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Embedded Artificial Intelligence: Principles, Platforms and Practices
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Embedded Artificial Intelligence: Principles, Platforms and Practices Paperback - 2024

by Bin Li

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Details

  • Title Embedded Artificial Intelligence: Principles, Platforms and Practices
  • Author Bin Li
  • Binding Paperback
  • Pages 260
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2024-09-07
  • Illustrated Yes
  • Features Illustrated
  • ISBN 9789819750375 / 9819750377
  • Weight 0.85 lbs (0.39 kg)
  • Dimensions 9.21 x 6.14 x 0.58 in (23.39 x 15.60 x 1.47 cm)
  • Category Computers - General Information

About the author

Bin Li held chief technical positions in several Fortune 500 companies, and he earned a Master's degree in pattern recognition and artificial intelligence from Beijing Institute of Technology. His research areas include artificial intelligence, distributed computing, and data communication. He is the first inventor of over 20 Chinese and international invention patents.

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Embedded Artificial Intelligence: Principles, Platforms and Practices

Embedded Artificial Intelligence: Principles, Platforms and Practices

by Bin Li

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9789819750375 / 9819750377
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Embedded Artificial Intelligence : Principles, Platforms and Practices

Embedded Artificial Intelligence : Principles, Platforms and Practices

by Bin Li

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9789819750375 / 9819750377
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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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
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Embedded Artificial Intelligence: Principles, Platforms and Practices
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Embedded Artificial Intelligence: Principles, Platforms and Practices

by Bin Li

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  • Paperback
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Paperback
ISBN 10 / ISBN 13
9789819750375 / 9819750377
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Paperback / softback. New. 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… Read more
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Embedded Artificial Intelligence: Principles, Platforms and Practices

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Embedded Artificial Intelligence: Principles, Platforms and Practices
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Embedded Artificial Intelligence: Principles, Platforms and Practices
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Embedded Artificial Intelligence: Principles, Platforms and Practices

by Li, Bin

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Embedded Artificial Intelligence: Principles, Platforms and Practices
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Embedded Artificial Intelligence: Principles, Platforms and Practices

by Li, Bin

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EMBEDDED ARTIFICIAL INTELLIGENCE
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EMBEDDED ARTIFICIAL INTELLIGENCE

by BIN LI

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SPRINGER, 2024. Paperback. New.
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EMBEDDED ARTIFICIAL INTELLIGENCE
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EMBEDDED ARTIFICIAL INTELLIGENCE

by BIN LI

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  • Paperback
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Paperback
ISBN 10 / ISBN 13
9789819750375 / 9819750377
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SPRINGER, 2024. Paperback. New.
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