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AIoT
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AIoT : Artificial Intelligence of Things

Book Details

Format Paperback / Softback
ISBN-10 1032773014
ISBN-13 9781032773018
Publisher Taylor & Francis Ltd
Imprint Auerbach
Country of Manufacture GB
Country of Publication GB
Publication Date May 25th, 2025
Print length 408 Pages
Weight 656 grams
Dimensions 15.50 x 23.50 x 2.70 cms
Ksh 14,600.00
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The book provides a comprehensive exploration of the intersection between AI and the Internet of Things (IoT). It begins with an introduction to AI, IoT, and their synergistic relationship, and explains how AI technologies enhance IoT devices. The book explores such key components as sensors, connectivity, and machine learning algorithms.

AIoT: Artificial Intelligence of Things explores the integration of Artificial Intelligence (AI) into everyday objects and devices to allow them to analyze data, make decisions, and communicate with each other, which leads to improved efficiency, convenience, and new possibilities in various aspects of daily life.

With a wide-ranging scope, the book covers various aspects of AIoT from fundamental concepts to advanced applications. It begins with an introduction to AI, IoT, and their synergistic relationship and explains how AI technologies enhance the capabilities of IoT devices. The book then explores the key components of AIoT, including sensors, connectivity, data processing, and machine learning algorithms. Highlights include:

  • Edge computing and AIoT
  • Privacy and security in AIoT
  • AIoT applications in such domains as healthcare, finance, and manufacturing.
  • Smart cities and AIoT
  • AIoT and wearables
  • Ethical considerations concerning AIoT
  • AIoT and augmented reality and virtual reality
  • AIoT and blockchain
  • AIoT and 5G technology.

The book presents such AIoT architectures as cloud-based, edge-based, and hybrid systems and discusses their advantages and challenges. Exploring the role of big data analytics in AIoT, it highlights how large-scale data collection and analysis can drive intelligent decision-making and predictive insights. It delves into such AI techniques employed in AIoT systems as natural language processing, computer vision, deep learning, and reinforcement learning.

The book concludes with a discussion of emerging trends and future directions in AIoT that includes the integration of blockchain technology, edge computing, and swarm intelligence. It also discusses the societal implications of AIoT and its effect on the job market, privacy, and ethics.


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