Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models

Miltiadis Moralis-Pegios; Angelina Totovic; Apostolos Tsakyridis; George Giamougiannis; George Mourgias-Alexandris; George Dabos; Nikolaos Passalis; Manos Kirtas; Anastasios Tefas; Nikos Pleros

doi:10.1364/OFC.2022.M1G.4

Optical Fiber Communication Conference (OFC) 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper M1G.4
•https://doi.org/10.1364/OFC.2022.M1G.4

Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models

Miltiadis Moralis-Pegios, Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, George Dabos, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, and Nikos Pleros

Optical Fiber Communication Conference 2022

San Diego, California United States
6–10 March 2022
ISBN: 978-1-55752-466-9

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Photonic Neuromorphic Computing (M1G)

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M. Moralis-Pegios, A. Totovic, A. Tsakyridis, G. Giamougiannis, G. Mourgias-Alexandris, G. Dabos, N. Passalis, M. Kirtas, A. Tefas, and N. Pleros, "Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models," in Optical Fiber Communication Conference (OFC) 2022, S. Matsuo, D. Plant, J. Shan Wey, C. Fludger, R. Ryf, and D. Simeonidou, eds., Technical Digest Series (Optica Publishing Group, 2022), paper M1G.4.

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Abstract

We summarize recent developments in neuromorphic photonics, including our work and the advances it brings beyond the state-of-the-art demonstrators in terms of architectures, technologies, and training models for a synergistic hardware/software codesign approach.

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