Download or read book Photonics for Computers Neural Networks and Memories written by John A. Neff and published by . This book was released on 1993 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neuromorphic Photonics written by Paul R. Prucnal and published by CRC Press. This book was released on 2017-05-08 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Photonic Reservoir Computing written by Daniel Brunner and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-07-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips.
Download or read book Neural information processing written by Irwin King and published by Springer Science & Business Media. This book was released on 2006-09-22 with total page 1208 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions.
Download or read book Optical Storage and Retrieval written by Francis T.S. Yu and published by CRC Press. This book was released on 1996-06-13 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents recent technical information and gives an overview of progress in optical memory, neural networks and fractals from the viewpoint of optical information processing. The work introduces holographic optical disks and holographic storage in photorefractive crystal fibre, discusses the optical implementation of neural networks, explains the use of neurochips as artificial retinas, and more.
Download or read book Photo Electroactive Non Volatile Memories for Data Storage and Neuromorphic Computing written by Su-Ting Han and published by Woodhead Publishing. This book was released on 2020-05-26 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Neural Information Processing written by Jun Wang and published by Springer. This book was released on 2006-10-03 with total page 1208 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions.
Download or read book Silicon Photonics for High Performance Computing and Beyond written by Mahdi Nikdast and published by CRC Press. This book was released on 2021-11-16 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Silicon photonics is beginning to play an important role in driving innovations in communication and computation for an increasing number of applications, from health care and biomedical sensors to autonomous driving, datacenter networking, and security. In recent years, there has been a significant amount of effort in industry and academia to innovate, design, develop, analyze, optimize, and fabricate systems employing silicon photonics, shaping the future of not only Datacom and telecom technology but also high-performance computing and emerging computing paradigms, such as optical computing and artificial intelligence. Different from existing books in this area, Silicon Photonics for High-Performance Computing and Beyond presents a comprehensive overview of the current state-of-the-art technology and research achievements in applying silicon photonics for communication and computation. It focuses on various design, development, and integration challenges, reviews the latest advances spanning materials, devices, circuits, systems, and applications. Technical topics discussed in the book include: • Requirements and the latest advances in high-performance computing systems • Device- and system-level challenges and latest improvements to deploy silicon photonics in computing systems • Novel design solutions and design automation techniques for silicon photonic integrated circuits • Novel materials, devices, and photonic integrated circuits on silicon • Emerging computing technologies and applications based on silicon photonics Silicon Photonics for High-Performance Computing and Beyond presents a compilation of 19 outstanding contributions from academic and industry pioneers in the field. The selected contributions present insightful discussions and innovative approaches to understand current and future bottlenecks in high-performance computing systems and traditional computing platforms, and the promise of silicon photonics to address those challenges. It is ideal for researchers and engineers working in the photonics, electrical, and computer engineering industries as well as academic researchers and graduate students (M.S. and Ph.D.) in computer science and engineering, electronic and electrical engineering, applied physics, photonics, and optics.
Download or read book Fifth NASA Goddard Conference on Mass Storage Systems and Technologies written by Benjamin Kobler and published by . This book was released on 1996 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Photonics for Processors Neural Networks and Memories II written by Society of Photo-optical Instrumentation Engineers and published by SPIE-International Society for Optical Engineering. This book was released on 1994 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optical Pattern Recognition written by Francis T. S. Yu and published by Cambridge University Press. This book was released on 1998-06-28 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of optical pattern recognition techniques and implementations, for graduate students and researchers.
Download or read book VLSI Compatible Implementations for Artificial Neural Networks written by Sied Mehdi Fakhraie and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces several state-of-the-art VLSI implementations of artificial neural networks (ANNs). It reviews various hardware approaches to ANN implementations: analog, digital and pulse-coded. The analog approach is emphasized as the main one taken in the later chapters of the book. The area of VLSI implementation of ANNs has been progressing for the last 15 years, but not at the fast pace originally predicted. Several reasons have contributed to the slow progress, with the main one being that VLSI implementation of ANNs is an interdisciplinaly area where only a few researchers, academics and graduate students are willing to venture. The work of Professors Fakhraie and Smith, presented in this book, is a welcome addition to the state-of-the-art and will greatly benefit researchers and students working in this area. Of particular value is the use of experimental results to backup extensive simulations and in-depth modeling. The introduction of a synapse-MOS device is novel. The book applies the concept to a number of applications and guides the reader through more possible applications for future work. I am confident that the book will benefit a potentially wide readership. M. I. Elmasry University of Waterloo Waterloo, Ontario Canada Preface Neural Networks (NNs), generally defined as parallel networks that employ a large number of simple processing elements to perform computation in a distributed fashion, have attracted a lot of attention in the past fifty years. As the result. many new discoveries have been made.
