Download or read book MemComputing written by Massimiliano Di Ventra and published by Oxford University Press. This book was released on 2022-02-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: MemComputing is a new computing paradigm that employs time non-locality (memory) to both process and store information. This book, written by the originator of this paradigm, explains the main ideas behind MemComputing, explores its theoretical foundations, and shows its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechanics. The book is ideal for graduate students in Physics, Computer Science, Electrical Engineering, and Mathematics, as well as researchers in both academia and industry interested in unconventional computing. The author relies on extensive margin notes, important remarks, and many illustrations to better explain the main concepts and clarify jargon, making the book as self-contained as possible. The reader will be guided from the basic notions to the more advanced ones with an always clear and engaging writing style. Along the way, the reader will appreciate the advantages of this computing paradigm and the major differences that set it apart from the prevailing Turing model of computation, and even quantum computing.
Download or read book Advances in Artificial Intelligence based Technologies written by Maria Virvou and published by Springer Nature. This book was released on 2021-10-02 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
Download or read book Handbook of Laser Technology and Applications written by Chunlei Guo and published by CRC Press. This book was released on 2021-06-23 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Memristive Neuromorphics Materials Devices Circuits Architectures Algorithms and their Co Design written by Huanglong Li and published by Frontiers Media SA. This book was released on 2022-02-21 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Investigation of the Physics of Digital Memcomputing Machines written by Sean Rhett-Burke Bearden and published by . This book was released on 2020 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation will review and compile several advancements in the development of digital memcomputing machines. Memcomputing is an efficient computing paradigm that uses memory to process and store information in the same physical location. Digital memcomputing machines have been introduced as a scalable version of the memcomputing paradigm. The memcomputing paradigm can be used to solve difficult constraint satisfaction and combinatorial optimization problems. Herein, Boolean satisfiability problems will be used as benchmarks. This dissertation will introduce the digital memcomputing machine, detailing self-organizing logic circuits and investigating the operation of their fundamental units: self-organizing logic gates. The dynamical system that describes a digital memcomputing machine will be numerically integrated with a forward-Euler scheme. The robustness of the dynamical system to noise allows for the use of a simple integration scheme. We find power-law scalability in the typical-case of hard clause distribution control instances of 3-SAT. We anticipate our results to broaden research directions in physics-inspired computing paradigms ranging from theory to application, from simulation to hardware implementation.
Download or read book Fundamental General Knowledge for Competitive Exams with FREE eCourse 5th Edition written by Disha Experts and published by Disha Publications. This book was released on 2021-09-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Fundamentals of General Knowledge for Competitive Exams UPSC State PCS SSC Banking Railways MBA Defence 4th Edition written by Disha Experts and published by Disha Publications. This book was released on with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thoroughly updated 4th edition of the book Current Affairs 2019 captures the Most Important Events, Issues, Ideas & People of 2018 in a very lucid and student friendly manner. It is essential for aspirants to keep themselves updated as just knowing things can get them more marks in such exams. Moreover Current Affairs prove to be very important tool to handle GD and PI. It comes in handy for the aspirants of UPSC, SSC, Banking, Insurance, Railways, Engg. Services and AFCAT etc. Infographics, Charts and MindMaps have facilitated information quickly and clearly. The information provided is in line with the analysis of previous years' competitive exams papers which will help aspirants update on all happenings across India and the world.
Download or read book THE MEGA YEARBOOK 2019 Current Affairs General Knowledge for Competitive Exams 4th Edition written by Disha Experts and published by Disha Publications. This book was released on with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lakshya NTA JEE MAIN - Past 10 Varsh Solved Papers + 10 Mock Tests (3 Online Tests) Hindi edition provides you the past 10 years JEE Main (2009 - 18) solved papers with one 2018 Online Paper and 10 Mock Tests ( 7 in Book & 3 Online) exactly on the latest pattern expected for NTA JEE Main 2019. The book is FULLY SOLVED and constitutes around 1890 most important MCQs.
Download or read book Computational Matter written by Susan Stepney and published by Springer. This book was released on 2018-07-20 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, covering four main areas of interest: theory, practice, applications and implications. Each chapter synthesizes current understanding by deliberately bringing together researchers across a collection of related research projects. The book is useful for graduate students, researchers in the field, and the general scientific reader who is interested in inherently interdisciplinary research at the intersections of computer science, biology, chemistry, physics, engineering and mathematics.
