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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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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online Access:ONIX_20210501_9783039363988_416
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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.

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