Elsevier Edge Artificial Intelligence: Algorithms, Applications, Challenges & Ethics

Edge Artificial Intelligence: Algorithms, Applications, Challenges and Ethical Issues is a comprehensive guide to deploying machine learning at the edge. This Elsevier book covers the architecture and algorithms essential for edge AI systems, alongside real-world case studies demonstrating practical applications across industries. The text examines the regulatory landscape and governance frameworks shaping edge AI deployment, whilst addressing the ethical considerations that arise when processing data locally rather than in centralised cloud environments. Readers gain practical knowledge for implementing real-time decision-making systems and understanding the trade-offs between performance, privacy and computational constraints. Whether you're an engineer building edge systems, a data scientist exploring distributed machine learning, or a technology professional navigating compliance requirements, this book provides the foundational concepts and applied examples needed to harness edge AI's transformative potential.