vlsi artificial intelligence (32 Ergebnisse)

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Taschenbuch. Zustand: Neu. VLSI for Artificial Intelligence and Neural Networks | Jose G. Delgado-Frias (u. a.) | Taschenbuch | xiii | Englisch | 2012 | Springer | EAN 9781461366713 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardcover. Zustand: Brand New. revised expanded edition. 332 pages. 9.26x6.11x9.21 inches. In Stock.

Buch. Zustand: Neu. Neuware -This book contains revised and extended versions of a selection of papers presented at the 31st IFIP WG 10.5/IEEE International Conference on the theme of VLSI-SoC Innovations for Trustworthy Artificial Intelligence, VLSI-SoC 2023, held in Sharjah, United Arab Emirates, during October 16-18, 2023.The 15 full papers included in this volume were carefully revised and expanded from 77 papers submitted to the conference. This edited volume has been organized into four parts: architectures; accelerators; resiliency and robustness; and security and privacy - and is representing cutting-edge research at the forefront of VLSI technology.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 332 pp. Englisch.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains revised and extendedversions of a selection of papers presented at the 31st IFIP WG 10.5/IEEE International Conference on the theme ofVLSI-SoC Innovations for Trustworthy Artificial Intelligence, VLSI-SoC 2023, held in Sharjah, United Arab Emirates,duringOctober 16-18, 2023.The15 full papers included in this volume were carefully revised and expanded from 77 paperssubmitted to the conference. This edited volume has been organized into four parts: architectures; accelerators; resiliency and robustness; and security and privacy - and is representing cutting-edge research at the forefront of VLSI technology.

Gebunden. Zustand: New. Architecture and Hardware Support for AI Processing: VLSI Design of a 3D Highly Parallel MessagePassing Architecture (J.L. Bechennec et al.). Architectural Design of the Rewrite Rule Machine Ensemble (H. Aida et al.). A Dataflow Architecture for AI (J. Delg.

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Architecture and Hardware Support for AI Processing: VLSI Design of a 3D Highly Parallel MessagePassing Architecture (J.L. Bechennec et al.). Architectural Design of the Rewrite Rule Machine Ensemble (H. Aida et al.). A Dataflow Architecture for AI (J. DelgadoFrias et al.). Machines for Prolog: An Extended Prolog Instruction Set for RISC Processors (A. Krall). A VLSI Engine for Structured Logic Programming (P. Civera et al.). Performance Evaluation of a VLSI Associative Unifier in a WAM Based Environment (P. Civera et al.). Analogue and Pulse Stream Neural Networks: Computational Capabilities of BiologicallyRealistic Analog Processing Elements (C. Fields et al.). Analog VLSI Models of Mean Field Networks (C. Schneider et al.). An Analogue Neuron Suitable for a Data Frame Architecture (W.A.J. Waller et al.). Digital Implementations of Neural Networks: The VLSI Implementation of the sigma Architecture (S.R. Williams et al.). A Cascadable VLSI Architecture for the Realization of Large Binary Associative Networks (W. Poechmueller et al.). Digital VLSI Implementations of an Associative memory Based on Neural Networks (U. Rückert). Arrays for Neural Networks: A Highly Parallel Digital Architecture for Neural Network Emulation (D. Hammerstrom). 26 additional articles. Index.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Taschenbuch. Zustand: Neu. VLSI for Artificial Intelligence | Jose G. Delgado-Frias (u. a.) | Taschenbuch | xiv | Englisch | 2011 | Springer | EAN 9781461288954 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. An Artificial Intelligence Approach to VLSI Routing | R. Joobbani | Taschenbuch | xxii | Englisch | 2011 | Springer US | EAN 9781461296065 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New. Editor(s): Delgado-Frias, Jose G.; Moore, Will. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 274 pages, biography. BIC Classification: TJFC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 17. Weight in Grams: 586. . 1989. Hardback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Routing of VLSI chips is an important, time consuming, and difficult problem. The difficulty of the problem is attributed to the large number of often conflicting factors that affect the routing quality. Traditional techniques have approached routing by ignoring some of these factors and imposing unnecessary constraints in order to make routing tractable. In addition to the imposition of these restrictions, which simplify the problems to a degree but at the same time reduce the routing quality, traditional approaches use brute force. They often transform the problem into mathematical or graph problems and completely ignore the specific knowledge about the routing task that can greatly help the solution. This thesis overcomes some of the above problems and presents a system that performs routing close to what human designers do. In other words it heavily capitalizes on the knowledge of human expertise in this area, it does not impose unnecessary constraints, it considers all the different factors that affect the routing quality, and most importantly it allows constant user interaction throughout the routing process. To achieve the above, this thesis presents background about some representative techniques for routing and summarizes their characteristics. It then studies in detail the different factors (such as minimum area, number of vias, wire length, etc.) that affect the routing quality, and the different criteria (such as vertical/horizontal constraint graph, merging, minimal rectilinear Steiner tree, etc.) that can be used to optimize these factors.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is an edited selection of the papers presented at the International Workshop on VLSI for Artiflcial Intelligence which was held at the University of Oxford in July 1988. 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 Alvey Directorate, the lEE and the IEEE Computer Society for publicising the event and to Oxford University for their active support. We are particularly grateful to David Cawley and Paula Appleby for coping with the administrative problems. Jose Delgado-Frias Will Moore October 1988 Programme Committee Igor Aleksander, Imperial College (UK) Yves Bekkers, IRISA/INRIA (France) Michael Brady, University of Oxford (UK) Jose Delgado-Frias, University of Oxford (UK) Steven Krueger, Texas Instruments Inc. (USA) Simon Lavington, University of Essex (UK) Will Moore, University of Oxford (UK) Philip Treleaven, University College London (UK) Benjamin Wah, University of Illinois (USA) Prologue Research on architectures dedicated to artificial intelligence (AI) processing has been increasing in recent years, since conventional data- or numerically-oriented architec tures are not able to provide the computational power and/or functionality required. For the time being these architectures have to be implemented in VLSI technology with its inherent constraints on speed, connectivity, fabrication yield and power. This in turn impacts on the effectiveness of the computer architecture.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Routing of VLSI chips is an important, time consuming, and difficult problem. The difficulty of the problem is attributed to the large number of often conflicting factors that affect the routing quality. Traditional techniques have approached routing by ignoring some of these factors and imposing unnecessary constraints in order to make routing tractable. In addition to the imposition of these restrictions, which simplify the problems to a degree but at the same time reduce the routing quality, traditional approaches use brute force. They often transform the problem into mathematical or graph problems and completely ignore the specific knowledge about the routing task that can greatly help the solution. This thesis overcomes some of the above problems and presents a system that performs routing close to what human designers do. In other words it heavily capitalizes on the knowledge of human expertise in this area, it does not impose unnecessary constraints, it considers all the different factors that affect the routing quality, and most importantly it allows constant user interaction throughout the routing process. To achieve the above, this thesis presents background about some representative techniques for routing and summarizes their characteristics. It then studies in detail the different factors (such as minimum area, number of vias, wire length, etc.) that affect the routing quality, and the different criteria (such as vertical/horizontal constraint graph, merging, minimal rectilinear Steiner tree, etc.) that can be used to optimize these factors.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is an edited selection of the papers presented at the International Workshop on VLSI for Artiflcial Intelligence which was held at the University of Oxford in July 1988. 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 Alvey Directorate, the lEE and the IEEE Computer Society for publicising the event and to Oxford University for their active support. We are particularly grateful to David Cawley and Paula Appleby for coping with the administrative problems. Jose Delgado-Frias Will Moore October 1988 Programme Committee Igor Aleksander, Imperial College (UK) Yves Bekkers, IRISA/INRIA (France) Michael Brady, University of Oxford (UK) Jose Delgado-Frias, University of Oxford (UK) Steven Krueger, Texas Instruments Inc. (USA) Simon Lavington, University of Essex (UK) Will Moore, University of Oxford (UK) Philip Treleaven, University College London (UK) Benjamin Wah, University of Illinois (USA) Prologue Research on architectures dedicated to artificial intelligence (AI) processing has been increasing in recent years, since conventional data- or numerically-oriented architec tures are not able to provide the computational power and/or functionality required. For the time being these architectures have to be implemented in VLSI technology with its inherent constraints on speed, connectivity, fabrication yield and power. This in turn impacts on the effectiveness of the computer architecture.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. VLSI for Neural Networks and Artificial Intelligence | Jose G. Delgado-Frias (u. a.) | Taschenbuch | x | Englisch | 2013 | Humana | EAN 9781489913333 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch.

