Neuromorphic Computing Principles And Organization

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Neuromorphic Computing Principles And Organization

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Author : Abderazek Ben Abdallah
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Neuromorphic Computing Principles And Organization written by Abderazek Ben Abdallah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.

This book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and medium scale spiking neural networks with learning capabilities. In addition, the book describes in a comprehensive way the organization and how to design a spike-based neuromorphic system to perform network of spiking neurons communication, computing, and adaptive learning for emerging AI applications. The book begins with an overview of neuromorphic computing systems and explores the fundamental concepts of artificial neural networks. Next, we discuss artificial neurons and how they have evolved in their representation of biological neuronal dynamics. Afterward, we discuss implementing these neural networks in neuron models, storage technologies, inter-neuron communication networks, learning, and various design approaches. Then, comes the fundamental design principle to build an efficient neuromorphic system in hardware. The challenges that need to be solved toward building a spiking neural network architecture with many synapses are discussed. Learning in neuromorphic computing systems and the major emerging memory technologies that promise neuromorphic computing are then given. A particular chapter of this book is dedicated to the circuits and architectures used for communication in neuromorphic systems. In particular, the Network-on-Chip fabric is introduced for receiving and transmitting spikes following the Address Event Representation (AER) protocol and the memory accessing method. In addition, the interconnect design principle is covered to help understand the overall concept of on-chip and off-chip communication. Advanced on-chip interconnect technologies, including si-photonic three-dimensional interconnects and fault-tolerant routing algorithms, are also given. The book also covers the main threats of reliability and discusses several recovery methods for multicore neuromorphic systems. This is important for reliable processing in several embedded neuromorphic applications. A reconfigurable design approach that supports multiple target applications via dynamic reconfigurability, network topology independence, and network expandability is also described in the subsequent chapters. The book ends with a case study about a real hardware-software design of a reliable three-dimensional digital neuromorphic processor geared explicitly toward the 3D-ICs biological brain’s three-dimensional structure. The platform enables high integration density and slight spike delay of spiking networks and features a scalable design. We present methods for fault detection and recovery in a neuromorphic system as well. Neuromorphic Computing Principles and Organization is an excellent resource for researchers, scientists, graduate students, and hardware-software engineers dealing with the ever-increasing demands on fault-tolerance, scalability, and low power consumption. It is also an excellent resource for teaching advanced undergraduate and graduate students about the fundamentals concepts, organization, and actual hardware-software design of reliable neuromorphic systems with learning and fault-tolerance capabilities.

Neuromorphic Computing Principles And Organization

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Author : Abderazek Ben Abdallah
language : en
Publisher: Springer Nature
Release Date : 2025-04-23

Neuromorphic Computing Principles And Organization written by Abderazek Ben Abdallah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Computers categories.

The second edition of Neuromorphic Computing Principles and Organization delves deeply into neuromorphic computing, focusing on designing fault-tolerant, scalable hardware for spiking neural networks. Each chapter includes exercises to enhance understanding. All existing chapters have been meticulously revised, and a new chapter on advanced neuromorphic prosthesis design serves as a comprehensive case study. The book starts with an overview of neuromorphic systems and fundamental artificial neural network concepts. It explores artificial neurons, neuron models, storage technologies, inter-neuron communication, learning mechanisms, and design approaches. Detailed discussions cover challenges in constructing spiking neural networks and emerging memory technologies. A dedicated chapter addresses circuits and architectures, including Network-on-Chip (NoC) fabric, Address Event Representation (AER), memory access methods, and photonic interconnects. Reliability issues, recovery methods for multicore systems, and reconfigurable designs supporting multiple applications are examined. The book also describes the hardware-software design of a three-dimensional neuromorphic processor, focusing on high integration density, minimal spike delay, and scalable design. The book concludes with a comprehensive review of neuromorphic systems, providing a detailed analysis of the field and an overarching understanding of the key concepts discussed throughout the text.

Neuromorphic Computing Systems For Industry 4 0

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Author : Dhanasekar, S.
language : en
Publisher: IGI Global
Release Date : 2023-07-19

Neuromorphic Computing Systems For Industry 4 0 written by Dhanasekar, S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-19 with Computers categories.

As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery-powered and deeply embedded devices are challenged to perform AI functions such as computer vision and voice recognition. Microchip Technology Inc., via its Silicon Storage Technology (SST) subsidiary, is addressing this challenge by significantly reducing power with its analog memory technology, the memBrain Memory Solution. The memBrain solution is being adopted by today’s companies looking to advance machine learning capacities in edge devices. Due to its ability to significantly reduce power, this analog in-memory computer solution is ideal for an AI application. Neuromorphic Computing Systems for Industry 4.0 covers the available literature in the field of neural computing-based microchip technology. It provides further research opportunities in this dynamic field. Covering topics such as emotion recognition, biometric authentication, and neural network protection, this premier reference source is an essential resource for technology developers, computer scientists, engineers, students and educators of higher education, librarians, researchers, and academicians.

