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dc.contributor.editorWei, Jinlong
dc.contributor.editorTao Lau, Alan Pak
dc.contributor.editorYi, Lilin
dc.contributor.editorGiacoumidis, Elias
dc.contributor.editorCheng, Qixiang
dc.date.accessioned2021-05-01T15:26:30Z
dc.date.available2021-05-01T15:26:30Z
dc.date.issued2020
dc.identifierONIX_20210501_9783039363988_416
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/68670
dc.description.abstractArtificial 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherlight emitting diode
dc.subject.othernonlinearity estimation and compensation
dc.subject.otherprobabilistic Bayesian learning
dc.subject.othervisible light communication
dc.subject.otherdigital signal processing
dc.subject.othersupport vector machines
dc.subject.otherBCSVM
dc.subject.othernonlinear equalization
dc.subject.othercoherent detection
dc.subject.otherk-nearest neighbor algorithm
dc.subject.othermodulation format identification
dc.subject.otherOSNR monitoring
dc.subject.otherneural networks
dc.subject.otheroptical communications
dc.subject.otheroptimization
dc.subject.otherequalizer
dc.subject.othertap estimation
dc.subject.otheroptical Fast-OFDM
dc.subject.othernonlinearity compensation
dc.subject.otheroptical fiber communications
dc.subject.otherchromatic dispersion
dc.subject.othershort-reach communication
dc.subject.otherneural network
dc.subject.otherhybrid signal processing
dc.subject.otherfiber optics communications
dc.subject.othercoherent communications
dc.subject.othermachine learning
dc.subject.otherclustering
dc.subject.othernonlinearity cancellation
dc.subject.otherentanglement
dc.subject.othercharge qubit
dc.subject.otherposition-based semiconductor qubits
dc.subject.othercryogenic technologies
dc.subject.othersemiconductor photon communication
dc.subject.otherJaynes–Cummings–Hubbard formalism
dc.subject.otherdeep neural networks
dc.subject.othervolterra equalization
dc.subject.othernonlinear systems
dc.subject.othercoherent optical communication
dc.subject.otherpassive optical networks
dc.subject.othernonlinear compensation
dc.subject.otheroptical transmission
dc.subject.otheroptical networks
dc.subject.otherartificial intelligence
dc.subject.otherquality of transmission
dc.subject.otheroptical performance monitoring
dc.subject.otherfailure management
dc.subject.otherartificial neural networks
dc.subject.otherdeep neural network
dc.subject.otherimage classification
dc.subject.otherphotonic integrated circuits
dc.subject.othersemiconductor optical amplifiers
dc.subject.otherphotonic neural network
dc.subject.othern/a
dc.titleOptics for AI and AI for Optics
dc.typebook
oapen.identifier.doi10.3390/books978-3-03936-399-5
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783039363988
oapen.relation.isbn9783039363995
oapen.pages162
oapen.place.publicationBasel, Switzerland


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