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The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence , edited by Zhihan Lv from Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation problem in AI systems. It explores the latest concepts, technologies, and applications of Adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, real-world case studies, and thorough analysis, the Handbook provides practitioners with practical ideas and solutions, while also serving as a valuable teaching material and reference guide for students and educators in AI-related disciplines. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems, making it an indispensable resource for researchers, professionals, and students seeking to revolutionize their research and applications in the field of Adaptive AI.
This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2021. Due to the COVID-19 global pandemic, the conference was held virtually. This year's conference put an emphasis on the future of technologies for interactive entertainment. The 25 full papers presented at the conference and thus included in this book were selected from 50 submissions, and present novel and innovative work in areas including art, science, design and engineering regarding computer-based systems or devices that provide intelligent human interaction, learning, or entertainment experiences. The papers are grouped in 2 sessions of thematic issues on emerging applications and augmented reality.
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