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Part of the book series: Studies in Computational Intelligence (SCI, volume 1147)
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About this book
This open access book provides an overview about results of the InSecTT project. Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTT—Intelligent Secure Trustable Things, a pan-European effort with over 50 key partners from 12 countries (EU and Turkey), provides intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT creates trust in AI-based intelligent systems and solutions as a major part of the AIoT. InSecTT fosters cooperation between big industrial players from various domains, a number of highly innovative SMEs distributed all over Europe and cutting-edge research organizations and universities. The project features a big variety of industry-driven use cases embedded into various application domains where Europe is in a leading position, i.e., smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health. The demonstration of InSecTT solutions in well-known real-world environments like airports, trains, ports and the health sector shows their applicability on both high and broad level, going from citizens to European stakeholders.
The first part of the book provides an introduction into the main topics of the InSecTT project: How to bring Internet of Things and Artificial Intelligence together to form the Artificial Intelligence of Things, a reference architecture for such kind of systems and how to develop trustworthy, ethical AI systems. In the second part, we show the development of essential technologies for creating trustworthy AIoT systems. The third part of the book is composed of a broad variety of examples on how to design, develop and validate trustworthy AIoT systems for industrial applications (including automotive, avionics, smart infrastructure, health care, manufacturing and railway).
Keywords
Table of contents (21 chapters)
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Front Matter
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Introduction
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Front Matter
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Technology Development
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Front Matter
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Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Intelligent Secure Trustable Things
Editors: Michael Karner, Johannes Peltola, Michael Jerne, Lukas Kulas, Peter Priller
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-031-54049-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2024
Hardcover ISBN: 978-3-031-54048-6Published: 20 June 2024
Softcover ISBN: 978-3-031-54051-6Due: 27 July 2024
eBook ISBN: 978-3-031-54049-3Published: 19 June 2024
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIX, 441
Number of Illustrations: 20 b/w illustrations, 192 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Cyber-physical systems, IoT