Neuromorphic Computing for Edge Applications
A special issue of Journal of Low Power Electronics and Applications (ISSN 2079-9268).
Deadline for manuscript submissions: 30 June 2025 | Viewed by 210
Special Issue Editors
Interests: neuromorphic computing; SNNs; event-driven perception; low-energy computing; embedded systems; sensor fusion
Special Issue Information
Dear Colleagues,
Our society’s growing demand to integrate artificial intelligence in edge devices poses a significant challenge to traditional computing systems, which struggle to maintain low-power requirements while performing online real-time computational tasks. Neuromorphic computing, taking inspiration from biological computational principles, offers a valid low-energy alternative for real-time edge applications, bridging novel engineering principles with artificial intelligence.
This Special Issue aims to present the latest advances in low-energy neuromorphic technologies and algorithms for edge computing applications. Contributions in the form of original research articles, comprehensive review papers, and case studies are all welcome.
This Special Issue will cover topics including, but not limited to, the following:
- Energy-efficient neuromorphic architectures for edge computing applications;
- Event-based sensing technologies and algorithms;
- Low-power sensor fusion applications;
- Biologically inspired algorithms for low-power edge applications;
- Emerging technologies and concepts for low-energy computing;
- In/near-memory computing paradigms for edge applications;
- Reversible neuromorphic architectures.
Dr. Luca Peres
Dr. Oliver Rhodes
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- neuromorphic computing
- low-energy computing
- event-based sensing
- spiking neural networks
- edge computing
- IoT
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