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Embedded Artificial Intelligence

- Principles, Platforms and Practices
Af: Bin Li Engelsk Paperback

Embedded Artificial Intelligence

- Principles, Platforms and Practices
Af: Bin Li Engelsk Paperback
Tjek vores konkurrenters priser
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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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.
Produktdetaljer
Sprog: Engelsk
Sider: 260
ISBN-13: 9789819750375
Indbinding: Paperback
Udgave:
ISBN-10: 9819750377
Kategori: Robotteknik
Udg. Dato: 7 sep 2024
Længde: 18mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 7 sep 2024
Forfatter(e): Bin Li
Forfatter(e) Bin Li


Kategori Robotteknik


ISBN-13 9789819750375


Sprog Engelsk


Indbinding Paperback


Sider 260


Udgave


Længde 18mm


Bredde 155mm


Højde 235mm


Udg. Dato 7 sep 2024


Oplagsdato 7 sep 2024


Forlag Springer Verlag, Singapore

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