Primer To Neuromorphic Computing

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Primer to Neuromorphic Computing

Author : Harish Garg
Publisher : Academic Press
ISBN 13 : 9780443214806
Total Pages : 0 pages
Book Rating : 4.2/5 (148 download)

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Book Synopsis Primer to Neuromorphic Computing by : Harish Garg

Download or read book Primer to Neuromorphic Computing written by Harish Garg and published by Academic Press. This book was released on 2024-09-01 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.

A Primer on Machine Learning Applications in Civil Engineering

Author : Paresh Chandra Deka
Publisher : CRC Press
ISBN 13 : 0429836651
Total Pages : 201 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis A Primer on Machine Learning Applications in Civil Engineering by : Paresh Chandra Deka

Download or read book A Primer on Machine Learning Applications in Civil Engineering written by Paresh Chandra Deka and published by CRC Press. This book was released on 2019-10-28 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included. Features Exclusive information on machine learning and data analytics applications with respect to civil engineering Includes many machine learning techniques in numerous civil engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water resources and hydrological modeling, geotechnical engineering, construction engineering and management, coastal and marine engineering, and geographical information systems Includes MATLAB® exercises

Handbook of Neural Computing Applications

Author : Alianna J. Maren
Publisher : Academic Press
ISBN 13 : 148326484X
Total Pages : 472 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Handbook of Neural Computing Applications by : Alianna J. Maren

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.

Neuromorphic Photonic Devices and Applications

Author : Min Gu
Publisher : Elsevier
ISBN 13 : 0323972608
Total Pages : 415 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Neuromorphic Photonic Devices and Applications by : Min Gu

Download or read book Neuromorphic Photonic Devices and Applications written by Min Gu and published by Elsevier. This book was released on 2023-12-15 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

A Primer on Machine Learning in Subsurface Geosciences

Author : Shuvajit Bhattacharya
Publisher : Springer Nature
ISBN 13 : 3030717682
Total Pages : 172 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis A Primer on Machine Learning in Subsurface Geosciences by : Shuvajit Bhattacharya

Download or read book A Primer on Machine Learning in Subsurface Geosciences written by Shuvajit Bhattacharya and published by Springer Nature. This book was released on 2021-05-03 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics, geomechanics, and geochemistry. It then presents the real-world applications and explains that, while this disruption has affected the top-level executives, geoscientists as well as field operators in the industry and academia, machine learning will ultimately benefit these users. The book is written by a practitioner of machine learning and statistics, keeping geoscientists in mind. It highlights the need to go beyond concepts covered in STAT 101 courses and embrace new computational tools to solve complex problems in geosciences. It also offers practitioners, researchers, and academics insights into how to identify, develop, deploy, and recommend fit-for-purpose machine learning models to solve real-world problems in subsurface geosciences.

Massively Parallel, Optical, and Neural Computing in the United States

Author : Gilbert Kalb
Publisher : IOS Press
ISBN 13 : 9789051990973
Total Pages : 220 pages
Book Rating : 4.9/5 (99 download)

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Book Synopsis Massively Parallel, Optical, and Neural Computing in the United States by : Gilbert Kalb

Download or read book Massively Parallel, Optical, and Neural Computing in the United States written by Gilbert Kalb and published by IOS Press. This book was released on 1992 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of products and research projects in the field of highly parallel, optical and neural computers in the USA. It covers operating systems, language projects and market analysis, as well as optical computing devices and optical connections of electronic parts.

Neuromorphic Photonics

Author : Paul R. Prucnal
Publisher : CRC Press
ISBN 13 : 1498725244
Total Pages : 412 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Neuromorphic Photonics by : Paul R. Prucnal

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.

