Download or read book Primer to Neuromorphic Computing written by Harish Garg and published by Academic Press. This book was released on 2024-11-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Primer to Neuromorphic Computing highlights critical and ongoing research into the diverse applications of neuromorphic computing. It includes an overview of primary scientific concepts for the research topic of neuromorphic computing, such as neurons as computational units, artificial intelligence, machine learning, and neuromorphic models. It also discusses the fundamental design method and organization of neuromorphic architecture. Hardware for neuromorphic systems can be developed by exploiting the magnetic properties of different materials. These systems are more energy efficient and enable faster computation . Magnetic tunnel junctions and magnetic textures can be employed to act as neurons and synapses. Neuromorphic systems have general intelligence like humans as they can apply knowledge gained in one domain to other domains.

Download or read book Primer to Neuromorphic Computing written by Harish Garg and published by Elsevier. This book was released on 2024-11-09 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Primer to Neuromorphic Computing highlights critical and ongoing research into the diverse applications of neuromorphic computing. It includes an overview of primary scientific concepts for the research topic of neuromorphic computing, such as neurons as computational units, artificial intelligence, machine learning, and neuromorphic models. It also discusses the fundamental design method and organization of neuromorphic architecture. Hardware for neuromorphic systems can be developed by exploiting the magnetic properties of different materials. These systems are more energy efficient and enable faster computation . Magnetic tunnel junctions and magnetic textures can be employed to act as neurons and synapses. Neuromorphic systems have general intelligence like humans as they can apply knowledge gained in one domain to other domains. - Discusses potential neuromorphic applications in computing - Presents current trends and models in neuromorphic computing and neural network hardware architectures - Shows the development of novel devices and hardware to enable neuromorphic computing - Offers information about computation and learning principles for neuromorphic systems - Provides information about Neuromorphic implementations of neurobiological learning algorithms - Discusses biologically inspired neuromorphic systems and devices (including adaptive bio interfacing and hybrid systems consisting of living matter and synthetic matter)

Download or read book The 1989 Neuro computing Bibliography written by Casimir C. Klimasauskas and published by MIT Press (MA). This book was released on 1989 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive bibliography provides a functional, flexible tool for researchers and engineers in neurocomputing.

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 Neuromorphic Photonic Devices and Applications written by Min Gu and published by Elsevier. This book was released on 2023-12-01 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuromorphic Photonic Devices and Applications synthesizes the most critical advances in photonic neuromorphic models, photonic material platforms and accelerators for neuromorphic computing. The book discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence (AI), such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout. Finally, a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities and future prospects is discussed, making the book suitable for researchers and practitioners in academia and R&D in the multidisciplinary field of photonics. - Includes overview of primary scientific concepts for the research topic of neuromorphic photonics such as neurons as computational units, artificial intelligence, machine learning and neuromorphic models - Reviews the latest advances in photonic materials, device platforms and enabling technology drivers of neuromorphic photonics - Discusses potential applications in computing and optical communications

Download or read book Phase Change Materials Based Photonic Computing written by Harish Bhaskaran and published by Elsevier. This book was released on 2024-01-21 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phase Change Materials-Based Photonic Computing provides a clear introduction to the field, introducing concepts of photonics, computing, phase change materials and future outlooks. Phase change materials are well known and studied in many contexts, and photonics is a longstanding field, with photonic neuromorphic computing recently gathering interest. However, the two fields are disparate and few people understand the key concepts needed to integrate the two. This book will be the first to do so in this promising field. It is suitable for researchers and practitioners in academia and industry working in the disciplines of materials science and engineering, electrical engineering and computing. - Introduces the advanced fundamental concepts of photonics computing and phase change materials - Reviews the remaining challenges to translation, opportunities and future outlooks - Addresses definitions, historical context, foundational concepts and the latest advances of phase change materials-based photonics computing

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 Security Opportunities in Nano Devices and Emerging Technologies written by Mark Tehranipoor and published by CRC Press. This book was released on 2017-11-22 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research community lacks both the capability to explain the effectiveness of existing techniques and the metrics to predict the security properties and vulnerabilities of the next generation of nano-devices and systems. This book provides in-depth viewpoints on security issues and explains how nano devices and their unique properties can address the opportunities and challenges of the security community, manufacturers, system integrators, and end users. This book elevates security as a fundamental design parameter, transforming the way new nano-devices are developed. Part 1 focuses on nano devices and building security primitives. Part 2 focuses on emerging technologies and integrations.

Download or read book Computational Neuroscience for Advancing Artificial Intelligence Models Methods and Applications written by Alonso, Eduardo and published by IGI Global. This book was released on 2010-11-30 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"--

Download or read book Genetic Programming Theory and Practice XVIII written by Wolfgang Banzhaf and published by Springer Nature. This book was released on 2022-02-11 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Download or read book Neuromorphic Engineering written by Elishai Ezra Tsur and published by CRC Press. This book was released on 2021-08-27 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: The brain is not a glorified digital computer. It does not store information in registers, and it does not mathematically transform mental representations to establish perception or behavior. The brain cannot be downloaded to a computer to provide immortality, nor can it destroy the world by having its emerged consciousness traveling in cyberspace. However, studying the brain's core computation architecture can inspire scientists, computer architects, and algorithm designers to think fundamentally differently about their craft. Neuromorphic engineers have the ultimate goal of realizing machines with some aspects of cognitive intelligence. They aspire to design computing architectures that could surpass existing digital von Neumann-based computing architectures' performance. In that sense, brain research bears the promise of a new computing paradigm. As part of a complete cognitive hardware and software ecosystem, neuromorphic engineering opens new frontiers for neuro-robotics, artificial intelligence, and supercomputing applications. This book will present neuromorphic engineering from three perspectives: the scientist, the computer architect, and the algorithm designer. We will zoom in and out of the different disciplines, allowing readers with diverse backgrounds to understand and appreciate the field. Overall, the book will cover the basics of neuronal modeling, neuromorphic circuits, neural architectures, event-based communication, and the neural engineering framework. Readers will have the opportunity to understand the different views over the inherently multidisciplinary field of neuromorphic engineering.

