New Progress in Photonic Neural Networks
A special issue of Photonics (ISSN 2304-6732).
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 204
Special Issue Editors
Interests: neuromorphic photonics; optical signal processing; linear optics
Special Issues, Collections and Topics in MDPI journals
Interests: neuromorphic photonics; optical interconnects; optical switching
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, the resurgence of interest in Deep Neural Networks (DNNs) and Artificial Intelligence (AI) has triggered a new era of compute-demanding applications. With current projections forecasting that the computational power requirements will double every 4–6 months, in conjunction with the fact that Moore's law is slowing down, new technologies and special-purpose hardware accelerators need to be developed in order to sustain the massive compute growth. Photonic computing is a promising candidate to catalyze and become the computing hardware solution, since it inherently provides all the exceptional primitives of light: high-bandwidth, low-power and low-latency. Building upon these benefits, many demonstrations have been published over the last few years, showing significant progress on Photonic Neural Networks (PNNs). To move forward and strengthen this field, we encourage you to submit your work in this Special Issue. Specifically, the Special Issue focuses on:
- Photonic neuromorphic computing;
- Photonic architectures for accelerating matrix-vector multiplication operations;
- Optical/electro-optical components for implementing non-linear activation functions;
- Application challenges and opportunities of photonic neural networks.
Dr. Apostolos Tsakyridis
Dr. Miltiadis Moralis-Pegios
Guest Editors
Manuscript Submission Information
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