Memristive Devices for Brain-Inspired Computing
  • Author : Sabina Spiga
  • Release Date : 12 June 2020
  • Publisher : Woodhead Publishing
  • Genre : Technology & Engineering
  • Pages : 564
  • ISBN 13 : 9780081027875

Memristive Devices for Brain-Inspired Computing Book Summary

Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. Provides readers an overview of four key concepts in this emerging research topic including materials and device aspects, algorithmic aspects, circuits and architectures and target applications Covers a broad range of applications, including brain-inspired computing, computational memory, deep learning and spiking neural networks Includes perspectives from a wide range of disciplines, including materials science, electrical engineering and computing, providing a unique interdisciplinary look at the field

Memristive Devices for Brain Inspired Computing

Memristive Devices for Brain Inspired Computing

Author : Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran
Publisher : Woodhead Publishing
Genre : Technology & Engineering
Total View : 9298 Views
File Size : 55,8 Mb
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Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, ...

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Publisher : John Wiley & Sons
Genre : Technology & Engineering
Total View : 7552 Views
File Size : 51,8 Mb
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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 ...

Neuromorphic Devices for Brain inspired Computing

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Publisher : John Wiley & Sons
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Total View : 3751 Views
File Size : 45,6 Mb
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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 ...

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Total View : 386 Views
File Size : 43,5 Mb
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Publisher : Academic Press
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File Size : 43,5 Mb
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Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and ...

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Publisher : MDPI
Genre : Technology & Engineering
Total View : 2712 Views
File Size : 46,7 Mb
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Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network ...