Phase Change Materials-Based Photonic Computing

Author : Harish Bhaskaran
Publisher : Elsevier
ISBN 13 : 012823492X
Total Pages : 272 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Phase Change Materials-Based Photonic Computing by : Harish Bhaskaran

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, including brief video lectures to accompany each chapter 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

Expert Systems and Related Topics

Author : Marlene A. Palmer
Publisher : IGI Global
ISBN 13 : 9781878289032
Total Pages : 170 pages
Book Rating : 4.2/5 (89 download)

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Book Synopsis Expert Systems and Related Topics by : Marlene A. Palmer

Download or read book Expert Systems and Related Topics written by Marlene A. Palmer and published by IGI Global. This book was released on 1990-01-01 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference to all areas of expert systems and applications, plus advanced related topics, lets you spend your time reading expert systems literature rather than searching for it. It gives you a source of historical perspectives and outlooks on the future of the field. Whether you are a manager, a developer or an end user or researcher, Expert Systems and Related Topics: Selected Bibliography & Guide to Information Sources puts all the sources of expert systems literature at your fingertips.

Neural Computing for Advanced Applications

Author : Haijun Zhang
Publisher : Springer Nature
ISBN 13 : 9811961352
Total Pages : 532 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Neural Computing for Advanced Applications by : Haijun Zhang

Download or read book Neural Computing for Advanced Applications written by Haijun Zhang and published by Springer Nature. This book was released on 2022-10-20 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8–10, 2022. The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and their industrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19).

Neural Networks in Bioprocessing and Chemical Engineering

Author : D. R. Baughman
Publisher : Academic Press
ISBN 13 : 1483295656
Total Pages : 509 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Neural Networks in Bioprocessing and Chemical Engineering by : D. R. Baughman

Download or read book Neural Networks in Bioprocessing and Chemical Engineering written by D. R. Baughman and published by Academic Press. This book was released on 2014-06-28 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks have received a great deal of attention among scientists and engineers. In chemical engineering, neural computing has moved from pioneering projects toward mainstream industrial applications. This book introduces the fundamental principles of neural computing, and is the first to focus on its practical applications in bioprocessing and chemical engineering. Examples, problems, and 10 detailed case studies demonstrate how to develop, train, and apply neural networks. A disk containing input data files for all illustrative examples, case studies, and practice problems provides the opportunity for hands-on experience. An important goal of the book is to help the student or practitioner learn and implement neural networks quickly and inexpensively using commercially available, PC-based software tools. Detailed network specifications and training procedures are included for all neural network examples discussed in the book. Each chapter contains an introduction, chapter summary, references to further reading, practice problems, and a section on nomenclature Includes a PC-compatible disk containing input data files for examples, case studies, and practice problems Presents 10 detailed case studies Contains an extensive glossary, explaining terminology used in neural network applications in science and engineering Provides examples, problems, and ten detailed case studies of neural computing applications, including: Process fault-diagnosis of a chemical reactor Leonard Kramer fault-classification problem Process fault-diagnosis for an unsteady-state continuous stirred-tank reactor system Classification of protein secondary-structure categories Quantitative prediction and regression analysis of complex chemical kinetics Software-based sensors for quantitative predictions of product compositions from flourescent spectra in bioprocessing Quality control and optimization of an autoclave curing process for manufacturing composite materials Predictive modeling of an experimental batch fermentation process Supervisory control of the Tennessee Eastman plantwide control problem Predictive modeling and optimal design of extractive bioseparation in aqueous two-phase systems

Advanced Computer Architectures

Author : Sajjan G. Shiva
Publisher : CRC Press
ISBN 13 : 1420056174
Total Pages : 352 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Advanced Computer Architectures by : Sajjan G. Shiva

Download or read book Advanced Computer Architectures written by Sajjan G. Shiva and published by CRC Press. This book was released on 2018-10-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the tremendous advances in performance enabled by modern architectures, there are always new applications and demands arising that require ever-increasing capabilities. Keeping up with these demands requires a deep-seated understanding of contemporary architectures in concert with a fundamental understanding of basic principles that allows one to anticipate what will be possible over the system's lifetime. Advanced Computer Architectures focuses on the design of high performance supercomputers with balanced coverage of the hardware, software structures, and application characteristics. This book is a timeless distillation of underlying principles punctuated by real-world implementations in popular current and past commercially available systems. It briefly reviews the basics of uniprocessor architecture before outlining the most popular processing paradigms, performance evaluation, and cost factor considerations. This builds to a discussion of pipeline design and vector processors, data parallel architectures, and multiprocessor systems. Rounding out the book, the final chapter explores some important current and emerging trends such as Dataflow, Grid, biology-inspired, and optical computing. More than 220 figures, tables, and equations illustrate the concepts presented. Based on the author's more than thirty years of teaching and research, Advanced Computer Architectures endows you with the tools necessary to reach the limits of existing technology, and ultimately, to break them.

