Artificial Intelligence and Machine Learning are redefining the technological landscape of the 21st century, influencing every major sector—from healthcare and finance to autonomous systems and smart cities. Recognizing the growing need for a structured, comprehensive, and research-driven understanding of these domains, the authors present Next-Generation AI and ML: Trends, Challenges, and Opportunities, a remarkable academic contribution aimed at students, researchers, educators, and professionals.
This newly released book offers a deep dive into the foundations and futuristic dimensions of AI and ML. It thoughtfully traces the historical evolution of intelligent systems, unpacks modern advancements such as deep learning, transformers, edge-fog-cloud computing, quantum paradigms, computer vision, and reinforcement learning, and explores their real-world applications across multiple industries. The book addresses ongoing global concerns related to ethical AI—algorithmic bias, transparency, fairness, accountability, and the emerging socio-economic impacts of automation.
With ten meticulously curated chapters, the authors combine academic depth with real-world relevance. Case studies, visualizations, practical insights, and future research directions allow readers to understand both the current AI landscape and what lies ahead. Whether it is medical diagnostics, cybersecurity, autonomous vehicles, predictive analytics, sustainable AI systems, or human-AI collaboration, the book offers a holistic perspective on how intelligent technologies are shaping society.
Next-Generation AI and ML: Trends, Challenges, and Opportunities stands as an essential resource for B.Tech, M.Tech, MCA, B.Sc./M.Sc., and PhD learners, as well as for industry professionals looking to align with future-ready technologies. As AI becomes increasingly influential in global growth and innovation, this book equips readers with the clarity, knowledge, and critical thinking needed to navigate this transformative era.