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Mem Elements For Neuromorphic Circuits With Artificial Intelligence Applications

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Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications

Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications Book
Author : Christos Volos,Viet-Thanh Pham
Publisher : Academic Press
Release : 2021-07-01
ISBN : 0128232021
Language : En, Es, Fr & De

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Book Description :

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

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications Book
Author : Jordi Suñé
Publisher : MDPI
Release : 2020-04-09
ISBN : 3039285769
Language : En, Es, Fr & De

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Book Description :

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.

Advances in Neuromorphic Memristor Science and Applications

Advances in Neuromorphic Memristor Science and Applications Book
Author : Robert Kozma,Robinson E. Pino,Giovanni E. Pazienza
Publisher : Springer Science & Business Media
Release : 2012-06-28
ISBN : 9400744919
Language : En, Es, Fr & De

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Book Description :

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.

Handbook of Laser Technology and Applications

Handbook of Laser Technology and Applications Book
Author : Chunlei Guo
Publisher : CRC Press
Release : 2021-06-24
ISBN : 1000297020
Language : En, Es, Fr & De

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Book Description :

This comprehensive handbook gives a fully updated guide to lasers and laser technologies, including the complete range of their technical applications. This forth volume covers laser applications in the medical, metrology and communications fields. Key Features: • Offers a complete update of the original, bestselling work, including many brand-new chapters. • Deepens the introduction to fundamentals, from laser design and fabrication to host matrices for solid-state lasers, energy level diagrams, hosting materials, dopant energy levels, and lasers based on nonlinear effects. • Covers new laser types, including quantum cascade lasers, silicon-based lasers, titanium sapphire lasers, terahertz lasers, bismuth-doped fiber lasers, and diode-pumped alkali lasers. • Discusses the latest applications, e.g., lasers in microscopy, high-speed imaging, attosecond metrology, 3D printing, optical atomic clocks, time-resolved spectroscopy, polarization and profile measurements, pulse measurements, and laser-induced fluorescence detection. • Adds new sections on laser materials processing, laser spectroscopy, lasers in imaging, lasers in environmental sciences, and lasers in communications. This handbook is the ideal companion for scientists, engineers, and students working with lasers, including those in optics, electrical engineering, physics, chemistry, biomedicine, and other relevant areas.

Evolving Nano scale Associative Memories with Memristors

Evolving Nano scale Associative Memories with Memristors Book
Author : Arpita Sinha
Publisher : Unknown
Release : 2011
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Associative Memories (AMs) are essential building blocks for brain-like intelligent computing with applications in artificial vision, speech recognition, artificial intelligence, and robotics. Computations for such applications typically rely on spatial and temporal associations in the input patterns and need to be robust against noise and incomplete patterns. The conventional method for implementing AMs is through Artificial Neural Networks (ANNs). Improving the density of ANN based on conventional circuit elements poses a challenge as devices reach their physical scalability limits. Furthermore, stored information in AMs is vulnerable to destructive input signals. Novel nano-scale components, such as memristors, represent one solution to the density problem. Memristors are non-linear time-dependent circuit elements with an inherently small form factor. However, novel neuromorphic circuits typically use memristors to replace synapses in conventional ANN circuits. This sub-optimal use is primarily because there is no established design methodology to exploit the memristor's non-linear properties in a more encompassing way. The objective of this thesis is to explore denser and more robust AM designs using memristor networks. We hypothesize that such network AMs will be more area-efficient than the traditional ANN designs if we can use the memristor's non-linear property for spatial and time-dependent temporal association. We have built a comprehensive simulation framework that employs Genetic Programming (GP) to evolve AM circuits with memristors. The framework is based on the ParadisEO metaheuristics API and uses ngspice for the circuit evaluation. Our results show that we can evolve efficient memristor-based networks that have the potential to replace conventional ANNs used for AMs. We obtained AMs that a) can learn spatial and temporal correlation in the input patterns; b) optimize the trade-off between the size and the accuracy of the circuits; and c) are robust against destructive noise in the inputs. This robustness was achieved at the expense of additional components in the network. We have shown that automated circuit discovery is a promising tool for memristor-based circuits. Future work will focus on evolving circuits that can be used as a building block for more complicated intelligent computing architectures.

Security Opportunities in Nano Devices and Emerging Technologies

Security Opportunities in Nano Devices and Emerging Technologies Book
Author : Mark Tehranipoor,Domenic Forte,Garrett S. Rose,Swarup Bhunia
Publisher : CRC Press
Release : 2017-11-22
ISBN : 1351965905
Language : En, Es, Fr & De

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Book Description :

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.

Advances and Applications in Nonlinear Control Systems

Advances and Applications in Nonlinear Control Systems Book
Author : Sundarapandian Vaidyanathan,Christos Volos
Publisher : Springer
Release : 2016-03-17
ISBN : 3319301691
Language : En, Es, Fr & De

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Book Description :

The book reports on the latest advances and applications of nonlinear control systems. It consists of 30 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of nonlinear control systems such as robotics, nonlinear circuits, power systems, memristors, underwater vehicles, chemical processes, observer design, output regulation, backstepping control, sliding mode control, time-delayed control, variables structure control, robust adaptive control, fuzzy logic control, chaos, hyperchaos, jerk systems, hyperjerk systems, chaos control, chaos synchronization, etc. Special importance was given to chapters offering practical solutions, modeling and novel control methods for the recent research problems in nonlinear control systems. This book will serve as a reference book for graduate students and researchers with a basic knowledge of electrical and control systems engineering. The resulting design procedures on the nonlinear control systems are emphasized using MATLAB software.

Memristors

Memristors Book
Author : Alex James
Publisher : BoD – Books on Demand
Release : 2020-05-27
ISBN : 1789840732
Language : En, Es, Fr & De

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Book Description :

This Edited Volume Memristors - Circuits and Applications of Memristor Devices is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of Engineering. The book comprises single chapters authored by various researchers and edited by an expert active in the physical sciences, engineering, and technology research areas. All chapters are complete in itself but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors on physical sciences, engineering, and technology,and open new possible research paths for further novel developments.

Nonlinear Circuits and Systems with Memristors

Nonlinear Circuits and Systems with Memristors Book
Author : Fernando Corinto
Publisher : Springer Nature
Release : 2020
ISBN : 3030556514
Language : En, Es, Fr & De

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Book Description :

Download Nonlinear Circuits and Systems with Memristors book written by Fernando Corinto, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Memristive Devices for Brain Inspired Computing

Memristive Devices for Brain Inspired Computing Book
Author : Sabina Spiga,Abu Sebastian,Bipin Rajendran,Damien Querlioz
Publisher : Woodhead Publishing Limited
Release : 2019-12
ISBN : 9780081027820
Language : En, Es, Fr & De

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Book Description :

Memristive Devices in 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 resistive memory devices beyond storage applications and towards 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