Memristive Devices for Brain Inspired Computing

Memristive Devices for Brain Inspired Computing
Author: Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran
Publsiher: Woodhead Publishing
Total Pages: 564
Release: 2020-06-12
ISBN 10: 0081027877
ISBN 13: 9780081027875
Language: EN, FR, DE, ES & NL

Memristive Devices for Brain Inspired Computing Book Review:

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

Neuromorphic Devices for Brain inspired Computing

Neuromorphic Devices for Brain inspired Computing
Author: Qing Wan,Yi Shi
Publsiher: John Wiley & Sons
Total Pages: 256
Release: 2021-12-10
ISBN 10: 352783530X
ISBN 13: 9783527835300
Language: EN, FR, DE, ES & NL

Neuromorphic Devices for Brain inspired Computing Book Review:

Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications. Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors Practical discussions of neuromorphic devices based on chalcogenide and organic materials In-depth examinations of neuromorphic computing and perceptual systems with emerging devices Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.

Neuromorphic Devices for Brain inspired Computing

Neuromorphic Devices for Brain inspired Computing
Author: Qing Wan,Yi Shi
Publsiher: John Wiley & Sons
Total Pages: 258
Release: 2022-05-16
ISBN 10: 3527349790
ISBN 13: 9783527349791
Language: EN, FR, DE, ES & NL

Neuromorphic Devices for Brain inspired Computing Book Review:

Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications. Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors Practical discussions of neuromorphic devices based on chalcogenide and organic materials In-depth examinations of neuromorphic computing and perceptual systems with emerging devices Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.

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,J. Joshua Yang,Hongsik Jeong
Publsiher: Frontiers Media SA
Total Pages: 203
Release: 2022-02-21
ISBN 10: 2889744604
ISBN 13: 9782889744602
Language: EN, FR, DE, ES & NL

Memristive Neuromorphics Materials Devices Circuits Architectures Algorithms and their Co Design Book Review:

Resistive Switching

Resistive Switching
Author: Daniele Ielmini,Rainer Waser
Publsiher: John Wiley & Sons
Total Pages: 784
Release: 2015-12-28
ISBN 10: 3527680942
ISBN 13: 9783527680948
Language: EN, FR, DE, ES & NL

Resistive Switching Book Review:

With its comprehensive coverage, this reference introduces readers to the wide topic of resistance switching, providing the knowledge, tools, and methods needed to understand, characterize and apply resistive switching memories. Starting with those materials that display resistive switching behavior, the book explains the basics of resistive switching as well as switching mechanisms and models. An in-depth discussion of memory reliability is followed by chapters on memory cell structures and architectures, while a section on logic gates rounds off the text. An invaluable self-contained book for materials scientists, electrical engineers and physicists dealing with memory research and development.

Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions

Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions
Author: Erika Covi,Elisa Donati,Stefano Brivio,Hadi Heidari
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2022-04-26
ISBN 10: 2889760006
ISBN 13: 9782889760008
Language: EN, FR, DE, ES & NL

Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions Book Review:

Handbook of Memristor Networks

Handbook of Memristor Networks
Author: Leon Chua,Georgios Ch. Sirakoulis,Andrew Adamatzky
Publsiher: Springer Nature
Total Pages: 1368
Release: 2019-11-12
ISBN 10: 331976375X
ISBN 13: 9783319763750
Language: EN, FR, DE, ES & NL

Handbook of Memristor Networks Book Review:

This Handbook presents all aspects of memristor networks in an easy to read and tutorial style. Including many colour illustrations, it covers the foundations of memristor theory and applications, the technology of memristive devices, revised models of the Hodgkin-Huxley Equations and ion channels, neuromorphic architectures, and analyses of the dynamic behaviour of memristive networks. It also shows how to realise computing devices, non-von Neumann architectures and provides future building blocks for deep learning hardware. With contributions from leaders in computer science, mathematics, electronics, physics, material science and engineering, the book offers an indispensable source of information and an inspiring reference text for future generations of computer scientists, mathematicians, physicists, material scientists and engineers working in this dynamic field.

Memristor Networks

Memristor Networks
Author: Andrew Adamatzky,Leon Chua
Publsiher: Springer Science & Business Media
Total Pages: 720
Release: 2013-12-18
ISBN 10: 3319026305
ISBN 13: 9783319026305
Language: EN, FR, DE, ES & NL

Memristor Networks Book Review:

Using memristors one can achieve circuit functionalities that are not possible to establish with resistors, capacitors and inductors, therefore the memristor is of great pragmatic usefulness. Potential unique applications of memristors are in spintronic devices, ultra-dense information storage, neuromorphic circuits and programmable electronics. Memristor Networks focuses on the design, fabrication, modelling of and implementation of computation in spatially extended discrete media with many memristors. Top experts in computer science, mathematics, electronics, physics and computer engineering present foundations of the memristor theory and applications, demonstrate how to design neuromorphic network architectures based on memristor assembles, analyse varieties of the dynamic behaviour of memristive networks and show how to realise computing devices from memristors. All aspects of memristor networks are presented in detail, in a fully accessible style. An indispensable source of information and an inspiring reference text, Memristor Networks is an invaluable resource for future generations of computer scientists, mathematicians, physicists and engineers.

