Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications

Book Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications Cover

Read or download book entitled Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications written by Christos Volos and published by Academic Press in PDF, EPUB and Kindle Format. Click Get This Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like. We cannot guarantee that Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications book is available in the library.

  • Publisher : Academic Press
  • Release : 15 July 2021
  • ISBN : 0128211849
  • Page : 500 pages
  • Rating : 4.5/5 from 103 voters

Download Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications in PDF, Epub and Kindle

Mem-elements for Neuromorphic Circuits and Artificial Intelligence Applications illustrates recent advances and achievements in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and especially in neuromorphic circuits and artificial intelligence. This book has a particular focus on mem-elements (memristor, memcapacitor, and meminductor) and their applications. It is mainly devoted to present the most recent results as well as critical aspects and perspectives of on-going research on relevant topics, all of them involving networks of mem-elements devices used in diverse applications. This book contributes to the discussion of memristive materials and transport mechanisms, to present various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling as an essential aspect of mem-elements research. The last decade the increasing interest of the research community for the recent advances on mem-elements and their applications in neuromorphic circuits and artificial intelligence will attract researchers of 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

GET THIS BOOK

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications
  • Author : Christos Volos,Viet-Thanh Pham
  • Publisher : Academic Press
  • Release Date : 2021-07-15
  • ISBN : 0128211849
GET THIS BOOKMem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Mem-elements for Neuromorphic Circuits and Artificial Intelligence Applications illustrates recent advances and achievements in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and especially in neuromorphic circuits and artificial intelligence. This book has a particular focus on mem-elements (memristor, memcapacitor, and meminductor) and their applications. It is mainly devoted to present the most recent results as well as critical aspects and perspectives of on-going research on relevant topics,

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications
  • Author : Christos Volos,Viet-Thanh Pham
  • Publisher : Academic Press
  • Release Date : 2021-07-01
  • ISBN : 9780128232026
GET THIS BOOKMem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

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

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
  • Author : Jordi Suñé
  • Publisher : MDPI
  • Release Date : 2020-04-09
  • ISBN : 9783039285761
GET THIS BOOKMemristors for Neuromorphic Circuits and Artificial Intelligence Applications

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

Advances in Neuromorphic Memristor Science and Applications

Advances in Neuromorphic Memristor Science and Applications
  • Author : Robert Kozma,Robinson E. Pino,Giovanni E. Pazienza
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-06-28
  • ISBN : 9789400744912
GET THIS BOOKAdvances in Neuromorphic Memristor Science and Applications

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

Memristor and Memristive Neural Networks

Memristor and Memristive Neural Networks
  • Author : Alex James
  • Publisher : BoD – Books on Demand
  • Release Date : 2018-04-04
  • ISBN : 9789535139478
GET THIS BOOKMemristor and Memristive Neural Networks

This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors

Memristor Computing Systems

Memristor Computing Systems
  • Author : Leon O. Chua,Ronald Tetzlaff,Angela Slavova
  • Publisher : Springer Nature
  • Release Date : 2022-07-25
  • ISBN : 9783030905828
GET THIS BOOKMemristor Computing Systems

This contributed volume offers practical solutions and design-, modeling-, and implementation-related insights that address current research problems in memristors, memristive devices, and memristor computing. The book studies and addresses related challenges in and proposes solutions for the future of memristor computing. State-of-the-art research on memristor modeling, memristive interconnections, memory circuit architectures, software simulation tools, and applications of memristors in computing are presented. Utilising contributions from numerous experts in the field, written in clear language and illustrated throughout, this book is

Neuromorphic Devices for Brain-inspired Computing

Neuromorphic Devices for Brain-inspired Computing
  • Author : Qing Wan,Yi Shi
  • Publisher : John Wiley & Sons
  • Release Date : 2022-05-16
  • ISBN : 9783527349791
GET THIS BOOKNeuromorphic Devices for Brain-inspired Computing

Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications. Summarizing recent progress made in five distinct configurations of brain-inspired

Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design

Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design
  • Author : Huanglong Li,J. Joshua Yang,Hongsik Jeong
  • Publisher : Frontiers Media SA
  • Release Date : 2022-02-21
  • ISBN : 9782889744602
GET THIS BOOKMemristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design

Advances and Applications in Nonlinear Control Systems

Advances and Applications in Nonlinear Control Systems
  • Author : Sundarapandian Vaidyanathan,Christos Volos
  • Publisher : Springer
  • Release Date : 2016-03-17
  • ISBN : 9783319301693
GET THIS BOOKAdvances and Applications in Nonlinear Control Systems

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,

Evolving Nano-scale Associative Memories with Memristors

Evolving Nano-scale Associative Memories with Memristors
  • Author : Arpita Sinha
  • Publisher : Unknown
  • Release Date : 2011
  • ISBN : OCLC:801977700
GET THIS BOOKEvolving Nano-scale Associative Memories with Memristors

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,

Springer Handbook of Computational Intelligence

Springer Handbook of Computational Intelligence
  • Author : Janusz Kacprzyk,Witold Pedrycz
  • Publisher : Springer
  • Release Date : 2015-05-28
  • ISBN : 9783662435052
GET THIS BOOKSpringer Handbook of Computational Intelligence

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence

Hardware for Artificial Intelligence

Hardware for Artificial Intelligence
  • Author : Alexantrou Serb,Melika Payvand,Irem Boybat,Oliver Rhodes
  • Publisher : Frontiers Media SA
  • Release Date : 2022-09-26
  • ISBN : 9782889763986
GET THIS BOOKHardware for Artificial Intelligence

Efficient Processing of Deep Neural Networks

Efficient Processing of Deep Neural Networks
  • Author : Vivienne Sze,Yu-Hsin Chen,Tien-Ju Yang,Joel S. Emer
  • Publisher : Morgan & Claypool Publishers
  • Release Date : 2020-06-24
  • ISBN : 9781681738321
GET THIS BOOKEfficient Processing of Deep Neural Networks

This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or

Backstepping Control of Nonlinear Dynamical Systems

Backstepping Control of Nonlinear Dynamical Systems
  • Author : Sundarapandian Vaidyanathan,Ahmad Taher Azar
  • Publisher : Academic Press
  • Release Date : 2020-08-15
  • ISBN : 9780128175835
GET THIS BOOKBackstepping Control of Nonlinear Dynamical Systems

Backstepping Control of Nonlinear Dynamical Systems addresses both the fundamentals of backstepping control and advances in the field. The latest techniques explored include ‘active backstepping control’, ‘adaptive backstepping control’, ‘fuzzy backstepping control’ and ‘adaptive fuzzy backstepping control’. The reference book provides numerous simulations using MATLAB and circuit design. These illustrate the main results of theory and applications of backstepping control of nonlinear control systems. Backstepping control encompasses varied aspects of mechanical engineering and has many different applications within the field.

Memristor Networks

Memristor Networks
  • Author : Andrew Adamatzky,Leon Chua
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-12-18
  • ISBN : 9783319026305
GET THIS BOOKMemristor Networks

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