Blockchain and Machine Learning Innovations

Breaking Barriers with Distributed Intelligence
Erscheinungsjahr 2025
ISBN: 978-3-031-88094-0
Verlag: Springer Nature Switzerland

Buch, Englisch, 268 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 586 g

Reihe: Signals and Communication Technology

In a world driven by data and decentralization, blockchain and machine learning are transforming industries at an unprecedented pace. The book explores the powerful convergence of these groundbreaking technologies, offering an in-depth look at how they are reshaping the future in innovative and exciting ways. Packed with expert insights, real-world applications, and forward-thinking concepts, this book provides a comprehensive guide to the opportunities and challenges at this intersection. It uncovers solutions to critical issues, offering practical frameworks and ideas for professionals, researchers, and tech enthusiasts alike.

• Discover how blockchain and AI/ML combine to power next-generation solutions.
• Gain inspiration from real-world examples and transformative ideas driving innovation.
• Strike a balance between exploration and implementation, helping readers leverage blockchain and machine learning effectively.

Whether you’re a tech visionary, a researcher, or simply curious about the future, this book equips you with the knowledge to lead in the age of decentralized intelligence. Your journey into the next era of technology starts here. – a must-read for anyone ready to explore the possibilities and shape the future.

Zielgruppe

Research

Autoren/Hrsg.

Idrees, Sheikh Mohammad

Nowostawski, Mariusz

Jameel, Roshan

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Introduction.- Building Intelligent Systems - Blockchain and Machine Learning Integration.- AI Powered Predictive Analytics in Decision Making.- Smart contracts and Predictive analytics.- Blockchain, Machine Learning, and the Future of Digital Identity.- Blockchain transforming data security in the era of AI.- Educational Transformations: Smart Learning with AI and Blockchain.- Privacy and security aspects in this fusion era.- Addressing concerns and solutions regarding privacy and security implications.- Integration of Machine learning and Blockchain and Machine Learning in Finance.- Decentralized Finance (DeFi): The Blockchain Disruption.- Exploring Decentralized Autonomous Organizations (DAOs) with Machine Learning.- Integration of Blockchain and Machine Learning in Healthcare.- Health Tech: Enhancing Healthcare through Intelligent Systems.- Supply Chain Traceability with machine learning and Blockchain.- Reinventing Agriculture: AI and Blockchain in Farming Practices.- Gaming Revolution: Blockchain and ML in Entertainment.- Conclusion.

Über Autor(innen)

Sheikh Mohammad Idrees is a dedicated researcher, educator, and practitioner specializing in blockchain technologies, decentralized systems, ml and data science. With a Ph.D. in Computer Science and years of experience, Idrees has been at the forefront of exploring innovative solutions to complex technological challenges. His expertise spans blockchain interoperability, data integrity, and the integration of machine learning with decentralized technologies. As a Certified Enterprise Blockchain Architect, he bridges the gap between theory and practice, mentoring students and collaborating with global researchers to advance the frontiers of technology. Currently a Researcher and Lecturer at NTNU, Gjøvik, Norway, Idrees is committed to fostering interdisciplinary research and innovation in emerging technologies.

Roshan Jameel is a researcher with expertise in cutting-edge technologies such as blockchain, machine learning, and cloud computing. Her academic contributions include multiple publications that explore the integration of these technologies in sectors like healthcare, energy, and education. Dr. Jameel is passionate about advancing the frontiers of knowledge through interdisciplinary research and aims to bridge theoretical advancements with practical applications to address real-world challenges. 

Mariusz Nowostawski is a Professor at the Norwegian University of Science and Technology (NTNU), specializing in programming, decentralized technologies,  computer science, and education. He obtained his doctorate from the University of Otago, New Zealand, where he spent 15 years as a researcher and lecturer. His MSc research focused on AI and machine learning, while his PhD work explored autonomous systems and the computational modelling of biological processes. Passionate about self-organizing systems, adaptive computation, and autonomy, Mariusz has also worked on high-performance networking applications on GPUs and multicore systems with Sun Microsystems and Oracle. Currently, his research interests include cryptocurrency privacy and anonymity, as well as blockchain forensics, in collaboration with Europol. An active and influential researcher, Mariusz continues to make valuable contributions to his fields of expertise.