Download or read book Metal Oxides for Non volatile Memory written by Panagiotis Dimitrakis and published by Elsevier. This book was released on 2022-03-01 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metal Oxides for Non-volatile Memory: Materials, Technology and Applications covers the technology and applications of metal oxides (MOx) in non-volatile memory (NVM) technology. The book addresses all types of NVMs, including floating-gate memories, 3-D memories, charge-trapping memories, quantum-dot memories, resistance switching memories and memristors, Mott memories and transparent memories. Applications of MOx in DRAM technology where they play a crucial role to the DRAM evolution are also addressed. The book offers a broad scope, encompassing discussions of materials properties, deposition methods, design and fabrication, and circuit and system level applications of metal oxides to non-volatile memory. Finally, the book addresses one of the most promising materials that may lead to a solution to the challenges in chip size and capacity for memory technologies, particular for mobile applications and embedded systems. - Systematically covers metal oxides materials and their properties with memory technology applications, including floating-gate memory, 3-D memory, memristors, and much more - Provides an overview on the most relevant deposition methods, including sputtering, CVD, ALD and MBE - Discusses the design and fabrication of metal oxides for wide breadth of non-volatile memory applications from 3-D flash technology, transparent memory and DRAM technology
Download or read book Memristor written by Yao-Feng Chang and published by BoD – Books on Demand. This book was released on 2021-11-17 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Bio Inspired Information Pathways written by Martin Ziegler and published by Springer Nature. This book was released on with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Memristor and Memristive Neural Networks written by Alex James and published by BoD – Books on Demand. This book was released on 2018-04-04 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.
Download or read book Memristors and Memelements written by Massimiliano Di Ventra and published by Springer Nature. This book was released on 2023-01-25 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written by two pioneers in the field, provides a clear and concise description of memristors and other memory elements. It stresses the difference between their mathematical definition and physical reality. The reader will then be able to distinguish between what is experimentally realizable and various fictitious claims that plague the scientific literature. The discussion is kept simple enough that the book should be easily accessible not only to graduate students and researchers in Physics and Engineering, but also to undergraduate students interested in this topic.
Download or read book The Truth About Your Future written by Ric Edelman and published by Simon and Schuster. This book was released on 2017-03-28 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: The instant New York Times bestseller from legendary investment guru Ric Edelman, who presents a prescient personal finance guide on how technology and science will reshape the way we save, invest, and plan for the future. In The Truth About Your Future, award-winning financial advisor Ric Edelman reveals how technology and science are evolving at a blistering, almost incomprehensible pace—with profound implications for your personal finances. Ric radically upends traditional financial planning, showing that you need not just one financial plan, but three—one for now, one for later and one for much later. He explains: Why you’re likely to live much longer—and the impact on your financial future; how you must alter your plans to shift from the familiar linear lifeline (school-job-retirement-death) to the new cyclical lifeline; the importance of Career Planning—even if you’re in your fifties or sixties; how to invest in tech companies and how to generate income from your investments; why nursing homes are becoming obsolete—and with them, long-term care insurance policies, and what this means for you; how to protect your digital assets; and how you’ll spend your time—and money—in retirement, and why the future will be the happiest time of your life. The traditional paradigms of how we live, learn, and invest are shifting under our feet. Fortunately, Ric Edelman has seen the future, and in The Truth About Your Future he illustrates how smart investors can adapt and thrive in today’s changing marketplace. Newcomers and loyal Edelman followers alike will find value in his proven advice and trademark humor. This is a must-have guide for anyone serious about successfully adapting to the ever-evolving financial landscape.
Download or read book Memcomputing Artificial Intelligence written by Haik Manukian and published by . This book was released on 2021 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like sentinels guarding a secret treasure, computationally difficult problems define the edge of what can be accomplished across science and industry. The current computing orthodoxy, based on physical realization of the Turing machine via the von Neumann architecture, has begun to stagnate, as seen in the slowing down of Moore’s 'law'. Hardware has saturated around its architectural (von Neumann) bottleneck, leading to a growing interest in unconventional computing architectures like quantum computing and neuromorphic computing. In this thesis, we examine a new alternative, the brain-inspired computing paradigm, memcomputing, which computes with and in memory. The dynamical systems induced by digital memcomputing machines (DMMs) are applicable to a large family of optimization problems. DMMs use memory, or learn, from past dynamics to explore the phase space of the underlying problem in a drastically different way than typical algorithmic approaches, opening up many potential benefits from optimization to sampling. Some of the most challenging computational problems (and biggest rewards) come from the attempt to instill intelligent behavior in machines, known as the field of artificial intelligence. The first chapter is a warm up with a hardware model of DMMs applied to numerical inversion problems, then we quickly move to the major theme throughout this work, which is the application of DMMs to computational demanding problems in artificial intelligence. The model we focus on is the Boltzmann machine, which is seen as an ancestor to the more popular feedforward neural networks. It no longer makes headlines not because it lacks capability, but rather our training methods lack the ability to train it, leaving much of its capacity unexplored. In this work we apply memcomputing to the training of Boltzmann machines through the development of mode-assisted training. This is a technique that uses memcomputing to sample the mode of the Boltzmann machine, and uses that to stabilize and improve the weight update algorithms. Mode-assisted training improves the performance of DBNs in a downstream supervised task, the unsupervised learning of RBMs as well as the joint training of deep Boltzmann machines, doing as well or better than networks containing two orders of magnitude more parameters.
Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Nature. This book was released on 2019-09-12 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.
