With contributions from leading experts in these fields and a new generation of young researchers, this book covers a broad spectrum of topics, from computational methods in science and engineering to the transformative role of AI in problem-solving and automation. The collection highlights how interdisciplinary approaches are shaping the future of technology, exploring themes such as machine learning, data analytics, high-performance computing, and their real-world applications in diverse fields like healthcare, environment, and robotics.

Designed for researchers, academics, and professionals, this volume offers a comprehensive perspective on the evolving landscape of computing in solving complex scientific and engineering challenges. It serves as an essential resource for anyone seeking to understand the dynamic relationship between computing, science, and artificial intelligence in the modern worl d.