Buch. Zustand: Neu. Neuware -Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. This in turn has posed a tremendous need for a larger computational power that conventional scalar processors may not be able to deliver efficiently. These processors are oriented towards numeric and data manipulations. Due to the neurocomputing requirements (such as non-programming and learning) and the artificial intelligence requirements (such as symbolic manipulation and knowledge representation) a different set of constraints and demands are imposed on the computer architectures/organizations for these applications. Research and development of new computer architectures and VLSI circuits for neural networks and artificial intelligence have been increased in order to meet the new performance requirements. This book presents novel approaches and trends on VLSI implementations of machines for these applications. Papers have been drawn from a number of research communities; the subjects span analog and digital VLSI design, computer design, computer architectures, neurocomputing and artificial intelligence techniques. This book has been organized into four subject areas that cover the two major categories of this book; the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence. The topics that are covered in each area are briefly introduced below.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. This in turn has posed a tremendous need for a larger computational power that conventional scalar processors may not be able to deliver efficiently. These processors are oriented towards numeric and data manipulations. Due to the neurocomputing requirements (such as non-programming and learning) and the artificial intelligence requirements (such as symbolic manipulation and knowledge representation) a different set of constraints and demands are imposed on the computer architectures/organizations for these applications. Research and development of new computer architectures and VLSI circuits for neural networks and artificial intelligence have been increased in order to meet the new performance requirements. This book presents novel approaches and trends on VLSI implementations of machines for these applications. Papers have been drawn from a number of research communities; the subjects span analog and digital VLSI design, computer design, computer architectures, neurocomputing and artificial intelligence techniques. This book has been organized into four subject areas that cover the two major categories of this book; the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence. The topics that are covered in each area are briefly introduced below.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. This in turn has posed a tremendous need for a larger computational power that conventional scalar processors may not be able to deliver efficiently. These processors are oriented towards numeric and data manipulations. Due to the neurocomputing requirements (such as non-programming and learning) and the artificial intelligence requirements (such as symbolic manipulation and knowledge representation) a different set of constraints and demands are imposed on the computer architectures/organizations for these applications. Research and development of new computer architectures and VLSI circuits for neural networks and artificial intelligence have been increased in order to meet the new performance requirements. This book presents novel approaches and trends on VLSI implementations of machines for these applications. Papers have been drawn from a number of research communities; the subjects span analog and digital VLSI design, computer design, computer architectures, neurocomputing and artificial intelligence techniques. This book has been organized into four subject areas that cover the two major categories of this book; the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence. The topics that are covered in each area are briefly introduced below.