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Can I read Embedded Artificial Intelligence : Principles, Platforms and Practices on EtoBox?
Embedded Artificial Intelligence : Principles, Platforms and Practices by Bin Li is a nonfiction available to read on EtoBox.
What is Embedded Artificial Intelligence : Principles, Platforms and Practices about?
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
Who reads Embedded Artificial Intelligence : Principles, Platforms and Practices?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Bin Li
- Publisher
- Springer Nature Singapore Springer
- Published
- 2024
- Language
- EN
- ISBN
- 9789819750382
- Category
- nonfiction
- Subjects
- Science, Computer Science, Stem
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