Physical neuromorphic computing and its industrial applications
| Author | : Toshiyuki Yamane |
| Publisher | : Frontiers Media SA |
| Total Pages | : 163 |
| Release | : 2023-08-02 |
| Genre | : Science |
| ISBN | : 2832531288 |
Physical Neuromorphic Computing And Its Industrial Applications
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Advances in Neuromorphic Memristor Science and Applications
| Author | : Robert Kozma |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 318 |
| Release | : 2012-06-28 |
| Genre | : Medical |
| ISBN | : 9400744919 |
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.
Neural Information Processing
| Author | : Long Cheng |
| Publisher | : Springer |
| Total Pages | : 664 |
| Release | : 2018-12-03 |
| Genre | : Computers |
| ISBN | : 3030041670 |
The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 11301, is organized in topical sections on deep neural networks, convolutional neural networks, recurrent neural networks, and spiking neural networks.
Neuromorphic Computing Systems for Industry 4.0
| Author | : Dhanasekar, S. |
| Publisher | : IGI Global |
| Total Pages | : 400 |
| Release | : 2023-07-19 |
| Genre | : Computers |
| ISBN | : 1668465981 |
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.
Neural Networks for Instrumentation, Measurement, and Related Industrial Applications
| Author | : |
| Publisher | : IOS Press |
| Total Pages | : 344 |
| Release | : 2003 |
| Genre | : Electronic books |
| ISBN | : 9781586033033 |
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
| Author | : Sudeep Pasricha |
| Publisher | : Springer Nature |
| Total Pages | : 418 |
| Release | : 2023-11-01 |
| Genre | : Technology & Engineering |
| ISBN | : 303119568X |
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.
Nanoscale Electronic Devices and Their Applications
| Author | : Khurshed Ahmad Shah |
| Publisher | : CRC Press |
| Total Pages | : 237 |
| Release | : 2020-08-03 |
| Genre | : Science |
| ISBN | : 1000163520 |
Nanoscale Electronic Devices and Their Applications helps readers acquire a thorough understanding of the fundamentals of solids at the nanoscale level in addition to their applications including operation and properties of recent nanoscale devices. This book includes seven chapters that give an overview of electrons in solids, carbon nanotube devices and their applications, doping techniques, construction and operational details of channel-engineered MOSFETs, and spintronic devices and their applications. Structural and operational features of phase-change memory (PCM), memristor, and resistive random-access memory (ReRAM) are also discussed. In addition, some applications of these phase-change devices to logic designs have been presented. Aimed at senior undergraduate students in electrical engineering, micro-electronics engineering, physics, and device physics, this book: Covers a wide area of nanoscale devices while explaining the fundamental physics in these devices Reviews information on CNT two- and three-probe devices, spintronic devices, CNT interconnects, CNT memories, and NDR in CNT FETs Discusses spin-controlled devices and their applications, multi-material devices, and gates in addition to phase-change devices Includes rigorous mathematical derivations of the semiconductor physics Illustrates major concepts thorough discussions and various diagrams
Neuromorphic Photonics
| Author | : Paul R. Prucnal |
| Publisher | : CRC Press |
| Total Pages | : 412 |
| Release | : 2017-05-08 |
| Genre | : Science |
| ISBN | : 1498725244 |
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.
International Conference on Neural Computing for Advanced Applications
| Author | : Haijun Zhang |
| Publisher | : Springer Nature |
| Total Pages | : 595 |
| Release | : 2023-08-30 |
| Genre | : Computers |
| ISBN | : 981995844X |
The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023. The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics.
Advances in Memristor Neural Networks
| Author | : Calin Ciufudean |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 126 |
| Release | : 2018-10-03 |
| Genre | : Mathematics |
| ISBN | : 1789841151 |
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.
