Author: Lutz Stephan Nielen
Publisher: BoD – Books on Demand
ISBN: 3751972862
Category : Technology & Engineering
Languages : en
Pages : 174
Get Book
Book Description
The upcoming trends in information technology follow irresistibly the predicted changes of the Internet of Things (IoT). That requires enhanced performance of mobile electronics, thus memory techniques face a growing number of challenges. Redox-based resistive switches (ReRAM) are highly attractive devices for implementation of ultimately-scaled energy-efficient memories. In this thesis, associative memories and sorting networks based on resistive switches are investigated. These cognitive functions highlight the potential of brain inspired computing in memory and are considered as a key-enabler for beyond von-Neumann computer architectures.
Author: Leon Chua
Publisher: Springer Nature
ISBN: 331976375X
Category : Computers
Languages : en
Pages : 1368
Get Book
Book Description
This Handbook presents all aspects of memristor networks in an easy to read and tutorial style. Including many colour illustrations, it covers the foundations of memristor theory and applications, the technology of memristive devices, revised models of the Hodgkin-Huxley Equations and ion channels, neuromorphic architectures, and analyses of the dynamic behaviour of memristive networks. It also shows how to realise computing devices, non-von Neumann architectures and provides future building blocks for deep learning hardware. With contributions from leaders in computer science, mathematics, electronics, physics, material science and engineering, the book offers an indispensable source of information and an inspiring reference text for future generations of computer scientists, mathematicians, physicists, material scientists and engineers working in this dynamic field.
Author: Andrew Adamatzky
Publisher: Springer Science & Business Media
ISBN: 3319026305
Category : Computers
Languages : en
Pages : 716
Get Book
Book Description
Using memristors one can achieve circuit functionalities that are not possible to establish with resistors, capacitors and inductors, therefore the memristor is of great pragmatic usefulness. Potential unique applications of memristors are in spintronic devices, ultra-dense information storage, neuromorphic circuits and programmable electronics. Memristor Networks focuses on the design, fabrication, modelling of and implementation of computation in spatially extended discrete media with many memristors. Top experts in computer science, mathematics, electronics, physics and computer engineering present foundations of the memristor theory and applications, demonstrate how to design neuromorphic network architectures based on memristor assembles, analyse varieties of the dynamic behaviour of memristive networks and show how to realise computing devices from memristors. All aspects of memristor networks are presented in detail, in a fully accessible style. An indispensable source of information and an inspiring reference text, Memristor Networks is an invaluable resource for future generations of computer scientists, mathematicians, physicists and engineers.
Author: Matthew R. Kelley
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 374
Get Book
Book Description
The goal of the applied memory volume is to highlight many interesting and creative applications of basic memory phenomena that are underrepresented, or even unrepresented, in the literature. Authors were charged with the task of reviewing relevant basic and applied research and offering new empirical investigations into the applications of these benchmark phenomena. To this end, Applied Memory, consists of 17 chapters that explore the influences of generation, irrelevant speech, verbal overshadowing, isolation, part-set cuing, reminiscence, hyperemnesia, placebos, mental state, metamemory knowledge, flashbulb events, and traumatic events on memory in everyday settings, as well as applications of source memory, social memory, involuntary autobiographical memory, dream memory, and strategic memory regulation. The volume is designed as a resource for basic and applied memory researchers and as a supplementary text in graduate or upper-level undergraduate courses in cognitive psychology, human memory, or applied psychology.
Author: Maria A. Brandimonte
Publisher: Psychology Press
ISBN: 1317780671
Category : Psychology
Languages : en
Pages : 466
Get Book
Book Description
Devoted exclusively to prospective memory, this volume organizes the research and thoughts of the important contributors to the field in one comprehensive resource. The chapter authors not only focus on their own work, but also review other research areas and address those where the methods and theories from the retrospective memory literature are useful and where they fall short. Each section is followed by at least one commentary written by a prominent scholar in the field of memory. The commentators present critical analyses of the chapters, note ideas that they found particularly exciting, and use these ideas as a foundation on which to elaborate their own views of prospective memory. This volume will stimulate the thinking of active prospective memory researchers, provide a coherent organization of the area for the increasing number of people who are interested in prospective memory but who are not yet actively conducting research in the area, and serve as a book of readings for upper division seminars.
Author: Manan Suri
Publisher: Springer
ISBN: 813223703X
Category : Technology & Engineering
Languages : en
Pages : 210
Get Book
Book Description
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.
