About This Book

The rapid advancement of digital technologies has transformed the way information is processed, stored, shared, and utilized. Artificial Intelligence (AI), Blockchain, and Deep Learning have emerged as three powerful technologies that are shaping the next generation of intelligent and trustworthy computing systems. While AI provides machines with the ability to learn, reason, and make decisions, Deep Learning enables intelligent systems to process complex data and discover meaningful patterns. Blockchain, on the other hand, provides decentralization, transparency, security, and trust in digital environments. The integration of these technologies creates new possibilities for developing secure, intelligent, and autonomous computing systems.

The book Intelligent Computing with Blockchain, AI and Deep Learning presents a systematic introduction to the concepts, technologies, methodologies, and applications associated with these emerging fields. It begins with the foundations of intelligent computing and Artificial Intelligence before progressing toward Machine Learning and Deep Learning techniques. The book then introduces Blockchain technology, including its architecture, cryptographic foundations, consensus mechanisms, smart contracts, and decentralized applications.

A major focus of this book is the integration of AI and Blockchain. The combination of intelligent algorithms with decentralized and tamper-resistant infrastructures can address several challenges related to data security, privacy, trust, and distributed decision-making. The book also explores Blockchain-enabled Deep Learning, Federated Learning, privacy-preserving model training, secure data management, and intelligent model sharing. These concepts are particularly important for modern applications in which data is distributed across multiple organizations and devices.

The book further examines the role of intelligent computing in Internet of Things (IoT) and Edge Computing environments. AI-enabled IoT, Blockchain-based IoT security, and Edge AI demonstrate how intelligence can be brought closer to data sources and connected devices. Real-world applications in healthcare, finance, manufacturing, cybersecurity, smart systems, and other domains are discussed to demonstrate the practical significance of these technologies.
In addition to technical concepts, this book highlights the importance of responsible and ethical intelligent computing. Issues such as privacy, transparency, explainability, security, data protection, and responsible AI are considered essential for building reliable intelligent systems. The final discussions focus on emerging technologies, decentralized AI, autonomous systems, and the future convergence of AI, Blockchain, and Deep Learning.

This book is intended for undergraduate and postgraduate students, researchers, educators, technology professionals, and readers who wish to understand the fundamentals and applications of intelligent computing technologies. The content is organized progressively so that readers can develop a strong conceptual foundation before exploring advanced integrations and applications.
It is hoped that this book will serve as a useful academic and reference resource for understanding the rapidly evolving landscape of Intelligent Computing with Blockchain, AI, and Deep Learning, while encouraging further research, innovation, and practical implementation in these interdisciplinary fields.


AUTHOR :
Mrs.G. Abarna
Dr. S. Thilagavathi