Neuromorphic Circuits For Nanoscale Devices

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Neuromorphic Circuits for Nanoscale Devices

Author : Pinaki Mazumder,Yalcin Yilmaz,Idongesit Ebong
Publisher : CRC Press
Page : 407 pages
File Size : 49,8 Mb
Release : 2022-09-01
Category : Technology & Engineering
ISBN : 9781000795790

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Neuromorphic Circuits for Nanoscale Devices by Pinaki Mazumder,Yalcin Yilmaz,Idongesit Ebong Pdf

Nanoscale devices attracted significant research effort from the industry and academia due to their operation principals being based on different physical properties which provide advantages in the design of certain classes of circuits over conventional CMOS transistors. Neuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide insight into how the operational principles of the nanoscale devices can be utilized for the design of neuromorphic circuits for various applications of non-volatile memory, neural network training/learning, and image processing. The topics discussed in the book include:Nanoscale Crossbar Memory DesignQ-Learning and Value Iteration using Nanoscale DevicesImage Processing and Computer Vision Applications for Nanoscale DevicesNanoscale Devices based Cellular Nonlinear/Neural Networks

Neuromorphic Circuits for Nanoscale Devices

Author : Pinaki Mazumder,Yalcin Yilmaz,Idongesit Ebong
Publisher : River Publishers Biomedical En
Page : 0 pages
File Size : 48,9 Mb
Release : 2019-03-31
Category : Technology & Engineering
ISBN : 8770220603

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Neuromorphic Circuits for Nanoscale Devices by Pinaki Mazumder,Yalcin Yilmaz,Idongesit Ebong Pdf

Nanoscale devices attracted significant research effort from the industry and academia due to their operation principals being based on different physical properties which provide advantages in the design of certain classes of circuits over conventional CMOS transistors. Neuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide insight into how the operational principles of the nanoscale devices can be utilized for the design of neuromorphic circuits for various applications of non-volatile memory, neural network training/learning, and image processing. The topics discussed in the book include: Nanoscale Crossbar Memory Design Q-Learning and Value Iteration using Nanoscale Devices Image Processing and Computer Vision Applications for Nanoscale Devices Nanoscale Devices based Cellular Nonlinear/Neural Networks

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

Author : Manan Suri
Publisher : Springer
Page : 210 pages
File Size : 49,8 Mb
Release : 2017-01-21
Category : Technology & Engineering
ISBN : 9788132237037

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Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices by Manan Suri Pdf

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.

Nanoscale Memristor Device and Circuits Design

Author : Balwinder Raj,Ahmed Hemani,Abusaleh M. Jabir,Saurabh Khandelwal
Publisher : Elsevier
Page : 254 pages
File Size : 42,8 Mb
Release : 2023-11-20
Category : Technology & Engineering
ISBN : 9780323998116

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Nanoscale Memristor Device and Circuits Design by Balwinder Raj,Ahmed Hemani,Abusaleh M. Jabir,Saurabh Khandelwal Pdf

Nanoscale Memristor Device and Circuits Design provides theoretical frameworks, including (i) the background of memristors, (ii) physics of memristor and their modeling, (iii) menristive device applications, and (iv) circuit design for security and authentication. The book focuses on a broad aspect of realization of these applications as low cost and reliable devices. This is an important reference that will help materials scientists and engineers understand the production and applications of nanoscale memrister devices. A memristor is a two-terminal memory nanoscale device that stores information in terms of high/low resistance. It can retain information even when the power source is removed, i.e., "non-volatile." In contrast to MOS Transistors (MOST), which are the building blocks of all modern mobile and computing devices, memristors are relatively immune to radiation, as well as parasitic effects, such as capacitance, and can be much more reliable. This is extremely attractive for critical safety applications, such as nuclear and aerospace, where radiation can cause failure in MOST-based systems. Outlines the major principles of circuit design for nanoelectronic applications Explores major applications, including memristor-based memories, sensors, solar cells, or memristor-based hardware and software security applications Assesses the major challenges to manufacturing nanoscale memristor devices at an industrial scale

Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design

Author : Nan Zheng,Pinaki Mazumder
Publisher : John Wiley & Sons
Page : 389 pages
File Size : 43,6 Mb
Release : 2019-10-18
Category : Computers
ISBN : 9781119507406

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Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design by Nan Zheng,Pinaki Mazumder Pdf

Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities—and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks. The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware. Includes cross-layer survey of hardware accelerators for neuromorphic algorithms Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Author : Christos Volos,Viet-Thanh Pham
Publisher : Academic Press
Page : 570 pages
File Size : 45,7 Mb
Release : 2021-06-17
Category : Technology & Engineering
ISBN : 9780128232026

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Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications by Christos Volos,Viet-Thanh Pham Pdf

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

Memristor

Author : Yao-Feng Chang
Publisher : BoD – Books on Demand
Page : 180 pages
File Size : 50,8 Mb
Release : 2021-11-17
Category : Technology & Engineering
ISBN : 9781839689567

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Memristor by Yao-Feng Chang Pdf

This book provides a platform for interdisciplinary research into unconventional computing with emerging physical substrates. With a focus on memristor devices, the chapter authors discuss a wide range of topics, including memristor theory, mathematical modelling, circuit theory, memristor-mate, memristor security, artificial intelligence, and much more.

Circuits at the Nanoscale

Author : Krzysztof Iniewski
Publisher : CRC Press
Page : 602 pages
File Size : 54,5 Mb
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 9781420070637

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Circuits at the Nanoscale by Krzysztof Iniewski Pdf

Circuits for Emerging Technologies Beyond CMOS New exciting opportunities are abounding in the field of body area networks, wireless communications, data networking, and optical imaging. In response to these developments, top-notch international experts in industry and academia present Circuits at the Nanoscale: Communications, Imaging, and Sensing. This volume, unique in both its scope and its focus, addresses the state-of-the-art in integrated circuit design in the context of emerging systems. A must for anyone serious about circuit design for future technologies, this book discusses emerging materials that can take system performance beyond standard CMOS. These include Silicon on Insulator (SOI), Silicon Germanium (SiGe), and Indium Phosphide (InP). Three-dimensional CMOS integration and co-integration with Microelectromechanical (MEMS) technology and radiation sensors are described as well. Topics in the book are divided into comprehensive sections on emerging design techniques, mixed-signal CMOS circuits, circuits for communications, and circuits for imaging and sensing. Dr. Krzysztof Iniewski is a director at CMOS Emerging Technologies, Inc., a consulting company in Vancouver, British Columbia. His current research interests are in VLSI ciruits for medical applications. He has published over 100 research papers in international journals and conferences, and he holds 18 international patents granted in the United States, Canada, France, Germany, and Japan. In this volume, he has assembled the contributions of over 60 world-reknown experts who are at the top of their field in the world of circuit design, advancing the bank of knowledge for all who work in this exciting and burgeoning area.

Nanoscale Networking and Communications Handbook

Author : John R. Vacca
Publisher : CRC Press
Page : 445 pages
File Size : 54,6 Mb
Release : 2019-07-05
Category : Computers
ISBN : 9780429531071

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Nanoscale Networking and Communications Handbook by John R. Vacca Pdf

This comprehensive handbook serves as a professional reference as well as a practitioner's guide to today's most complete and concise view of nanoscale networking and communications. It offers in-depth coverage of theory, technology, and practice as they relate to established technologies and recent advancements. It explores practical solutions to a wide range of nanoscale networking and communications issues. Individual chapters, authored by leading experts in the field, address the immediate and long-term challenges in the authors' respective areas of expertise.

Advances in Neuromorphic Memristor Science and Applications

Author : Robert Kozma,Robinson E. Pino,Giovanni E. Pazienza
Publisher : Springer Science & Business Media
Page : 318 pages
File Size : 46,9 Mb
Release : 2012-06-28
Category : Medical
ISBN : 9789400744912

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Advances in Neuromorphic Memristor Science and Applications by Robert Kozma,Robinson E. Pino,Giovanni E. Pazienza Pdf

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.

Nanoelectronic Circuit Design

Author : Niraj K. Jha,Deming Chen
Publisher : Springer Science & Business Media
Page : 489 pages
File Size : 46,5 Mb
Release : 2010-12-21
Category : Technology & Engineering
ISBN : 9781441976093

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Nanoelectronic Circuit Design by Niraj K. Jha,Deming Chen Pdf

This book is about large-scale electronic circuits design driven by nanotechnology, where nanotechnology is broadly defined as building circuits using nanoscale devices that are either implemented with nanomaterials (e.g., nanotubes or nanowires) or following an unconventional method (e.g., FinFET or III/V compound-based devices). These nanoscale devices have significant potential to revolutionize the fabrication and integration of electronic systems and scale beyond the perceived scaling limitations of traditional CMOS. While innovations in nanotechnology originate at the individual device level, realizing the true impact of electronic systems demands that these device-level capabilities be translated into system-level benefits. This is the first book to focus on nanoscale circuits and their design issues, bridging the existing gap between nanodevice research and nanosystem design.

