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  • UR-AI2023 : The Upper-Rhine Artificial Intelligence Symposium : Artificial Intelligence for Time Series, Robotics and Beyond

    The 5th "Upper Rhine Artificial Intelligence Symposium" (URAI) took place on 17.11.23 at ENSISA in cooperation with IRIMAS (Institut de Recherche en Informatique, Mathématiques, Automatique et Signal) of the Université de Haute-Alsace. It was preceded on 16.11.23 by an autumn school for students of TriRhenaTech partner institutions.

    The symposium highlighted current applications of artificial intelligence in cooperation with industrial and scientific partners. The motto of the URAI 2023 event was AI for time series, robotics and beyond.

    Topics included, but were not limited to : image and scene understanding, natural language processing, machine learning, data mining, reasoning, efficient computing, deployment and operation of AI systems, architectures for AI, AI in and for education, social and ethical impact, applications of AI in various fields.

    Website: https://urai2023.sciencesconf.org/

  • Proceedings of the Upper-Rhine Artificial Intelligence Symposium 2024

    URAI 2024 was hosted by the Institute for Machine Learning and Analytics at Offenburg University on November 13th and 14th. The theme for URAI'24 was "Applied AI in the age of Generative AI".

    All submissions received at least two independent reviews from members of the PC in a single blind setting. The papers were accepted for oral or poster presentation.  

    General chairs: Klaus Dorer (HS Offenburg) and Janis Keuper (HS Offenburg)

    Program Committee: Klaus Dorer (HS Offenburg), Uwe Haneke (HS Karlsruhe),  Janis Keuper (HS Offenburg), Thomas Lampert (Université de Strasbourg), Tobias Lauer (HS Offenburg), Jean-Philippe Lauffenburger (Université de Haute-Alsace), Stefan Naumann (HS Trier), Daniela Oelke (HS Offenburg), Maja Temerinac-Ott (HS Furtwangen), Christoph Reich (HS Furtwangen), Susanne Suter (FH Nordwestschweiz), Dieter Wallach (HS Kaiserslautern)

    Website: http://urai24.org

    ISBN: 978-3-943301-34-2