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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Bibliographic Details
Other Authors:	Wei, Jinlong (Editor), Tao Lau, Alan Pak (Editor), Yi, Lilin (Editor), Giacoumidis, Elias (Editor), Cheng, Qixiang (Editor)
Format:	Book Chapter
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:	Get Fullteks DOAB: description of the publication
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Summary:	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 (especially optical communications, which underpin today's telecommunications) is penetrating short-reach connections down to the chip level, thus meeting with AI technology and creating numerous opportunities. This book is about the marriage of optics and AI and how each part can benefit from the other. Optics facilitates on-chip neural networks based on fast optical computing and energy-efficient interconnects and communications. On the other hand, AI enables efficient tools to address the challenges of today's optical communication networks, which behave in an increasingly complex manner. The book collects contributions from pioneering researchers from both academy and industry to discuss the challenges and solutions in each of the respective fields.
Physical Description:	1 electronic resource (162 p.)
ISBN:	books978-3-03936-399-5 9783039363988 9783039363995
Access:	Open Access

Optics for AI and AI for Optics

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