Memristive Devices for Brain Inspired Computing

This book PDF is perfect for those who love Technology & Engineering genre, written by Sabina Spiga and published by Woodhead Publishing which was released on 12 June 2020 with total hardcover pages 569. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Memristive Devices for Brain Inspired Computing books below.

Memristive Devices for Brain Inspired Computing
Author : Sabina Spiga
File Size : 55,5 Mb
Publisher : Woodhead Publishing
Language : English
Release Date : 12 June 2020
ISBN : 9780081027875
Pages : 569 pages
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Memristive Devices for Brain Inspired Computing by Sabina Spiga Book PDF 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: 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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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

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