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Silicon Architectures For Neural Nets
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Book Synopsis Silicon Architectures for Neural Nets by : Mariagiovanna Sami
Download or read book Silicon Architectures for Neural Nets written by Mariagiovanna Sami and published by North Holland. This book was released on 1991 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers presented within this volume deal with architectures suitable for, and problems typical of, silicon implementation of neural nets. Analog solutions, as opposed to digital ones, are widely advocated as an attractive implementation, given compactness of the obtained architectures, low power consumption, and ease of emulating the analog behaviour of biological networks. Also, a mixed-mode solution, combining the analog/neural and the digital/logical processing aspects is advocated.
Book Synopsis Neural Network Design by : Martin T. Hagan
Download or read book Neural Network Design written by Martin T. Hagan and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parallel Architectures And Neural Networks: Fourth Italian Workshop by : E R Caianiello
Download or read book Parallel Architectures And Neural Networks: Fourth Italian Workshop written by E R Caianiello and published by World Scientific. This book was released on 1991-11-12 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organized and supported by IIASS and other Italian institutions, this Workshop in Vietri sul Mare has now become a permanent annual event. The aim is to foster closer links among all groups and individuals working in Europe in this inter- and multi-disciplinary area. Topics cover models, architectures and applications.
Book Synopsis VLSI Design of Neural Networks by : Ulrich Ramacher
Download or read book VLSI Design of Neural Networks written by Ulrich Ramacher and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: The early era of neural network hardware design (starting at 1985) was mainly technology driven. Designers used almost exclusively analog signal processing concepts for the recall mode. Learning was deemed not to cause a problem because the number of implementable synapses was still so low that the determination of weights and thresholds could be left to conventional computers. Instead, designers tried to directly map neural parallelity into hardware. The architectural concepts were accordingly simple and produced the so called interconnection problem which, in turn, made many engineers believe it could be solved by optical implementation in adequate fashion only. Furthermore, the inherent fault-tolerance and limited computation accuracy of neural networks were claimed to justify that little effort is to be spend on careful design, but most effort be put on technology issues. As a result, it was almost impossible to predict whether an electronic neural network would function in the way it was simulated to do. This limited the use of the first neuro-chips for further experimentation, not to mention that real-world applications called for much more synapses than could be implemented on a single chip at that time. Meanwhile matters have matured. It is recognized that isolated definition of the effort of analog multiplication, for instance, would be just as inappropriate on the part ofthe chip designer as determination of the weights by simulation, without allowing for the computing accuracy that can be achieved, on the part of the user.
Book Synopsis Embedded Deep Learning by : Bert Moons
Download or read book Embedded Deep Learning written by Bert Moons and published by Springer. This book was released on 2018-10-23 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic design approaches on the application-, algorithmic-, computer architecture-, and circuit-level that will help in achieving the goal of reducing the computational cost of deep learning algorithms. The impact of these techniques is displayed in four silicon prototypes for embedded deep learning. Gives a wide overview of a series of effective solutions for energy-efficient neural networks on battery constrained wearable devices; Discusses the optimization of neural networks for embedded deployment on all levels of the design hierarchy – applications, algorithms, hardware architectures, and circuits – supported by real silicon prototypes; Elaborates on how to design efficient Convolutional Neural Network processors, exploiting parallelism and data-reuse, sparse operations, and low-precision computations; Supports the introduced theory and design concepts by four real silicon prototypes. The physical realization’s implementation and achieved performances are discussed elaborately to illustrated and highlight the introduced cross-layer design concepts.
Book Synopsis Artificial Neural Networks, 2 by : I. Aleksander
Download or read book Artificial Neural Networks, 2 written by I. Aleksander and published by Elsevier. This book was released on 2014-06-28 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume proceedings compilation is a selection of research papers presented at the ICANN-92. The scope of the volumes is interdisciplinary, ranging from the minutiae of VLSI hardware, to new discoveries in neurobiology, through to the workings of the human mind. USA and European research is well represented, including not only new thoughts from old masters but also a large number of first-time authors who are ensuring the continued development of the field.