Download or read book Artificial Neural Networks as Models of Neural Information Processing written by Marcel van Gerven and published by Frontiers Media SA. This book was released on 2018-02-01 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.

Download or read book Predictive Analytics written by Dursun Delen and published by FT Press. This book was released on 2020-12-15 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers key data mining processes and methods, relevant data management techniques, tools and metrics, advanced text and web mining, big data integration, and much more. Balancing theory and practice, Delen presents intuitive conceptual illustrations, realistic example problems, and real-world case studies—including lessons from failed projects. It's all designed to help you gain a practical understanding you can apply for profit. * Leverage knowledge extracted via data mining to make smarter decisions * Use standardized processes and workflows to make more trustworthy predictions * Predict discrete outcomes (via classification), numeric values (via regression), and changes over time (via time-series forecasting) * Understand predictive algorithms drawn from traditional statistics and advanced machine learning * Discover cutting-edge techniques, and explore advanced applications ranging from sentiment analysis to fraud detection

Download or read book The Path to Autonomous Robots written by Gaurav Sukhatme and published by Springer Science & Business Media. This book was released on 2008-12-18 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: The principal chapters of this book form a collection of technical articles sp- ning many areas of research in robotics, these are followed by a set of short r- iniscences and tributes written by former students of Professor George A. Bekey. Professor Bekey, a pioneer in robotics, retired from the University of Southern C- ifornia (USC) in 2002 after serving on its faculty for forty years. He maintains an association with USC as University Professor Emeritus. Professor Bekey turned 80 in June 2008 - this is his Festschrift. As one of Professor Bekey’s former students, it has been my privilege to know him for many years. This book represents the collective warm feelings of his former students, who remember their association with him in the fondest terms. Part I of this book is composed of technical chapters representing threads of active robotics research knitted loosely together. In many cases the themes of the chapters have their origins in the work the authors did when they were graduate students with Professor Bekey. These chapters are written for the reader interested in a sampling of modern research in Autonomous Robots. It is my hope that, for the serious reader, these chapters will serve as invitations to explore the ?eld via further reading and research.

Download or read book Photonics Elements for Sensing and Optical Conversions written by Nikolay L. Kazanskiy and published by CRC Press. This book was released on 2023-12-08 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a number of a rapidly growing areas of knowledge that may be termed as diffractive nanophotonics. It also discusses in detail photonic components that may find uses in sensorics and optical transformations. Photonics Elements for Sensing and Optical Conversions, covers a number of rapidly growing areas of knowledge that may be termed as diffractive nanophotonics. The book examines the advances in computational electrodynamics and nanoelectronics that have made it possible to design and manufacture novel types of photonic components and devices boasting unique properties unattainable in the realm of classical optics. The authors discuss plasmonic sensors, and new types of wavefront sensors and nanolasers that are widely used in telecommunications, quantum informatics and optical transformations. The book also deals with the recent advances in the plasmonic sensors based on metal-insulator-metal waveguides for biochemical sensing applications. Additionally, nanolasers are examined in detail, with a focus on contemporary issues, the book also deals with the fundamentals and highly attractive applications of metamaterials and metasurfaces. The authors provide an insight into sensors based on Zernike optical decomposition using a multi-order diffractive optical element, and explore the performance advances that can be achieved with optical computing. The book is written for opticians, scientists and researchers who are interested in an interesting section of plasmonic sensors, new types of wavefront sensors and nanolasers, and optical transformations. The book will be bought by upper graduate and graduate level students looking to specialize in photonics and optics.

Download or read book Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices written by Manan Suri and published by Springer. This book was released on 2017-01-21 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices. Special emphasis is given to leading works in hybrid low-power CMOS-Nanodevice design. The book offers readers a bidirectional (top-down and bottom-up) perspective on designing efficient bio-inspired hardware. At the nanodevice level, it focuses on various flavors of emerging resistive memory (RRAM) technology. At the algorithm level, it addresses optimized implementations of supervised and stochastic learning paradigms such as: spike-time-dependent plasticity (STDP), long-term potentiation (LTP), long-term depression (LTD), extreme learning machines (ELM) and early adoptions of restricted Boltzmann machines (RBM) to name a few. The contributions discuss system-level power/energy/parasitic trade-offs, and complex real-world applications. The book is suited for both advanced researchers and students interested in the field.

Download or read book Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications written by Christos Volos and published by Academic Press. This book was released on 2021-06-17 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. - Covers a broad range of interdisciplinary topics between mathematics, circuits, realizations, and practical applications related to nonlinear dynamical systems, nanotechnology, analog and digital systems, computer science and artificial intelligence - Presents recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) - Includes interesting applications of mem-elements in nonlinear dynamical systems, analog and digital systems, neuromorphic circuits, computer science and artificial intelligence