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Könyv Embedded Artificial Intelligence Bin Li

Embedded Artificial Intelligence

Principles, Platforms and Practices

Szerző: Bin Li
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer, Berlin
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
22 706 Ft
This book focuses on the emerging topic of embedded artificial intelligence and provides a systemati...

Információk a könyvről

Szerző
Bin Li
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2024
oldal
262
EAN
9789819750375
Enbook ID
46150347
Kiadó
Springer, Berlin
Súly
440
Méretek
155 x 235

Teljes leírás

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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