This book explores the role of embedded AI in revolutionizing industries such as healthcare, transportation, manufacturing, and retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of this book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage. It discusses a variety of techniques for optimizing algorithms and models for embedded systems, including hardware acceleration, model compression, and quantization.

Key features:

Explores security experiments in emerging post?CMOS technologies using AI, including side channel attack?resistant embedded systems
Discusses different hardware and software platforms available for developing embedded AI applications, as well as the various techniques used to design and implement these systems
Considers ethical and societal implications of embedded AI vis?a?vis the need for responsible development and deployment of embedded AI systems
Focuses on application?based research and case studies to develop embedded AI systems for real?life applications
Examines high?end parallel systems to run complex AI algorithms and comprehensive functionality while maintaining portability and power efficiency

This reference book is for students, researchers, and professionals interested in embedded AI and relevant branches of computer science, electrical engineering, or artificial intelligence.

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Yes, you can access Embedded Artificial Intelligence by Arpita Nath Boruah,Mrinal Goswami,Manoj Kumar,Octavio Loyola-Gonzalez,Octavio Loyola-González in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

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Index

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Preface
Editors
List of Contributors
Section A Overview of Embedded Systems and Artificial Intelligence
Section B Case Studies and Practical Applications of AI-Enabled Embedded Systems
Section C Ethical Considerations in Embedded AI
Index

About this book

Frequently asked questions

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Table of contents