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Embedded Artificial Intelligence Principles (18 results)
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Essential Principles of Hardware Implementation in Artificial Intelligence: AI-based Multi-Input Multi-Output Embedded Architecture for High Throughpu (Paperback or Softback)
Language: English
Published by Eliva Press 7/14/2024, 2024
ISBN 10: 9999321720 ISBN 13: 9789999321723
Paperback or Softback. Condition: New. Essential Principles of Hardware Implementation in Artificial Intelligence: AI-based Multi-Input Multi-Output Embedded Architecture for High Throughpu. Book.
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Paperback. Condition: Brand New. 111 pages. 6.00x0.25x9.00 inches. In Stock.
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Embedded Artificial Intelligence: Principles, Platforms and Practices
Language: English
Published by Springer-Nature New York Inc, 2024
ISBN 10: 9819750377 ISBN 13: 9789819750375
Paperback. Condition: Brand New. 230 pages. 9.25x6.10x9.25 inches. In Stock.
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Condition: As New. Unread book in perfect condition.
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Embedded Artificial Intelligence: Principles, Platforms and Practices
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 55.51
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Embedded Artificial Intelligence : Principles, Platforms and Practices
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Embedded Artificial Intelligence : Principles, Platforms and Practices
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Embedded Artificial Intelligence: Principles, Platforms and Practices
Language: English
Published by Springer-Nature New York Inc, 2024
ISBN 10: 9819750377 ISBN 13: 9789819750375
Paperback. Condition: Brand New. 230 pages. 9.25x6.10x9.25 inches. In Stock.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the emerging topic of embedded artificial intelligence and provides a systematic summary of its principles, platforms, and practices. In the section on principles, it analyzes three main approaches for implementing embedded artificial intelligence: cloud computing mode, local mode, and local-cloud collaborative mode. The book identifies five essential components for implementing embedded artificial intelligence: embedded AI accelerator chips, lightweight neural network algorithms, model compression techniques, compiler optimization techniques, and multi-level cascaded application frameworks. The platform section introduces mainstream embedded AI accelerator chips and software frameworks currently used in the industry. The practical part outlines the development process of embedded artificial intelligence and showcases real-world application examples with accompanying code.As a comprehensive guide to the emerging field of embedded artificial intelligence, the book offers rich and in-depth content, a clear and logical structure, and a balanced approach to both theoretical analysis and practical applications. It provides significant reference value and can serve as an introductory and reference guide for researchers, scholars, students, engineers, and professionals interested in studying and implementing embedded artificial intelligence.
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Taschenbuch. Condition: Neu. Embedded Artificial Intelligence | Principles, Platforms and Practices | Bin Li | Taschenbuch | xi | Englisch | 2024 | Springer | EAN 9789819750375 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book addresses and illustrates the effectiveness of the essential principles of a hardware implementation of an artificial intelligence real-time system for making changes in the production of large-scale products available through multi-input and multi-output platforms. The objective is not only to know about the predictable product but also to provide the right solutions to the expert experience industry. These solutions are supported by advanced technology applications with high ratings, instilling confidence in their quality and effectiveness. On the other hand, artificial intelligence techniques have calculated the overall process and predicted higher approximation rates before production.
