Optics for AI and AI for Optics

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...

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Другие авторы:	Wei, Jinlong (Редактор), Tao Lau, Alan Pak (Редактор), Yi, Lilin (Редактор), Giacoumidis, Elias (Редактор), Cheng, Qixiang (Редактор)
Формат:	Глава книги
Опубликовано:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Предметы:	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
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Optics for AI and AI for Optics

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