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The convergence of AI and the Internet of Things (IoT) is rapidly transforming the landscape of intelligent devices. As AI algorithms become more sophisticated and embedded in everyday objects, devices are empowered to learn from data and operate with minimal human intervention. This integration not only enhances operational efficiency and user experience but also paves the way for innovative applications across all sectors. Exploring AI advancements in IoT reveals the transformative potential and emerging challenges of a future shaped by intelligent, interconnected systems. AI Advancements in Internet of Things, Smart Healthcare, and Intelligent Devices presents a comprehensive exploration of the powerful convergence between AI, machine learning, and IoT, with a strong emphasis on their integration into intelligent devices. It not only explores foundational concepts but also addresses the practical challenges and opportunities in deploying intelligent systems at scale. Covering topics such as cloud computing, predictive maintenance, and software testing, this book is an excellent resource for academicians, researchers, students, engineers, technologists, policymakers, and more.