Neuromorphic Devices For Brain Inspired Computing

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Author : Qing Wan
language : en
Publisher: John Wiley & Sons
Release Date : 2022-05-16

Neuromorphic Devices For Brain Inspired Computing written by Qing Wan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-16 with Technology & Engineering categories.

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.

Revolutionizing Ai With Brain Inspired Technology Neuromorphic Computing

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Author : Lilhore, Umesh Kumar
language : en
Publisher: IGI Global
Release Date : 2024-11-29

Revolutionizing Ai With Brain Inspired Technology Neuromorphic Computing written by Lilhore, Umesh Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.

As artificial intelligence (AI) continues to evolve, neuromorphic computing stands at the forefront of this revolution, offering a transformative approach by mimicking the structure and function of the human brain. This cutting-edge technology is reshaping AI, making it more efficient, adaptive, and capable of complex tasks that were once thought impossible. Neuromorphic computing has the potential to revolutionize industries such as healthcare, robotics, and autonomous vehicles, driving advancements that could redefine the future of technology and its applications in everyday life. Understanding this emerging field is crucial for anyone involved in AI development or interested in the next frontier of technological innovation. Revolutionizing AI with Brain-Inspired Technology: Neuromorphic Computing covers neuromorphic computing, its real-world applications, and the latest advancements pushing the boundaries of AI. By offering a comprehensive overview and inspiring new research, this book plays a pivotal role in shaping the future of AI and its impact on various sectors. This volume is an essential resource for researchers, academics, professionals, and policymakers who seek to understand the principles and potential of neuromorphic computing as well as the societal implications of these technologies.

Neuromorphic Engineering

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Author : Elishai Ezra Tsur
language : en
Publisher:
Release Date : 2021

Neuromorphic Engineering written by Elishai Ezra Tsur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

"This book will cover the fundamentals of neuromorphic engineering, focusing on the digital neuron model for neuro-synaptic cores, cognitive programming paradigms and algorithms, neuromorphic circuits and applications for networks of neuro-synaptic cores"--

Dynamic Interactions In Neural Networks Models And Data

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Author : Michael A. Arbib
language : en
Publisher: Springer Science & Business Media
Release Date : 1989

Dynamic Interactions In Neural Networks Models And Data written by Michael A. Arbib and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.

The study of neural networks is enjoying a great renaissance, both in computational neuroscience, the development of information processing models of living brains, and in neural computing, the use of neurally inspired concepts in the construction of "intelligent" machines. Thus the title of this volume has two interpretations: It presents models and data on the dynamic interactions occurring in the brain, and it exhibits the dynamic interactions between research in computational neuroscience and in neural computing, as scientists seek to find common principles to guide the understanding of the living brain and the design of artificial neural networks. This collection of contributions presents the current state of research, future trends and open problems in an exciting field of today's science.

Heterogeneity High Performance Computing Self Organization And The Cloud

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Author : Theo Lynn
language : en
Publisher: Springer
Release Date : 2018-05-18

Heterogeneity High Performance Computing Self Organization And The Cloud written by Theo Lynn and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-18 with Business & Economics categories.

This book is open access under a CC BY NC ND license. It addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption. Establishing the need for a new architecture for cloud computing, it discusses a novel cloud management and delivery architecture based on the principles of self-organisation and self-management. This focus shifts the deployment and optimisation effort from the consumer to the software stack running on the cloud infrastructure. It also outlines validation challenges and introduces a novel generalised extensible simulation framework to illustrate the effectiveness, performance and scalability of self-organising and self-managing delivery models on hyperscale cloud infrastructures. It concludes with a number of potential use cases for self-organising, self-managing clouds and the impact on those businesses.

Principles Of Artificial Neural Networks

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Author : Daniel Graupe
language : en
Publisher: World Scientific
Release Date : 1997-05-01

Principles Of Artificial Neural Networks written by Daniel Graupe and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-05-01 with Mathematics categories.

This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields, with background in at least one programming language or in a programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing.

Circuit Design For Modern Applications

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Author : A. Andrew Roobert
language : en
Publisher: CRC Press
Release Date : 2025-02-05

Circuit Design For Modern Applications written by A. Andrew Roobert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Technology & Engineering categories.

This book offers a clear exploration of cutting-edge semiconductor circuit technologies and their practical applications. It covers topics like advanced transistor design, low-power consumption techniques, and high-performance circuit design. Circuit Design for Modern Applications explores the recent innovations in semiconductor technology. Bandgap reference circuits, quad model transistors, voltagecontrolled oscillators, LDO regulators, power amplifiers, low noise amplifiers, operational amplifiers, low-power CNTFET-based quaternary multipliers, and STT MRAM-based cache memory for multicore systems are discussed. It points out the difficulties in designing CMOS analog and RF circuits for mmWave applications and looks into newly developed field-effect transistors for an alternate solution. Innovative devices such as III-V material-based HEMTs, and junctionless FETs are discussed. The book also looks at creative ways to improve circuit performance and energy efficiency, which is a useful resource for academics, researchers, and industry experts working in semiconductors. This book will help the readers to stay on the cutting edge of contemporary circuit design technologies, covering various topics from fundamental circuit design to high-performance circuits.