Multidisciplinary Research In Artificial Intelligence

Artificial Intelligence (AI) has rapidly evolved from a specialized area of computer science into a powerful multidisciplinary field influencing nearly every sector of society. Today, AI integrates concepts from mathematics, data science, engineering, cognitive science, healthcare, agriculture, cybersecurity, education, and social sciences to address complex real-world challenges. Machine learning and deep learning techniques enable intelligent systems to analyze vast amounts of data, recognize patterns, and support accurate decision-making. When combined with emerging technologies such as IoT, blockchain, and cloud computing, AI creates smart, secure, and adaptive systems that transform industries and improve human life. Multidisciplinary Research in Artificial Intelligence highlights the importance of collaborative innovation across domains. It explores theoretical advancements, practical applications, and ethical considerations while emphasizing sustainability, transparency, and responsible AI development. This book aims to provide researchers, academicians, and professionals with insights into how AI-driven interdisciplinary approaches can shape the future of technology and society.