Presentation
10 March 2020 Advances in neuromorphic photonics (Conference Presentation)
B. J. Shastri, T. Ferreira de Lima, A. N. Tait, B. A. Marquez, H. T. Peng, C. Huang, V. J. Sorger, P. R. Prucnal
Author Affiliations +
Abstract
Neuromorphic photonics is an emerging field at the nexus of photonics and neuroscience, which combines the advantages of optics and electronics. By combining the high bandwidth and efficiency of photonic devices with the reconfigurability and parallelism of optical architectures, photonic processors have the potential to be faster than state-of-the-art electronic processors while consuming less energy per computation. We will look at the traditional challenges of photonic information processing, describe some photonic neural-network approaches, discuss their applications in neuromorphic computing and machine learning, and talk about the scalability of these platforms.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. J. Shastri, T. Ferreira de Lima, A. N. Tait, B. A. Marquez, H. T. Peng, C. Huang, V. J. Sorger, and P. R. Prucnal "Advances in neuromorphic photonics (Conference Presentation)", Proc. SPIE 11283, Integrated Optics: Devices, Materials, and Technologies XXIV, 1128314 (10 March 2020); https://doi.org/10.1117/12.2554476
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