Reservoir Computing

Author : Kohei Nakajima,Ingo Fischer
Publisher : Springer Nature
Page : 463 pages
File Size : 40,6 Mb
Release : 2021-08-05
Category : Computers
ISBN : 9789811316876

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Reservoir Computing by Kohei Nakajima,Ingo Fischer Pdf

This book is the first comprehensive book about reservoir computing (RC). RC is a powerful and broadly applicable computational framework based on recurrent neural networks. Its advantages lie in small training data set requirements, fast training, inherent memory and high flexibility for various hardware implementations. It originated from computational neuroscience and machine learning but has, in recent years, spread dramatically, and has been introduced into a wide variety of fields, including complex systems science, physics, material science, biological science, quantum machine learning, optical communication systems, and robotics. Reviewing the current state of the art and providing a concise guide to the field, this book introduces readers to its basic concepts, theory, techniques, physical implementations and applications. The book is sub-structured into two major parts: theory and physical implementations. Both parts consist of a compilation of chapters, authored by leading experts in their respective fields. The first part is devoted to theoretical developments of RC, extending the framework from the conventional recurrent neural network context to a more general dynamical systems context. With this broadened perspective, RC is not restricted to the area of machine learning but is being connected to a much wider class of systems. The second part of the book focuses on the utilization of physical dynamical systems as reservoirs, a framework referred to as physical reservoir computing. A variety of physical systems and substrates have already been suggested and used for the implementation of reservoir computing. Among these physical systems which cover a wide range of spatial and temporal scales, are mechanical and optical systems, nanomaterials, spintronics, and quantum many body systems. This book offers a valuable resource for researchers (Ph.D. students and experts alike) and practitioners working in the field of machine learning, artificial intelligence, robotics, neuromorphic computing, complex systems, and physics.

Nanoscale Devices

Author : Brajesh Kumar Kaushik
Publisher : CRC Press
Page : 432 pages
File Size : 52,9 Mb
Release : 2018-11-16
Category : Science
ISBN : 9781351670227

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Nanoscale Devices by Brajesh Kumar Kaushik Pdf

The primary aim of this book is to discuss various aspects of nanoscale device design and their applications including transport mechanism, modeling, and circuit applications. . Provides a platform for modeling and analysis of state-of-the-art devices in nanoscale regime, reviews issues related to optimizing the sub-nanometer device performance and addresses simulation aspect and/or fabrication process of devices Also, includes design problems at the end of each chapter

Innovative Applications of Nanowires for Circuit Design

Author : Raj, Balwinder
Publisher : IGI Global
Page : 263 pages
File Size : 50,6 Mb
Release : 2020-11-20
Category : Technology & Engineering
ISBN : 9781799864691

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Innovative Applications of Nanowires for Circuit Design by Raj, Balwinder Pdf

Nanowires are an important sector of circuit design whose applications in very-large-scale integration design (VLSI) have huge impacts for bringing revolutionary advancements in nanoscale devices, circuits, and systems due to improved electronic properties of the nanowires. Nanowires are potential devices for VLSI circuits and system applications and are highly preferred in novel nanoscale devices due to their high mobility and high-driving capacity. Although the knowledge and resources for the fabrication of nanowires is currently limited, it is predicted that, with the advancement of technology, conventional fabrication flow can be used for nanoscale devices, specifically nanowires. Innovative Applications of Nanowires for Circuit Design provides relevant theoretical frameworks that include device physics, modeling, circuit design, and the latest developments in experimental fabrication in the field of nanotechnology. The book covers advanced modeling concepts of nanowires along with their role as a key enabler for innovation in GLSI devices, circuits, and systems. While highlighting topics such as design, simulation, types and applications, and performance analysis of nanowires, this book is ideally intended for engineers, practitioners, stakeholders, academicians, researchers, and students interested in electronics engineering, nanoscience, and nanotechnology.

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Author : Jordi Suñé
Publisher : MDPI
Page : 244 pages
File Size : 40,7 Mb
Release : 2020-04-09
Category : Technology & Engineering
ISBN : 9783039285761

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Memristors for Neuromorphic Circuits and Artificial Intelligence Applications by Jordi Suñé Pdf

Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.