Security Opportunities in Nano Devices and Emerging Technologies

Author : Mark Tehranipoor
Publisher : CRC Press
ISBN 13 : 1351965905
Total Pages : 377 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Security Opportunities in Nano Devices and Emerging Technologies by : Mark Tehranipoor

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 377 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.

Information-Theoretic Aspects of Neural Networks

Author : P. S. Neelakanta
Publisher : CRC Press
ISBN 13 : 100014125X
Total Pages : 233 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Information-Theoretic Aspects of Neural Networks by : P. S. Neelakanta

Download or read book Information-Theoretic Aspects of Neural Networks written by P. S. Neelakanta and published by CRC Press. This book was released on 2020-09-23 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information storage, information-theoretic based cost-functions, and neurocybernetics and self-organization. Existing studies only sparsely cover the entropy and/or cybernetic aspects of neural information. Information-Theoretic Aspects of Neural Networks cohesively explores this burgeoning discipline, covering topics such as: Shannon information and information dynamics neural complexity as an information processing system memory and information storage in the interconnected neural web extremum (maximum and minimum) information entropy neural network training non-conventional, statistical distance-measures for neural network optimizations symmetric and asymmetric characteristics of information-theoretic error-metrics algorithmic complexity based representation of neural information-theoretic parameters genetic algorithms versus neural information dynamics of neurocybernetics viewed in the information-theoretic plane nonlinear, information-theoretic transfer function of the neural cellular units statistical mechanics, neural networks, and information theory semiotic framework of neural information processing and neural information flow fuzzy information and neural networks neural dynamics conceived through fuzzy information parameters neural information flow dynamics informatics of neural stochastic resonance Information-Theoretic Aspects of Neural Networks acts as an exceptional resource for engineers, scientists, and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. The information in this book explores new avenues in the field and creates a common platform for analyzing the neural complex as well as artificial neural networks.

Genetic Programming Theory and Practice XVIII

Author : Wolfgang Banzhaf
Publisher : Springer Nature
ISBN 13 : 9811681139
Total Pages : 220 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Genetic Programming Theory and Practice XVIII by : Wolfgang Banzhaf

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.

Neural Data Science

Author : Erik Lee Nylen
Publisher : Academic Press
ISBN 13 : 012804098X
Total Pages : 370 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Neural Data Science by : Erik Lee Nylen

Download or read book Neural Data Science written by Erik Lee Nylen and published by Academic Press. This book was released on 2017-02-24 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Primer with MATLAB® and PythonTM present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner’s introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility. Includes discussions of both MATLAB and Python in parallel Introduces the canonical data analysis cascade, standardizing the data analysis flow Presents tactics that strategically, tactically, and algorithmically help improve the organization of code

Computational Psychiatry

Author : Peggy Series
Publisher : MIT Press
ISBN 13 : 0262360713
Total Pages : 344 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Computational Psychiatry by : Peggy Series

Download or read book Computational Psychiatry written by Peggy Series and published by MIT Press. This book was released on 2020-11-24 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first introductory textbook in the emerging, fast-developing field of computational psychiatry. Computational psychiatry applies computational modeling and theoretical approaches to psychiatric questions, focusing on building mathematical models of neural or cognitive phenomena relevant to psychiatric diseases. It is a young and rapidly growing field, drawing on concepts from psychiatry, psychology, computer science, neuroscience, electrical and chemical engineering, mathematics, and physics. This book, accessible to nonspecialists, offers the first introductory textbook in computational psychiatry.