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
Author: Jordi Suñé
Publsiher: MDPI
Total Pages: 244
Release: 2020-04-09
ISBN 10: 3039285769
ISBN 13: 9783039285761
Language: EN, FR, DE, ES & NL

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications Book Review:

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 is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.

Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications

Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications
Author: Christos Volos,Viet-Thanh Pham
Publsiher: Academic Press
Total Pages: 568
Release: 2021-07-01
ISBN 10: 0128232021
ISBN 13: 9780128232026
Language: EN, FR, DE, ES & NL

Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications Book Review:

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

Organic Flexible Electronics

Organic Flexible Electronics
Author: Piero Cosseddu,Mario Caironi
Publsiher: Woodhead Publishing
Total Pages: 664
Release: 2020-10-07
ISBN 10: 012818891X
ISBN 13: 9780128188910
Language: EN, FR, DE, ES & NL

Organic Flexible Electronics Book Review:

Organic Electronics is a novel field of electronics that has gained an incredible attention over the past few decades. New materials, device architectures and applications have been continuously introduced by the academic and also industrial communities, and novel topics have raised strong interest in such communities, as molecular doping, thermoelectrics, bioelectronics and many others. Organic Flexible Electronics is mainly divided into three sections. The first part is focused on the fundamentals of organic electronics, such as charge transport models in these systems and new approaches for the design and synthesis of novel molecules. The first section addresses the main challenges that are still open in this field, including the important role of interfaces for achieving high-performing devices or the novel approaches employed for improving reliability issues. The second part discusses the most innovative devices which have been developed in recent years, such as devices for energy harvesting, flexible batteries, high frequency circuits, and flexible devices for tattoo electronics and bioelectronics. Finally the book reviews the most important applications moving from more standard flexible back panels to wearable and textile electronics and more futuristic applications like ingestible systems. Reviews the fundamental properties and methods for optimizing organic electronic materials including chemical doping and techniques to address stability issues; Discusses the most promising organic electronic devices for energy, electronics, and biomedical applications; Addresses key applications of organic electronic devices in imagers, wearable electronics, bioelectronics.

Celebrating the International Year of the Periodic Table Beyond Mendeleev 150

Celebrating the International Year of the Periodic Table  Beyond Mendeleev 150
Author: Mikhail V. Kurushkin,W. H. Eugen Schwarz,Eugene A. Goodilin
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2021-01-11
ISBN 10: 2889663191
ISBN 13: 9782889663194
Language: EN, FR, DE, ES & NL

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

Real Time Modelling and Processing for Communication Systems

Real Time Modelling and Processing for Communication Systems
Author: Muhammad Alam,Wael Dghais,Yuanfang Chen
Publsiher: Springer
Total Pages: 282
Release: 2017-12-27
ISBN 10: 3319722158
ISBN 13: 9783319722153
Language: EN, FR, DE, ES & NL

Real Time Modelling and Processing for Communication Systems Book Review:

This book presents cutting-edge work on real-time modelling and processing, a highly active research field in both the research and industrial domains. Going beyond conventional real-time systems, major efforts are required to develop accurate and computational efficient real-time modelling algorithms and design automation tools that reflect the technological advances in high-speed and ultra-low-power transceiver communication architectures based on nanoscale devices. The book addresses basic and more advanced topics, such as I/O buffer circuits for ensuring reliable chip-to-chip communication, I/O buffer behavioural modelling, multiport empirical models for memory interfaces, compact behavioural modelling for memristive devices, and resource reservation modelling for distributed embedded systems. The respective chapters detail new research findings, new models, algorithms, implementations and simulations of the above-mentioned topics. As such, the book will help both graduate students and researchers understand the latest research into real-time modelling and processing.

Efficient Processing of Deep Neural Networks

Efficient Processing of Deep Neural Networks
Author: Vivienne Sze,Yu-Hsin Chen,Tien-Ju Yang,Joel S. Emer
Publsiher: Morgan & Claypool Publishers
Total Pages: 341
Release: 2020-06-24
ISBN 10: 1681738325
ISBN 13: 9781681738321
Language: EN, FR, DE, ES & NL

Efficient Processing of Deep Neural Networks Book Review:

This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of the DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as a formalization and organization of key concepts from contemporary works that provides insights that may spark new ideas.

