A Practitioner's Approach for Problem-Solving using AI

This book demonstrates several use cases of how artificial intelligence (AI) and machine learning (ML) are revolutionizing problem-solving across various industries. The book presents 18 edited chapters beginning with the latest advancements in human-AI interactions and neuromorphic computing, setting the stage for practical applications. Chapters focus on AI and ML applications such as fingerprint recognition, glaucoma detection, and lung cancer identification using image processing. The book also explores the role of AI in professional operations such as UX design, event detection, and content analysis. Additionally, the book includes content that examines AI's impact on technical operations wireless communication, VLSI systems, and advanced manufacturing processes. Each chapter contains summaries and references for addressing the needs of beginner and advanced readers. This comprehensive guide is an essential resource for anyone seeking to understand AI's transformative role in modern problem-solving in professional industries. Readership Tech professionals, enthusiasts, computer science students, trainers, and instructors. Series Intro Emerging Trends in Computation Intelligence and Disruptive Technologies is a an informativce series of edited volumes that explores the latest advancements and innovations in the fields of computational intelligence and disruptive technologies. Each volume delves into cutting-edge research, applications, and theoretical developments across a broad range of topics, including artificial intelligence, machine learning, robotics, nanotechnology, and more. The series brings together contributions from leading experts, offering comprehensive insights into how these technologies are shaping industries, driving innovation, and addressing complex challenges. This series serves as an essential resource for researchers, professionals, and students looking to stay ahead in the rapidly evolving landscape of computation and technology.