 Apr 2026 15:28
Last Modified: 22 Apr 2026 22:16
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: 10.1109/tce.2026.3663582
Open Archives Initiative ID (OAI ID):

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