Textbook in PDF format

The book offers cutting-edge insights and practical applications for Edge AI, making it essential for anyone looking to stay ahead in the rapidly evolving landscape of Artificial Intelligence (AI) and Edge computing. Edge of Intelligence: Exploring the Frontiers of AI at the Edge examines the transformative potential of edge AI, showcasing how Artificial Intelligence is being seamlessly integrated with Edge computing to revolutionize various industries. This book offers a comprehensive overview of the latest research, trends, and practical applications of Edge AI, providing readers with valuable insights into how this cutting-edge technology is enhancing efficiency, reducing latency, and enabling real-time decision-making. From optimizing vehicular networks in the era of 6G to the innovative use of AI in crop monitoring and educational technology, this book covers a broad spectrum of topics, making it an essential read for anyone interested in the future of AI and Edge computing. Featuring contributions from leading experts and researchers, Edge of Intelligence highlights real-world examples and case studies that demonstrate the practical implementation of edge AI in diverse sectors such as smart cities, recruitment, and nano-process optimization. The book also addresses critical issues related to privacy, security, and the fusion of blockchain with edge computing, providing a holistic view of the challenges and opportunities in this rapidly evolving field. Preface A Review on Computational Optimization Strategies and Collaborative Techniques of Vehicular Task Offloading in the Era of Internet of Vehicles and 6G A Study on EDGE AI Application in Crop Monitoring A Survey on Reconfigurable Co-Processors Computing Linear Transformations Conversational AI Model for Effective Responses with Augmented Retrieval (CAMERA) Based Chatbot on NVIDIA Jetson Nano Edge Computing in Educational Technology: The Power of Edge AI for Dynamic and Personalized Learning Edge Computing Revolution: Unleashing Artificial Intelligence Potential in the World of Edge Intelligence Ensuring Privacy and Security in Machine Learning: A Novel Approach to Efficient Data Removal Federated Learning in Secure Smart City Sensing: Challenges and Opportunities Fusion of Blockchain and Edge Computing for Seamless Convergence Industry Adapting the Machine Learning Scenario in Recruitment and Selection of Employees Machine Learning for Nano Process Optimization Quantum Computing for Cryptography: An Extensive Survey Role of Blockchain Technology in e-HRM in the Era of Artificial Intelligence: Focus on the Indian Market Smart City Innovations and IoT as a Frontier of AI at the Edge of Intelligence Synergies Unleashed: The Convergence of AI and Edge Computing in Transformative Technologies