Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 195,46
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 143,31
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and related topics) as well as reporting on their application to diverse fields. This is achieved by chapters covering the entire spectrum of research activities to include design and applications, with a focus on high performance and dependable operation. The entire hardware stack (from circuit, to architecture, up to the system level) is discussed in detail. The book will cover innovative material as well as tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and applications over a wide spectrum of scope for an enlarged readership, so to include engineers as well as scientists.Discusses a wide range of topics for Machine Learning-based computer systems;Covers design and application for the entire hardware stack, with a focus on high performance and dependability;Includes innovative material, as well as tutorials, reviews and surveys of current theoretical/experimental results.
Idioma: Inglés
Publicado por Springer, Berlin, Springer Jun 2026, 2026
ISBN 10: 3032179475 ISBN 13: 9783032179470
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 139,09
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and related topics) as well as reporting on their application to diverse fields. This is achieved by chapters covering the entire spectrum of research activities to include design and applications, with a focus on high performance and dependable operation. The entire hardware stack (from circuit, to architecture, up to the system level) is discussed in detail. The book will cover innovative material as well as tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and applications over a wide spectrum of scope for an enlarged readership, so to include engineers as well as scientists.Discusses a wide range of topics for Machine Learning-based computer systems;Covers design and application for the entire hardware stack, with a focus on high performance and dependability;Includes innovative material, as well as tutorials, reviews and surveys of current theoretical/experimental results. 413 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 115,65
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Librería: preigu, Osnabrück, Alemania
EUR 119,95
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Añadir al carritoBuch. Condición: Neu. Machine Learning Systems | The Role of Hardware Design for Dependable Computing | Shanshan Liu (u. a.) | Buch | xxvii | Englisch | 2026 | Springer | EAN 9783032179470 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 139,09
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and related topics) as well as reporting on their application to diverse fields. This is achieved by chapters covering the entire spectrum of research activities to include design and applications, with a focus on high performance and dependable operation. The entire hardware stack (from circuit, to architecture, up to the system level) is discussed in detail. The book will cover innovative material as well as tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and applications over a wide spectrum of scope for an enlarged readership, so to include engineers as well as scientists. Discusses a wide range of topics for Machine Learningbased computer systems; Covers design and application for the entire hardware stack, with a focus on high performance and dependability; Includes innovative material, as well as tutorials, reviews and surveys of current theoretical/experimental results.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 444 pp. Englisch.