Author: Yoshio Nishi
Publisher: Woodhead Publishing
ISBN: 0081025858
Category : Science
Languages : en
Pages : 662
Get Book
Book Description
Advances in Nonvolatile Memory and Storage Technology, Second Edition, addresses recent developments in the non-volatile memory spectrum, from fundamental understanding, to technological aspects. The book provides up-to-date information on the current memory technologies as related by leading experts in both academia and industry. To reflect the rapidly changing field, many new chapters have been included to feature the latest in RRAM technology, STT-RAM, memristors and more. The new edition describes the emerging technologies including oxide-based ferroelectric memories, MRAM technologies, and 3D memory. Finally, to further widen the discussion on the applications space, neuromorphic computing aspects have been included. This book is a key resource for postgraduate students and academic researchers in physics, materials science and electrical engineering. In addition, it will be a valuable tool for research and development managers concerned with electronics, semiconductors, nanotechnology, solid-state memories, magnetic materials, organic materials and portable electronic devices. Discusses emerging devices and research trends, such as neuromorphic computing and oxide-based ferroelectric memories Provides an overview on developing nonvolatile memory and storage technologies and explores their strengths and weaknesses Examines improvements to flash technology, charge trapping and resistive random access memory
Author:
Publisher: BoD – Books on Demand
ISBN: 1803561432
Category : Computers
Languages : en
Pages : 298
Get Book
Book Description
Dive into the cutting-edge world of Neuromorphic Computing, a groundbreaking volume that unravels the secrets of brain-inspired computational paradigms. Spanning neuroscience, artificial intelligence, and hardware design, this book presents a comprehensive exploration of neuromorphic systems, empowering both experts and newcomers to embrace the limitless potential of brain-inspired computing. Discover the fundamental principles that underpin neural computation as we journey through the origins of neuromorphic architectures, meticulously crafted to mimic the brain’s intricate neural networks. Unlock the true essence of learning mechanisms – unsupervised, supervised, and reinforcement learning – and witness how these innovations are shaping the future of artificial intelligence.
Author: Arun Sinha
Publisher: CRC Press
ISBN: 1003810268
Category : Technology & Engineering
Languages : en
Pages : 300
Get Book
Book Description
"Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology. The book journeys through a wide range of topics from healthcare to energy management, autonomous robotics, and wireless communication, showcasing the transformative potential of intelligent embedded systems in these fields. This concise volume introduces readers to innovative techniques and their practical applications, offers a comparative analysis of wireless protocols, and provides efficient resource allocation strategies in IoT-based ecosystems. With real-world examples and in-depth case studies, it serves as an invaluable resource for students and professionals seeking to harness the power of embedded technology to shape our digital future. Salient Features: The book provides a comprehensive coverage of various aspects of smart embedded systems, exploring their design, implementation, optimization, and a range of applications. This is further enhanced by in-depth discussions on hardware and software optimizations aimed at improving overall system performance. A detailed examination of machine learning techniques specifically tailored for data analysis and prediction within embedded systems. This complements the exploration of cutting-edge research on the use of AI to enhance wireless communications. Real-world applications of these technologies are extensively discussed, with a focus on areas such as seizure detection, noise reduction, health monitoring, diabetic care, autonomous vehicles, and communication systems. This includes a deep-dive into different wireless protocols utilized for data transfer in IoT systems. This book highlights key IoT technologies and their myriad applications, extending from environmental data collection to health monitoring. This is underscored by case studies on the integration of AI and IoT in healthcare, spanning topics from anomaly detection to informed clinical decision-making. Also featured is a detailed evaluation and comparison of different system implementations and methodologies This book is an essential read for anyone interested in the field of embedded systems. Whether you're a student looking to broaden your knowledge base, researchers looking in-depth insights, or professionals planning to use this cutting-edge technology in real-world applications, this book offers a thorough grounding in the subject.
Author: Sabina Spiga
Publisher: Woodhead Publishing
ISBN: 0081027877
Category : Technology & Engineering
Languages : en
Pages : 569
Get Book
Book Description
Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. Provides readers an overview of four key concepts in this emerging research topic including materials and device aspects, algorithmic aspects, circuits and architectures and target applications Covers a broad range of applications, including brain-inspired computing, computational memory, deep learning and spiking neural networks Includes perspectives from a wide range of disciplines, including materials science, electrical engineering and computing, providing a unique interdisciplinary look at the field
