Neuromorphic Devices for Brain-inspired Computing: Artificial Intelligence, Perception, and Robotics (EPUB) - Afkebooks - Medical ebooks for Doctors

Neuromorphic Devices for Brain-inspired Computing: Artificial Intelligence, Perception, and Robotics (EPUB)

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published date: 20 Feb 24

By Qing Wan, Yi Shi

Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence

In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications.

Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes:

  • A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms
  • Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors
  • Practical discussions of neuromorphic devices based on chalcogenide and organic materials
  • In-depth examinations of neuromorphic computing and perceptual systems with emerging devices

Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.

 

Product Details

  • Publisher ‏ : ‎ Wiley-VCH; 1st edition (May 16, 2022)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 256 pages
  • ISBN-10 ‏ : ‎ 3527349790
  • ISBN-13 ‏ : ‎ 978-3527349791

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