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: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Nan Zheng, Pinaki Mazumder Название: Learning in Energy–Efficient Neuromorphic Computing ISBN: 1119507383 ISBN-13(EAN): 9781119507383 Издательство: Wiley Рейтинг: Цена: 15990.00 р. Наличие на складе: Поставка под заказ.
Описание:
Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications
This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities--and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks.
The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware.
Includes cross-layer survey of hardware accelerators for neuromorphic algorithms
Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency
Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing
Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.
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: 8384.00 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.
Описание: This book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices.
Название: Neuromorphic Olfaction ISBN: 0367380153 ISBN-13(EAN): 9780367380151 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Нет в наличии.
Описание:
Many advances have been made in the last decade in the understanding of the computational principles underlying olfactory system functioning. Neuromorphic Olfaction is a collaboration among European researchers who, through NEUROCHEM (Fp7-Grant Agreement Number 216916)--a challenging and innovative European-funded project--introduce novel computing paradigms and biomimetic artifacts for chemical sensing. The implications of these findings are relevant to a wide audience, including researchers in artifical olfaction, neuroscientists, physiologists, and scientists working with chemical sensors.
Developing neuromorphic olfaction from conceptual points of view to practical applications, this cross-disciplinary book examines:
The biological components of vertebrate and invertebrate chemical sensing systems
The early coding pathways in the biological olfactory system, showing how nonspecific receptor populations may have significant advantages in encoding odor intensity as well as odor identity
The redundancy and the massive convergence of the olfactory receptor neurons to the olfactory bulb
A neuromorphic approach to artificial olfaction in robots
Reactive and cognitive search strategies for olfactory robots
The implementation of a computational model of the mammalian olfactory system
The book's primary focus is on translating aspects of olfaction into computationally practical algorithms. These algorithms can help us understand the underlying behavior of the chemical senses in biological systems. They can also be translated into practical applications, such as robotic navigation and systems for uniquely detecting chemical species in a complex background.
Автор: Gu,Min Название: Neuromorphic Photonic Devices And Applications ISBN: 0323988296 ISBN-13(EAN): 9780323988292 Издательство: Elsevier Science Рейтинг: Цена: 32844.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Qiang Yu; Huajin Tang; Jun Hu; Kay Tan Chen Название: Neuromorphic Cognitive Systems ISBN: 3319856251 ISBN-13(EAN): 9783319856254 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents neuromorphic cognitive systems from a learning and memory-centered perspective.
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.
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