This edited volume presents a collection of peer-reviewed book chapters contributed by academicians, researchers, and industry professionals, exploring the convergence of computational intelligence with commerce, mathematics, and the physical sciences. The book addresses both theoretical foundations and applied innovations that are shaping contemporary research and practice across these disciplines. The chapters cover a broad spectrum of topics, including machine learning, deep learning, natural language processing, generative artificial intelligence, edge computing, blockchain technology, cloud computing, cybersecurity, and big data analytics. Commerce-focused contributions examine AIpowered auditing, digital transformation, supply chain intelligence, and cryptocurrency. Mathematical contributions explore computational algebra, cryptography, optimization techniques, fuzzy logic, stochastic modelling, and tensor algebra. Chapters related to the physical sciences discuss quantum computing, artificial intelligence in electronics, climate modelling, and highenergy physics. The volume also highlights interdisciplinary domains such as ethical AI, smart computing for sustainable development, human–computer interaction, and high-performance computing, reflecting the growing need for knowledge that transcends traditional disciplinary boundaries. These contributions demonstrate how computational intelligence is driving innovation and creating new opportunities for research and development across diverse fields. This book is intended for academicians, researchers, postgraduate students, and industry professionals seeking insights into emerging technologies and their applications. It is hoped that the ideas and findings presented in this volume will encourage further research, foster interdisciplinary collaboration, and promote responsible innovation in the rapidly evolving landscape of computational intelligence.
Publication Date: 2026-06-14