ERCIM News 122
July 2020
Special theme Solving Engineering Problems with Machine Learning
Guest editors Noémi Friedman (SZTAKI), and Abdel Labbi (IBM Research - Europe)
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by Nena Basina, Theodore Patkos, Dimitris Plexousakis (FORTH-ICS)
Reasoning about actions, change and causality constitutes an important field of research in artificial intelligence. A visual representation of the main concepts involved while encoding logic programs can help knowledge engineers better understand the semantics. The ECAVI modelling tool aims to acquaint inexperienced modellers with the main features of common sense reasoning, guiding them during the process, through a meta-modelling platform and with the help of a state-of-the-art reasoner.
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by Maarten Groen (Amsterdam University of Applied Sciences) and Nanda Piersma (Amsterdam University of Applied Sciences, CWI)
City authorities want to know how to match the charging infrastructures for electric vehicles with the demand. Using camera recognition algorithms from artificial intelligence we investigated the behavior of taxis at a charging stations and a taxi stand.
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by Albert Treytl, Edith Huber, Thilo Sauter (Danube University Krems) and Peter Kieseberg (St. Pölten University of Applied Sciences)
Home automation systems (HAS) can be important attack vectors, yet research on securing sensors is sparse, especially with respect to the analogous side of these components, i.e., detecting manipulations of the sensors themselves. Metadata together with the combination of several sensor nodes can be used to thwart such manipulation attacks.
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Call for Proposals
Schloss Dagstuhl – Leibniz-Zentrum für Informatik is accepting proposals for scientific seminars/workshops in all areas of computer science, in particular also in connection with other fields.