Although Artificial Intelligence (AI) is not a new phenomenon, recent advances and increased accessibility have propelled its adoption across virtually every scientific and professional domain. AI technologies are revolutionizing industries by driving innovation, enhancing productivity, and fundamentally transforming how organizations and societies operate. In scientific research, AI is accelerating discovery, enabling complex simulations and experiments, and augmenting human capabilities. Understanding the evolution of AI and its far-reaching implications is essential for effectively navigating the opportunities and challenges of an AI-driven world.
The Encyclopedia of Modern Artificial Intelligence is a comprehensive 10-volume reference work comprised of more than 200 wholly original peer-reviewed in-depth, long-form articles contributed by over 500 experts in the field. It examines the modern roles and advancements of AI, encompassing core concepts, methodologies, theories, system designs, technologies, ethical considerations, practical applications, challenges, innovations, opportunities, and key terms and definitions across a wide range of industries and disciplines. Enhanced by thousands of illustrations, charts, and figures, the encyclopedia clarifies complex ideas, visualizes data and processes, and supports a deeper understanding of advanced AI topics. It serves researchers, instructors, students, professionals, and anyone seeking to make informed decisions about technologies shaping the future.