TY  - GEN
AU  - Wei,Jinlong
AU  - Tao Lau,Alan Pak
AU  - Yi,Lilin
AU  - Giacoumidis,Elias
AU  - Cheng,Qixiang
AU  - Wei,Jinlong
AU  - Tao Lau,Alan Pak
AU  - Yi,Lilin
AU  - Giacoumidis,Elias
AU  - Cheng,Qixiang
TI  - Optics for AI and AI for Optics
SN  - books978-3-03936-399-5
PY  - 2020///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - History of engineering & technology
KW  - bicssc
KW  - light emitting diode
KW  - nonlinearity estimation and compensation
KW  - probabilistic Bayesian learning
KW  - visible light communication
KW  - digital signal processing
KW  - support vector machines
KW  - BCSVM
KW  - nonlinear equalization
KW  - coherent detection
KW  - k-nearest neighbor algorithm
KW  - modulation format identification
KW  - OSNR monitoring
KW  - neural networks
KW  - optical communications
KW  - optimization
KW  - equalizer
KW  - tap estimation
KW  - optical Fast-OFDM
KW  - nonlinearity compensation
KW  - optical fiber communications
KW  - chromatic dispersion
KW  - short-reach communication
KW  - neural network
KW  - hybrid signal processing
KW  - fiber optics communications
KW  - coherent communications
KW  - machine learning
KW  - clustering
KW  - nonlinearity cancellation
KW  - entanglement
KW  - charge qubit
KW  - position-based semiconductor qubits
KW  - cryogenic technologies
KW  - semiconductor photon communication
KW  - Jaynes–Cummings–Hubbard formalism
KW  - deep neural networks
KW  - volterra equalization
KW  - nonlinear systems
KW  - coherent optical communication
KW  - passive optical networks
KW  - nonlinear compensation
KW  - optical transmission
KW  - optical networks
KW  - artificial intelligence
KW  - quality of transmission
KW  - optical performance monitoring
KW  - failure management
KW  - artificial neural networks
KW  - deep neural network
KW  - image classification
KW  - photonic integrated circuits
KW  - semiconductor optical amplifiers
KW  - photonic neural network
KW  - n/a
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/2433
UR  - https://directory.doabooks.org/handle/20.500.12854/68670
ER  -