Optics for AI and AI for Optics

• Other Authors: Wei, Jinlong (Editor), Tao Lau, Alan Pak (Editor), Yi, Lilin (Editor), Giacoumidis, Elias (Editor), Cheng, Qixiang (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: History of engineering & technology; light emitting diode; nonlinearity estimation and compensation; probabilistic Bayesian learning; visible light communication; digital signal processing; support vector machines; BCSVM; nonlinear equalization; coherent detection; k-nearest neighbor algorithm; modulation format identification; OSNR monitoring; neural networks; optical communications; optimization; equalizer; tap estimation; optical Fast-OFDM; nonlinearity compensation; optical fiber communications; chromatic dispersion; short-reach communication; neural network; hybrid signal processing; fiber optics communications; coherent communications; machine learning; clustering; nonlinearity cancellation; entanglement; charge qubit; position-based semiconductor qubits; cryogenic technologies; semiconductor photon communication; Jaynes-Cummings-Hubbard formalism; deep neural networks; volterra equalization; nonlinear systems; coherent optical communication; passive optical networks; nonlinear compensation; optical transmission; optical networks; artificial intelligence; quality of transmission; optical performance monitoring; failure management; artificial neural networks; deep neural network; image classification; photonic integrated circuits; semiconductor optical amplifiers; photonic neural network; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

Artificial intelligence is deeply involved in our daily lives via reinforcing the digital transformation of modern economies and infrastructure. It relies on powerful computing clusters, which face bottlenecks of power consumption for both data transmission and intensive computing. Meanwhile, optics...