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This book presents the latest research on Ambient Intelligence including software and applications. Ambient Intelligence (AmI) is a paradigm emerging from Artificial Intelligence, where computers are used as proactive tools assisting people with their day-to-day activities, making everyone's life more comfortable. The inclusion of computational power and communication technologies in everyday objects is growing, and their embedding into our environments should be as invisible as possible. In order for AmI to be successful, human interaction with computing power and embedded systems in the surroundings should be smooth and happen without people actually noticing it. The only awareness people should have arises from AmI: more safety, comfort and wellbeing, emerging in a natural and inherent way. ISAmI is the International Symposium on Ambient Intelligence, aiming to bring together researchers from various disciplines that constitute the scientific field of AmI to present and discuss the latest results, new ideas, projects and lessons learned.
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This book presents the latest research on Ambient Intelligence presented in the 15th International Symposium on Ambient Intelligence (ISAmI 2024). Interested researchers can find works on intelligent systems on healthcare and security scenarios; smart cities and urban environments; active intelligent mobility; Internet of Things in Industry 4.0; Ambient-Assisted Living; as well as quantum computing in economics, industrial and social applications; among others. The symposium was organized by the Universidade do Minho (Portugal), the Nitte Meenakshi Institute of Technology (India), the National Institute of Informatics (Japan), the Università degli Studi di Genova (Italy), the Universitat Politècnica de València, the University of Salamanca, the University of Granada, and the AIR Institute (Spain). The present edition was hosted within the Salamanca Tech Summit by the BISITE Research Group, the AIR Institute and the City Council in Salamanca, Spain, from June 26th to 28th, 2024.
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