Book Synopsis Neural Networks and Systolic Array Design by : Sankar K. Pal
Download or read book Neural Networks and Systolic Array Design written by Sankar K. Pal and published by World Scientific. This book was released on 2002 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.
Book Synopsis Neural Nets (Wirn Vietri-92) - Proceedings Of The Fifth Italian Workshop by : E R Caianiello
Download or read book Neural Nets (Wirn Vietri-92) - Proceedings Of The Fifth Italian Workshop written by E R Caianiello and published by World Scientific. This book was released on 1993-02-04 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: The textbook aims to present general relativity and modern cosmology in a friendly form suitable for advanced undergraduates. The text begins with a self-contained introduction to the theory of manifolds and then develops the tools needed to understand curved spaces and curved spacetimes. Special relativity can then be understood in a geometrical context, bypassing some of the difficulties students have when encountering relativistic effects (e.g. time dilation and length contraction) for the first time. The theory of curvature and its effects leads to the Einstein field equations and its classic tests in the precession of Mercury and the deflection of starlight.The second part of the book covers modern cosmology, starting with the evolution equations for the expansion of the universe. The microwave background, evidence for dark matter, and the clustering of galaxies are examined in detail.
Author :Jose G. Delgado-Frias Publisher :Springer Science & Business Media ISBN 13 :1461537525 Total Pages :411 pages Book Rating :4.4/5 (615 download)
Book Synopsis VLSI for Artificial Intelligence and Neural Networks by : Jose G. Delgado-Frias
Download or read book VLSI for Artificial Intelligence and Neural Networks written by Jose G. Delgado-Frias and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an edited selection of the papers presented at the International Workshop on VLSI for Artifidal Intelligence and Neural Networks which was held at the University of Oxford in September 1990. Our thanks go to all the contributors and especially to the programme committee for all their hard work. Thanks are also due to the ACM-SIGARCH, the IEEE Computer Society, and the lEE for publicizing the event and to the University of Oxford and SUNY-Binghamton for their active support. We are particularly grateful to Anna Morris, Maureen Doherty and Laura Duffy for coping with the administrative problems. Jose Delgado-Frias Will Moore April 1991 vii PROLOGUE Artificial intelligence and neural network algorithms/computing have increased in complexity as well as in the number of applications. This in tum has posed a tremendous need for a larger computational power than can be provided by conventional scalar processors which are oriented towards numeric and data manipulations. Due to the artificial intelligence requirements (symbolic manipulation, knowledge representation, non-deterministic computations and dynamic resource allocation) and neural network computing approach (non-programming and learning), a different set of constraints and demands are imposed on the computer architectures for these applications.
Book Synopsis Architecture of Computing Systems by : Georgios Goumas
Download or read book Architecture of Computing Systems written by Georgios Goumas and published by Springer Nature. This book was released on 2023-09-26 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 36th International Conference on Architecture of Computing Systems, ARCS 2023, which took place in Athens, Greece, in June 2023. The 18 full papers in this volume were carefully reviewed and selected from 35 submissions. ARCS provides a platform covering newly emerging and cross-cutting topics, such as autonomous and ubiquitous systems, reconfigurable computing and acceleration, neural networks and artificial intelligence. The selected papers cover a variety of topics from the ARCS core domains, including energy efficiency, applied machine learning, hardware and software system security, reliable and fault-tolerant systems and organic computing. Back to top
Book Synopsis IJCNN International Joint Conference on Neural Networks by :
Download or read book IJCNN International Joint Conference on Neural Networks written by and published by . This book was released on 1991 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings written by and published by . This book was released on 1991 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parallel Architectures And Neural Networks - Third Italian Workshop by : E R Caianiello
Download or read book Parallel Architectures And Neural Networks - Third Italian Workshop written by E R Caianiello and published by World Scientific. This book was released on 1990-12-13 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer Architecture by : Charles Fox
