Cover -- Series Page -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Preface -- Acknowledgement -- Part 1: Artificial Intelligence and Blockchain in Hyper Intelligent Network -- Chapter 1 Introduction to Hyper-Intelligent Networks -- 1.1 A Comprehensive Overview -- 1.2 Definition of Hyper-Intelligent Networks -- 1.3 Key Components of Hyper-Intelligent Networks -- 1.3.1 Artificial Intelligence (AI) -- 1.3.2 Machine Learning (ML) -- 1.3.3 Internet of Things (IoT) -- 1.3.4 Big Data Analytics (BDA) -- 1.3.5 Edge Computing -- 1.4 Literature Review

1.5 Applications of Hyper-Intelligent Networks -- 1.5.1 Smart Cities -- 1.5.2 Healthcare -- 1.5.3 Industrial Automation -- 1.5.4 Autonomous Vehicles -- 1.5.5 Financial Services -- 1.6 Challenges of Hyper-Intelligent Networks -- 1.6.1 Data Security and Privacy -- 1.6.2 Interoperability -- 1.6.3 Ethical Considerations -- 1.6.4 Reliability and Resilience -- 1.6.5 Scalability -- 1.7 Future Trends in Hyper-Intelligent Networks -- 1.7.1 Quantum Computing -- 1.7.2 5G Technology -- 1.7.3 Augmented Reality (AR) and Virtual Reality (VR) -- 1.7.4 Blockchain -- 1.8 Conclusions -- References

Chapter 2 Hyper-Intelligence in Machine Learning: Unleashing the Next Evolution of AI -- 2.1 Introduction to Hyper-Intelligence -- 2.1.1 Defining Hyper-Intelligence -- 2.1.2 Historical Context -- 2.2 Theoretical Foundations -- 2.2.1 Autonomous Learning -- 2.2.2 Complex Problem Solving -- 2.2.3 Contextual Understanding -- 2.3 Core Technologies -- 2.3.1 Advanced Neural Networks -- 2.3.2 Reinforcement Learning (RL) -- 2.3.3 Meta-Learning -- 2.3.4 Quantum Computing -- 2.4 Practical Applications -- 2.4.1 Healthcare -- 2.4.2 Autonomous Systems -- 2.4.3 Financial Services

2.4.4 Natural Language Processing (NLP) -- 2.5 Ethical and Societal Implications -- 2.5.1 Bias and Fairness -- 2.5.2 Transparency -- 2.5.3 Accountability -- 2.5.4 Privacy Concerns -- 2.6 Future Prospects -- 2.6.1 Human-AI Collaboration -- 2.6.2 Continuous Learning -- 2.6.3 Societal Transformation -- 2.7 Case Studies -- 2.8 Prospective Research Avenues -- 2.9 Core Technologies -- 2.9.1 Advanced Neural Networks -- 2.9.2 Reinforcement Learning -- 2.9.3 Pioneering Efforts -- 2.9.4 Neuroscience-Inspired AI -- 2.10 Collaborative AI -- 2.10.1 Breakthrough Innovations -- 2.10.2 Self-Supervised Learning

2.11 Challenges and Future Directions -- 2.11.1 Future Directions of Artificial Intelligence -- 2.12 Future Directions -- References -- Chapter 3 Edge Computing and Its Role in Hyper-Intelligent Networks -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Proposed Study -- 3.3.1 Critical Analysis of Wireless Communication Protocols -- 3.3.2 Choosing the Right Protocol for Your Smart Home Needs -- 3.3.3 Smart Home Communication Requirements -- 3.3.4 Procedure for Connection of Wireless Communication Protocol -- 3.4 Future Trends -- 3.5 Conclusion -- References