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(Ebook) Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and ... Series in Electronic and Optical Materials) by Sabina Spiga (editor), Abu Sebastian (editor), Damien Querlioz (editor), Bipin Rajendran (editor) ISBN 9780081027820, 0081027826

  • SKU: EBN-11208870
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Instant download (eBook) Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and ... Series in Electronic and Optical Materials) after payment.
Authors:Sabina Spiga (editor), Abu Sebastian (editor), Damien Querlioz (editor), Bipin Rajendran (editor)
Pages:564 pages.
Year:2020
Editon:1
Publisher:Woodhead Publishing
Language:english
File Size:15.66 MB
Format:pdf
ISBNS:9780081027820, 0081027826
Categories: Ebooks

Product desciption

(Ebook) Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and ... Series in Electronic and Optical Materials) by Sabina Spiga (editor), Abu Sebastian (editor), Damien Querlioz (editor), Bipin Rajendran (editor) ISBN 9780081027820, 0081027826

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.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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