Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
Andreas Christ, Franz Quint (eds.)

TL;DR
This collection of papers from the UR-AI 2020 symposium highlights the impact of artificial intelligence research on key industries within the Upper-Rhine region, emphasizing cross-border collaboration and technological transfer.
Contribution
It presents a compilation of research efforts and insights from a tri-national alliance aimed at advancing AI's role in industry and fostering cross-border academic and technological collaboration.
Findings
Enhanced cross-border AI research collaboration
Insights into AI's industrial applications in the Upper-Rhine region
Promotion of knowledge transfer and mobility among universities
Abstract
The TriRhenaTech alliance presents a collection of accepted papers of the cancelled tri-national 'Upper-Rhine Artificial Inteeligence Symposium' planned for 13th May 2020 in Karlsruhe. 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 \'ecoles' 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.
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Taxonomy
TopicsScientific Computing and Data Management · Image Processing and 3D Reconstruction · Artificial Intelligence in Healthcare and Education