Download or read book Photorefractive Optics written by Francis T.S. Yu and published by Elsevier. This book was released on 1999-10-27 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advances of photorefractive optics have demonstrated many useful and practical applications, which include the development of photorefractive optic devices for computer communication needs. To name a couple significant applications: the large capacity optical memory, which can greatly improve the accessible high-speed CD-ROM and the dynamic photorefractive gratings, which can be used for all-optic switches for high-speed fiber optic networks. This book is an important reference both for technical and non-technical staffs who are interested in this field. Sixteen chapters present the fundamental aspects and the recent advances of photorefractive optics, particularly potential applications in the area of informational infrastructures. The volume begins with the standard photoreactive models, optical properties, wave mixing, hologram formation memories, three-dimensional data storage dynamic, interconnections, space-time processing, and application of photoreflective material to wavefront connection and to femtosecond lasers. The final chapter discusses the dynamic process of photoreflective fibers.Book News, Inc.®, Portland, OR - Covers the recent development in materials, phenomena, and applications - Includes growth, characterization, dynamic gratings, and liquid crystal PR effect - Includes applications to photonic devices such as large capacity optical memory, 3-D interconnections, and dynamic holograms - Provides the recent overall picture of current trends in photorefractive optics - Includes optical and electronic properties of the materials as applied to dynamic photorefractive fiber
Download or read book Handbook of Neural Computing Applications written by Alianna J. Maren and published by Academic Press. This book was released on 2014-05-10 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Other papers deal with specific neural network types, and also on selecting, configuring, and implementing neural networks. Other papers address specific applications including neurocontrol for the benefit of control engineers and for neural networks researchers. Other applications involve signal processing, spatio-temporal pattern recognition, medical diagnoses, fault diagnoses, robotics, business, data communications, data compression, and adaptive man-machine systems. One paper describes data compression and dimensionality reduction methods that have characteristics, such as high compression ratios to facilitate data storage, strong discrimination of novel data from baseline, rapid operation for software and hardware, as well as the ability to recognized loss of data during compression or reconstruction. The collection can prove helpful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers related to programming, hardware interface, networking, engineering or design.
Download or read book Progress in Optics written by and published by Elsevier. This book was released on 1993-12-13 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume XXXII contains a number of review articles on recent developments in optics and related subjects. The first article presents an account of guided wave optics on silicon which is a subject of considerable current interest in the broad field of integrated optics, likely to influence the design and fabrication of various optical components. Chapter two provides an overview of the optical implementation of neural networks and discusses their design, models and architecture. The following article deals with applications of the path integral technique to the theory of wave propagation in random media, a technique used with considerable success in the last two decades for solutions of problems encountered in classical statistical wave theory. Methods for obtaining information on the relative location of objects in space are considered in the following chapter and includes an analysis of the potential accuracy and reliability of object location in the presence of additive Gaussian noise and a discussion of optical filters for localization of objects under various circumstances. The fifth article deals with the broad topic of radiation from uniformly moving sources. It considers the Vavilov-Cerenkov radiation, the Doppler effect in media, transition radiation and bremsstralung. These phenomena are of particular importance in the electrodynamics of continuous media, especially in a plasma. In the concluding article nonlinear optical plasmas in atoms and weakly relativistic plasmas are considered. The emphasis is on the specific properties of laser radiation that are important for inducing multiphoton processes and on nonlinear interactions of very intense laser pulses with electrons. All the articles are written by leading authorities in their respective fields, from all over the world.
Download or read book Solitonic Neural Networks written by Alessandro Bile and published by Springer Nature. This book was released on 2023-12-21 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into optics and photonic materials, describing the development of an intelligent all-optical system capable of replicating the functional building blocks of the biological brain. Starting with an analysis of biological neuronal dynamics and traversing the state of the art of neuromorphic systems developed to date, the book arrives at a description of neural networks realized through spatial soliton technology. After a brief introduction to the biology of neural networks (Chapter 1), the book delves into the description of the neuromorphic problem emphasizing the peculiarities of optical hardware developed to date. (Chapter 2). Chapter 3 is dedicated to the description of psychomemories , which represent the modeling of human learning according to the theories of modern neuro-psychology. This chapter provides the prerequisites for understanding how solitonic neural networks (SNNs) are able to learn and how they approach biological models. Chapter 4 focuses on the experimentation of solitonic optic neurons in thin layers of lithium niobate. Optical techniques for supervised and unsupervised learning are discussed. The entire chapter is accompanied by theoretical, simulative and experimental results. This chapter explains how an X-junction neuron is able to establish synapses, modify them, or erase them. The erasure of solitonic structures represents an important innovation in the field of nonlinear optics. Finally, Chapter 5 reports on the implementation of a network of neurons capable of processing information and storing it exactly as a human episodic memory does. The chapter ends with a number of insights into the lines of research that are currently being pursued on the basis of the results obtained. The book is meant for graduate students and researchers in the fields of optics, photonic applications, and biology. However, the main beneficiaries of this book are senior researchers in the field of nonlinear optics and artificial intelligence. To fully understand the results, it is important to have a basic knowledge of optical physics and neuron biology.
Download or read book Efficient Processing of Deep Neural Networks written by Vivienne Sze and published by Springer Nature. This book was released on 2022-05-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 key 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 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 formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.
