Feedback

X
Optics for AI and AI for Optics
0 Ungluers have Faved this Work
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.

This book is included in DOAB.

Why read this book? Have your say.

You must be logged in to comment.

Rights Information

Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.

Downloads

This work has been downloaded 155 times via unglue.it ebook links.
  1. 7 - pdf (CC BY) at Unglue.it.
  2. 99 - pdf (CC BY) at res.mdpi.com.

Keywords

  • artificial intelligence
  • Artificial Neural Networks
  • BCSVM
  • charge qubit
  • chromatic dispersion
  • Clustering
  • coherent communications
  • coherent detection
  • coherent optical communication
  • cryogenic technologies
  • deep neural network
  • deep neural networks
  • Digital signal processing
  • entanglement
  • equalizer
  • failure management
  • fiber optics communications
  • History of engineering & technology
  • hybrid signal processing
  • image classification
  • Jaynes–Cummings–Hubbard formalism
  • k-nearest neighbor algorithm
  • light emitting diode
  • Machine learning
  • modulation format identification
  • n/a
  • Neural Network
  • neural networks
  • nonlinear compensation
  • nonlinear equalization
  • Nonlinear systems
  • nonlinearity cancellation
  • nonlinearity compensation
  • nonlinearity estimation and compensation
  • Optical communications
  • optical Fast-OFDM
  • optical fiber communications
  • optical networks
  • optical performance monitoring
  • optical transmission
  • optimization
  • OSNR monitoring
  • passive optical networks
  • photonic integrated circuits
  • photonic neural network
  • position-based semiconductor qubits
  • probabilistic Bayesian learning
  • quality of transmission
  • Semiconductor optical amplifiers
  • semiconductor photon communication
  • short-reach communication
  • support vector machines
  • tap estimation
  • Technology, engineering, agriculture
  • Technology: general issues
  • visible light communication
  • volterra equalization

Links

DOI: 10.3390/books978-3-03936-399-5

Editions

edition cover

Share

Copy/paste this into your site: