Artificial intelligence is transforming the way complex challenges are addressed across science, engineering, healthcare, and industry. In this comprehensive volume, Nenad Filipovic explores the theoretical foundations and practical applications of AI, demonstrating how intelligent systems are driving innovation in medicine, biology, chemistry, finance, manufacturing, and advanced engineering.
The book combines advanced mathematical concepts with real-world AI implementation, covering topics such as deep learning, reinforcement learning, predictive analytics, digital twins, intelligent optimization, molecular modeling, computational physiology, AI-assisted diagnostics, algorithmic trading, multi-agent systems, and smart industrial processes. Through practical examples and interdisciplinary case studies, readers gain valuable insight into how modern AI techniques convert large-scale data into reliable, actionable solutions.
With a strong emphasis on explainable, robust, and trustworthy AI, the book presents statistical validation methods, computational frameworks, and proven implementation strategies suitable for diverse application domains. Intended for researchers, engineers, healthcare professionals, financial specialists, and graduate students, it serves as a practical guide and authoritative reference for applying artificial intelligence to solve today’s most demanding scientific and technological problems.