ARTIFICIAL INTELLIGENCE IN THE MODERN WORLD Emerging Applications, Transformative Innovations and Future Challenges

Artificial Intelligence in the Modern World brings together fifteen contributions exploring emerging AI applications across engineering, education, research, healthcare, business and sustainability. The volume connects technical developments with the practical challenges faced by the disciplines adopting them. Topics include machine learning and data science, generative AI, integrated engineering systems, neural approaches to fractals, AI-supported teaching and research, and ethical governance. Applied chapters examine nursing and life sciences, wearable neurotechnology, entrepreneurship, food quality and shelf-life prediction, and electric-vehicle battery life cycles. Written for research scholars, postgraduate students, teachers, engineers, clinicians and practitioners, this edited collection combines disciplinary perspectives, methods and professional judgement. It encourages readers to evaluate AI’s capabilities, limitations and responsibilities within practical settings, supporting informed research and responsible practice.