Neuromorphic Computing Systems for Industry 4.0, Alex Norta, K. Martin Sagayam, S. Dhanasekar, Surbhi Vijh, Vipin Tyagi
Автор: By Elishai Ezra Tsur Название: Neuromorphic Engineering ISBN: 0367698382 ISBN-13(EAN): 9780367698386 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Alex Norta, K. Martin Sagayam, S. Dhanasekar, Surbhi Vijh, Vipin Tyagi Название: Neuromorphic Computing Systems for Industry 4.0 ISBN: 1668465973 ISBN-13(EAN): 9781668465974 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32017.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Photo-Electroactive Non-Volatile Memories for Data Storage and Neuromorphic Computing summarizes advances in the development of photo-electroactive memories and neuromorphic computing systems, suggests possible solutions to the challenges of device design, and evaluates the prospects for commercial applications. Sections covers developments in electro-photoactive memory, and photonic neuromorphic and in-memory computing, including discussions on design concepts, operation principles and basic storage mechanism of optoelectronic memory devices, potential materials from organic molecules, semiconductor quantum dots to two-dimensional materials with desirable electrical and optical properties, device challenges, and possible strategies.
This comprehensive, accessible and up-to-date book will be of particular interest to graduate students and researchers in solid-state electronics. It is an invaluable systematic introduction to the memory characteristics, operation principles and storage mechanisms of the latest reported electro-photoactive memory devices.
Reviews the most promising materials to enable emerging computing memory and data storage devices, including one- and two-dimensional materials, metal oxides, semiconductors, organic materials, and more
Discusses fundamental mechanisms and design strategies for two- and three-terminal device structures
Addresses device challenges and strategies to enable translation of optical and optoelectronic technologies
Автор: Ben Abdallah, Abderazek Dang, Khanh N. Название: Neuromorphic computing principles and organization ISBN: 3030925277 ISBN-13(EAN): 9783030925277 Издательство: Springer Рейтинг: Цена: 7317.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: This book discusses and compares several new trends that can be used to overcome Moore`s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing.
Описание: Kate Bush`s debut propelled her to fame & a phenomenal career. With the iconic `Wuthering Heights`, the young Kate captured people`s imagination with her original songwriting style & of course, her unique voice. An in-depth perspective on how the album came to be, how it was presented & received & what it means in terms of Kate Bush`s legacy today.
Описание: This book discusses and compares several new trends that can be used to overcome Moore`s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing.
Автор: Ben Abdallah, Abderazek Dang, Khanh N. Название: Neuromorphic computing principles and organization ISBN: 3030925242 ISBN-13(EAN): 9783030925246 Издательство: Springer Рейтинг: Цена: 7317.00 р. Наличие на складе: Нет в наличии.
Описание: 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.
Описание: This book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices.
Автор: Tor Sverre Lande Название: Neuromorphic Systems Engineering ISBN: 1475782985 ISBN-13(EAN): 9781475782981 Издательство: Springer Рейтинг: Цена: 22797.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include:
large scale analog systems in silicon
neuromorphic silicon
auditory (ear) and vision (eye) systems in silicon
learning and adaptation in silicon
merging biology and technology
micropower analog circuit design
analog memory
analog interchipcommunication on digital buses /LIST Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.
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.
Автор: Qiang Yu; Huajin Tang; Jun Hu; Kay Tan Chen Название: Neuromorphic Cognitive Systems ISBN: 3319553089 ISBN-13(EAN): 9783319553085 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents neuromorphic cognitive systems from a learning and memory-centered perspective.
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