About the Journal

The Upper Rhine Artificial Intelligence Symposium is the annual scientific conference and networking event of the tri-national AI research community of TriRhenaTech.

The TriRhenaTech alliance is a network of universities in the Upper Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, and Offenburg, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes écoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.

Current Issue

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

Published: 13.05.2025

Full Issue

AI for Time Series

AI for Robotics

Other and General Topics

Posters Session

UR-AI Student School

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