Download or read book Computer Architecture written by Charles Fox and published by No Starch Press. This book was released on 2024-05-07 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Not since the 1980s has computer architecture been so exciting! This book captures the moment, mining the history of computing to teach key concepts in modern hardware design and introduce the neural and quantum architectures of the future. Computer Architecture is an in-depth exploration of the principles and designs that have shaped computer hardware through the ages, from counting devices like the abacus, to Babbage’s Difference Engine, to modern GPUs and the frontiers of quantum computing. This engaging blend of history, theory, hands-on exercises, and real-world examples is sure to make for an insightful romp through a fast-changing world. You won’t just read about computer architecture, you’ll also gain the understanding to touch, build, and program it. You’ll explore the basic structures of a CPU by learning to program a Victorian Analytical Engine. You’ll extend electronic machines to 8-bit and 16-bit retro gaming computers, learning to program a Commodore 64 and an Amiga. You’ll delve into x86 and RISC-V architectures, cloud and supercomputers, and ideas for future technologies. You’ll also learn: • How to represent data with different coding schemes and build digital logic gates • The basics of machine and assembly language programming • How pipelining, out-of-order execution, and parallelism work, in context • The power and promise of neural networks, DNA, photonics, and quantum computing Whether you’re a student, a professional, or simply a tech enthusiast, after reading this book, you’ll grasp the milestones of computer architecture and be able to engage directly with the technology that defines today’s world. Prepare to be inspired, challenged, and above all, see and experience the digital world, hands-on.
Book Synopsis Analog VLSI Neural Networks by : Yoshiyasu Takefuji
Download or read book Analog VLSI Neural Networks written by Yoshiyasu Takefuji and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together in one place important contributions and state-of-the-art research in the rapidly advancing area of analog VLSI neural networks. The book serves as an excellent reference, providing insights into some of the most important issues in analog VLSI neural networks research efforts.
Book Synopsis Handbook of VLSI Chip Design and Expert Systems by : A. F. Schwarz
Download or read book Handbook of VLSI Chip Design and Expert Systems written by A. F. Schwarz and published by Academic Press. This book was released on 2014-05-10 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of VLSI Chip Design and Expert Systems provides information pertinent to the fundamental aspects of expert systems, which provides a knowledge-based approach to problem solving. This book discusses the use of expert systems in every possible subtask of VLSI chip design as well as in the interrelations between the subtasks. Organized into nine chapters, this book begins with an overview of design automation, which can be identified as Computer-Aided Design of Circuits and Systems (CADCAS). This text then presents the progress in artificial intelligence, with emphasis on expert systems. Other chapters consider the impact of design automation, which exploits the basic capabilities of computers to perform complex calculations and to handle huge amounts of data with a high speed and accuracy. This book discusses as well the characterization of microprocessors. The final chapter deals with interactive I/O devices. This book is a valuable resource for system design experts, circuit analysts and designers, logic designers, device engineers, technologists, and application-specific designers.
Book Synopsis Symbiosis of Real and Simulated Worlds Under Spatial Grasp Technology by : Peter Simon Sapaty
Download or read book Symbiosis of Real and Simulated Worlds Under Spatial Grasp Technology written by Peter Simon Sapaty and published by Springer Nature. This book was released on 2021-03-05 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates new important applications of the Spatial Grasp Technology (SGT) allowing us to effectively simulate and manage large distributed dynamic systems on semantic and holistic levels. This patented technology, developed for decades and in different countries, is based on a completely different philosophy and model allowing us to directly operate in united distributed physical and virtual spaces and provide system solutions much simpler and more compact than under other approaches. The described applications include basic operations suitable for solving many network-related problems, simulation of such mysterious concept as consciousness so important for the design of advanced intelligent systems, modelling the spread of viruses and distribution of antivirus vaccine, and also implementation of the latest decision-centric and mosaic-based organizational concepts important for modern defence and industrial systems. The described technology version with its Spatial Grasp Language can be implemented even within university environments, with communicating language interpreter copies, potentially numbering millions to billions, easily embedded into any existing systems, including Internet, thus converting the whole world into a powerful symbiotic simulation management engine. The book is oriented on system scientists, application programmers, industry managers, and also university students interested in advanced M.Sc. and Ph.D. projects related to distributed system management.
