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Phase Change Memory: From Devices to Systems (Synthesis Lectures on Computer Architecture)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Phase Change Memory : From Devices to Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Phase Change Memory : From Devices to Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 66.44
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Add to basketPaperback. Condition: Brand New. 120 pages. 9.00x7.25x0.25 inches. In Stock.
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Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and . Series in Electronic and Optical Materials)
Book 138 of 203: Woodhead Publishing Series in Electronic and Optical MaterialsUS$ 249.86
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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
Book 138 of 203: Woodhead Publishing Series in Electronic and Optical MaterialsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Taschenbuch. Condition: Neu. Memristive Devices for Brain-Inspired Computing | From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks | Sabina Spiga (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Woodhead Publishing | EAN 9780081027820 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and ... Series in Electronic and Optical Materials)
Book 138 of 203: Woodhead Publishing Series in Electronic and Optical MaterialsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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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
Book 138 of 203: Woodhead Publishing Series in Electronic and Optical MaterialsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Phase Change Memory
Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2011
ISBN 10: 3031006070 ISBN 13: 9783031006074
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. As conventional memory technologies such as DRAM and Flash run into scaling challenges, architects and system designers are forced to look at alternative technologies for building future computer systems. This synthesis lecture begins by listing the require.
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Condition: new. Questo è un articolo print on demand.
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Memristive Devices for Brain-Inspired Computing
Book 138 of 203: Woodhead Publishing Series in Electronic and Optical MaterialsLanguage: English
Published by Elsevier Science & Technology, Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Englisch.
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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
Book 138 of 203: Woodhead Publishing Series in Electronic and Optical MaterialsUS$ 261.46
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Add to basketPaperback. Condition: Brand New. 575 pages. 9.00x6.00x1.10 inches. In Stock. This item is printed on demand.
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Memristive Devices for Brain-Inspired Computing: From Materials, Devices and Circuits to Applications - Computational Memory, Deep Learning, and Spiki
Book 138 of 203: Woodhead Publishing Series in Electronic and Optical MaterialsLanguage: English
Published by Elsevier Science & Technology|Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
US$ 260.54
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Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 memristiv.
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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
Book 138 of 203: Woodhead Publishing Series in Electronic and Optical MaterialsLanguage: English
Published by Elsevier Science & Technology, Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
