Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design

Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design
Author: Huanglong Li
Publisher: Frontiers Media SA
Total Pages: 203
Release: 2022-02-21
Genre: Science
ISBN: 2889744604
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Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design
Language: en
Pages: 203

Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design

Authors: Huanglong Li
Categories: Science
Type: BOOK - Published: 2022-02-21 - Publisher: Frontiers Media SA

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Memristive Devices for Brain-Inspired Computing
Language: en
Pages: 569

Memristive Devices for Brain-Inspired Computing

Authors: Sabina Spiga
Categories: Technology & Engineering
Type: BOOK - Published: 2020-06-12 - Publisher: Woodhead Publishing

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Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural
Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
Language: en
Pages: 244

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Authors: Jordi Suñé
Categories: Technology & Engineering
Type: BOOK - Published: 2020-04-09 - Publisher: MDPI

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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
Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design
Language: en
Pages: 389

Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design

Authors: Nan Zheng
Categories: Computers
Type: BOOK - Published: 2019-10-18 - Publisher: John Wiley & Sons

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Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book fo
Frontiers in Memristive Materials for Neuromorphic Processing Applications
Language: en
Pages:

Frontiers in Memristive Materials for Neuromorphic Processing Applications

Authors: National Academies of Sciences Engineering and Medicine
Categories:
Type: BOOK - Published: 2021-09-22 - Publisher:

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Current von Neumann style computing is energy inefficient and bandwidth limited as information is physically shuttled via electrons between processor, short ter