Frontiers in Memristive Materials for Neuromorphic Processing Applications

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ISBN 13 : 9780309683197
Total Pages : pages
Book Rating : 4.9X/5 ( download)

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Book Synopsis Frontiers in Memristive Materials for Neuromorphic Processing Applications by : National Academies of Sciences Engineering and Medicine

Download or read book Frontiers in Memristive Materials for Neuromorphic Processing Applications written by National Academies of Sciences Engineering and Medicine and published by . This book was released on 2021-09-22 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Current von Neumann style computing is energy inefficient and bandwidth limited as information is physically shuttled via electrons between processor, short term non-volatile memory, and long-term storage. Biologically inspired neuromorphic computing, with its inherent autonomous learning capabilities and much lower power requirements based on analog processing, is seen as an avenue for overcoming these limitations. The development of nanoelectronic memory resistors, or memristors, is essential to neuromorphic architectures as they allow logic-based elements for information processing to be combined directly with nonvolatile memory for efficient emulation of neurons and synapses found in the brain. Memristors are typically composed of a switchable material with nonlinear hysteretic behavior sandwiched between two conducting encoding elements. The design, dynamic control, scaling and fundamental understanding of these materials is essential for establishing memristive devices. To explore the state-of-the-art in the materials fundamentally underlying memristor technologies: their science, their mechanisms and their functional imperatives to realize neuromorphic computing machines, the National Academies of Sciences, Engineering, and Medicine's Board on Physics and Astronomy convened a workshop on February 28, 2020. This publication summarizes the presentation and discussion of the workshop.

Frontiers in Memristive Materials for Neuromorphic Processing Applications

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ISBN 13 : 9780309683203
Total Pages : 103 pages
Book Rating : 4.03/5 ( download)

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Book Synopsis Frontiers in Memristive Materials for Neuromorphic Processing Applications by : National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Physics and Astronomy

Download or read book Frontiers in Memristive Materials for Neuromorphic Processing Applications written by National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Physics and Astronomy and published by . This book was released on 2021 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

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Publisher : Frontiers Media SA
ISBN 13 : 2889744604
Total Pages : 203 pages
Book Rating : 4.02/5 ( download)

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Book Synopsis Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design by : Huanglong Li

Download or read book Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design written by Huanglong Li and published by Frontiers Media SA. This book was released on 2022-02-21 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Memristor and Memristive Neural Networks

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Publisher : BoD – Books on Demand
ISBN 13 : 9535139479
Total Pages : 326 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Memristor and Memristive Neural Networks by : Alex James

Download or read book Memristor and Memristive Neural Networks written by Alex James and published by BoD – Books on Demand. This book was released on 2018-04-04 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

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Publisher : Academic Press
ISBN 13 : 0128232021
Total Pages : 570 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications by : Christos Volos

Download or read book Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications written by Christos Volos and published by Academic Press. This book was released on 2021-06-17 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling. As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields. Covers a broad range of interdisciplinary topics between mathematics, circuits, realizations, and practical applications related to nonlinear dynamical systems, nanotechnology, analog and digital systems, computer science and artificial intelligence Presents recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) Includes interesting applications of mem-elements in nonlinear dynamical systems, analog and digital systems, neuromorphic circuits, computer science and artificial intelligence

Celebrating the International Year of the Periodic Table: Beyond Mendeleev 150

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Publisher : Frontiers Media SA
ISBN 13 : 2889663191
Total Pages : 166 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Celebrating the International Year of the Periodic Table: Beyond Mendeleev 150 by : Mikhail V. Kurushkin

Download or read book Celebrating the International Year of the Periodic Table: Beyond Mendeleev 150 written by Mikhail V. Kurushkin and published by Frontiers Media SA. This book was released on 2021-01-11 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Neuromorphic Memristor Science and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 9400744919
Total Pages : 318 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Advances in Neuromorphic Memristor Science and Applications by : Robert Kozma

Download or read book Advances in Neuromorphic Memristor Science and Applications written by Robert Kozma and published by Springer Science & Business Media. This book was released on 2012-06-28 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future applications for memristive devices. The possibility of gathering prominent scientists in the heart of the Silicon Valley given by the 2011 International Joint Conference on Neural Networks held in San Jose, CA, has offered us the unique opportunity of organizing a series of special events on the present status and future perspectives in neuromorphic memristor science. This book presents a selection of the remarkable contributions given by the leaders of the field and it may serve as inspiration and future reference to all researchers that want to explore the extraordinary possibilities given by this revolutionary concept.

Resistive Switching: Oxide Materials, Mechanisms, Devices and Operations

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Publisher : Springer Nature
ISBN 13 : 3030424243
Total Pages : 386 pages
Book Rating : 4.44/5 ( download)

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Book Synopsis Resistive Switching: Oxide Materials, Mechanisms, Devices and Operations by : Jennifer Rupp

Download or read book Resistive Switching: Oxide Materials, Mechanisms, Devices and Operations written by Jennifer Rupp and published by Springer Nature. This book was released on 2021-10-15 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad examination of redox-based resistive switching memories (ReRAM), a promising technology for novel types of nanoelectronic devices, according to the International Technology Roadmap for Semiconductors, and the materials and physical processes used in these ionic transport-based switching devices. It covers defect kinetic models for switching, ReRAM deposition/fabrication methods, tuning thin film microstructures, and material/device characterization and modeling. A slate of world-renowned authors address the influence of type of ionic carriers, their mobility, the role of the local and chemical composition and environment, and facilitate readers’ understanding of the effects of composition and structure at different length scales (e.g., crystalline vs amorphous phases, impact of extended defects such as dislocations and grain boundaries). ReRAMs show outstanding potential for scaling down to the atomic level, fast operation in the nanosecond range, low power consumption, and non-volatile storage. The book is ideal for materials scientists and engineers concerned with novel types of nanoelectronic devices such as memories, memristors, and switches for logic and neuromorphic computing circuits beyond the von Neumann concept.

Towards Neuroscience-Inspired Intelligent Computing: Theory, Methods, and Applications

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Publisher : Frontiers Media SA
ISBN 13 : 2832519172
Total Pages : 136 pages
Book Rating : 4.72/5 ( download)

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Book Synopsis Towards Neuroscience-Inspired Intelligent Computing: Theory, Methods, and Applications by : Di Wu

Download or read book Towards Neuroscience-Inspired Intelligent Computing: Theory, Methods, and Applications written by Di Wu and published by Frontiers Media SA. This book was released on 2023-04-03 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Memristive Devices for Brain-Inspired Computing

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Publisher : Woodhead Publishing
ISBN 13 : 9780081027820
Total Pages : 0 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Memristive Devices for Brain-Inspired Computing by : Sabina Spiga

Download or read book Memristive Devices for Brain-Inspired Computing written by Sabina Spiga and published by Woodhead Publishing. This book was released on 2020-06-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.