Neuromorphic Photonics

Neuromorphic Photonics
Author: Paul R. Prucnal,Bhavin J. Shastri
Publsiher: CRC Press
Total Pages: 412
Release: 2017-05-08
ISBN 10: 1498725244
ISBN 13: 9781498725248
Language: EN, FR, DE, ES & NL

Neuromorphic Photonics Book Review:

This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.

Atomic Switch

Atomic Switch
Author: Masakazu Aono
Publsiher: Springer Nature
Total Pages: 266
Release: 2020-03-02
ISBN 10: 303034875X
ISBN 13: 9783030348755
Language: EN, FR, DE, ES & NL

Atomic Switch Book Review:

Written by the inventors and leading experts of this new field, the book results from the International Symposium on “Atomic Switch: Invention, Practical use and Future Prospects” which took place in Tsukuba, Japan on March 27th - 28th, 2017. The book chapters cover the different trends from the science and technology of atomic switches to their applications like brain-type information processing, artificial intelligence (AI) and completely novel functional electronic nanodevices. The current practical uses of the atomic switch are also described. As compared with the conventional semiconductor transistor switch, the atomic switch is more compact (~1/10) with much lower power consumption (~1/10) and scarcely influenced by strong electromagnetic noise and radiation including cosmic rays in space (~1/100). As such, this book is of interest to researchers, scholars and students willing to explore new materials, to refine the nanofabrication methods and to explore new and efficient device architectures.

Advances in Memristor Neural Networks

Advances in Memristor Neural Networks
Author: Calin Ciufudean
Publsiher: BoD – Books on Demand
Total Pages: 126
Release: 2018-10-03
ISBN 10: 1789841151
ISBN 13: 9781789841152
Language: EN, FR, DE, ES & NL

Advances in Memristor Neural Networks Book Review:

Nowadays, scientific research deals with alternative solutions for creating non-traditional computing systems, such as neural network architectures where the stochastic nature and live dynamics of memristive models play a key role. The features of memristors make it possible to direct processing and analysis of both biosystems and systems driven by artificial intelligence, as well as develop plausible physical models of spiking neural networks with self-organization. This book deals with advanced applications illustrating these concepts, and delivers an important contribution for the achievement of the next generation of intelligent hybrid biostructures. Different modeling and simulation tools can deliver an alternative to funding the theoretical approach as well as practical implementation of memristive systems.

Seizure Forecasting and Detection Computational Models Machine Learning and Translation into Devices

Seizure Forecasting and Detection  Computational Models  Machine Learning  and Translation into Devices
Author: Sharon Chiang,Vikram Rao,Gregory Worrell,Maxime O. Baud
Publsiher: Frontiers Media SA
Total Pages: 207
Release: 2022-03-31
ISBN 10: 2889748723
ISBN 13: 9782889748723
Language: EN, FR, DE, ES & NL

Seizure Forecasting and Detection Computational Models Machine Learning and Translation into Devices Book Review:

Energy Efficient Computing Electronics

Energy Efficient Computing   Electronics
Author: Santosh K. Kurinec,Sumeet Walia
Publsiher: CRC Press
Total Pages: 452
Release: 2019-01-31
ISBN 10: 1351779869
ISBN 13: 9781351779869
Language: EN, FR, DE, ES & NL

Energy Efficient Computing Electronics Book Review:

In our abundant computing infrastructure, performance improvements across most all application spaces are now severely limited by the energy dissipation involved in processing, storing, and moving data. The exponential increase in the volume of data to be handled by our computational infrastructure is driven in large part by unstructured data from countless sources. This book explores revolutionary device concepts, associated circuits, and architectures that will greatly extend the practical engineering limits of energy-efficient computation from device to circuit to system level. With chapters written by international experts in their corresponding field, the text investigates new approaches to lower energy requirements in computing. Features • Has a comprehensive coverage of various technologies • Written by international experts in their corresponding field • Covers revolutionary concepts at the device, circuit, and system levels

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices
Author: Manan Suri
Publsiher: Springer
Total Pages: 210
Release: 2017-01-21
ISBN 10: 813223703X
ISBN 13: 9788132237037
Language: EN, FR, DE, ES & NL

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices Book Review:

This book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices. Special emphasis is given to leading works in hybrid low-power CMOS-Nanodevice design. The book offers readers a bidirectional (top-down and bottom-up) perspective on designing efficient bio-inspired hardware. At the nanodevice level, it focuses on various flavors of emerging resistive memory (RRAM) technology. At the algorithm level, it addresses optimized implementations of supervised and stochastic learning paradigms such as: spike-time-dependent plasticity (STDP), long-term potentiation (LTP), long-term depression (LTD), extreme learning machines (ELM) and early adoptions of restricted Boltzmann machines (RBM) to name a few. The contributions discuss system-level power/energy/parasitic trade-offs, and complex real-world applications. The book is suited for both advanced researchers and students interested in the field.