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Source: Deutsche Forschungsgemeinschaft, around seven million euros in funding for three years / Trilateral projects complement the strategic DFG funding initiative for AI research

The German Research Foundation (DFG), together with the Agence Nationale de la Recherche (ANR, France) and the Japan Science and Technology Agency (JST, Japan), is funding nine projects in the field of artificial intelligence. On the basis of expert opinions from internationally recognized experts, the main committee of the DFG and the responsible bodies at ANR and JST now selected the nine trilateral projects from a total of 36 submitted project applications. The projects, in which researchers from all three countries cooperate, are funded by the participating institutions with a total of around 7 million euros for three years. The DFG only finances the project costs that are required by scientists in Germany, i.e. around 2.4 million euros. The ANR and JST.DFG, ANR and JST decided in April 2019 to advertise a joint funding initiative on artificial intelligence that is not only based on criteria of scientific excellence, but also on a similar value system. The three partners are convinced that the topic of artificial intelligence is particularly suitable for a joint call: it has global relevance and can be tackled with a multinational approach. The focus should be on research questions on fundamental methodological approaches, autonomous decision-making systems and approaches to the interaction of artificial intelligence systems with humans. In July 2019, the DFG, ANR and JST therefore invited applications for trilateral interdisciplinary research projects in the field of artificial intelligence. The applications were reviewed in a virtual review meeting on September 2, 2020 – previous plans had to be changed due to the coronavirus pandemic. Four experts from each of the participating countries commented on the 36 submitted applications. The nine funded projects are expected to be launched on November 16, 2020 at a kick-off event as part of the “Japan-France-Germany Trilateral Symposium on AI” start their work. For the DFG, the trilateral cooperation is one component of several to promote research in the field of artificial intelligence. As part of a strategic funding initiative, projects from all areas of AI research are to be funded in various DFG funding programs until 2022. The nine trilateral projects in detail: (in alphabetical order of the university locations of the DFG subprojects) “User-adaptive artificial intelligence for human Machine-Interaction “(Project leader: Professor Dr. Elisabeth André, University of Augsburg; Professor Dr. Jean-Claude Martin, Center National de la Recherche Scientifique (CNRS), Orsay; Dr. Yukiko Nakano, Research Institute of Science and Technology for Society, Saitama) “Research on real-time compliance mechanisms for AI” (project management: Professor Dr. Adrian Paschke, FU Berlin; Professor Dr. Jean-Gabriel Ganascia, University of Sorbonne; Professor Dr. Ken Satoh, National Institute of Informatics, Tokyo) “Multilingual, knowledge-enhanced information extraction for pharmacovigilance” (Project management: Professor Dr.-Ing.Sebastian Möller, TU Berlin; D r. Pierre Zweigenbaum, Laboratoire d’Informatique pour la Mécanique et les Sciences de l’Ingénieur (LIMSI), Universitaire d’Orsay; Professor Dr. Yuji Matsumoto, Nara Institute of Science and Technology, Ikoma) “Artificial intelligence for human-robot interaction” (project management: Professor Dr. Michael Beetz Ph.D., University of Bremen; Dr. Aurélie Clodic, Laboratoire d’Analyse et d ‘ Architecture des Systèmes (LAAS-CNRS), Toulouse; Dr. Takayuki Kanda, University of Kyoto) “An AI-based multi-purpose system to make assistive robot systems usable for effective object manipulation through embodied teleoperation and shared control” (project leader: Professor Jan Reinhard Peters Ph .D, TU Darmstadt; Professor Dr. Liming Chen Ph.D., Ecole Centrale Lyon; Professor Dr. Yasuhisa Hasegawa, University of Nagoya) “AI for aging societies: From basic concepts to practical tools for AI-supported cognitive training” (project management: Professor Dr. Tonio Ball, Freiburg University Medical Center; Alexandre Gramfort Ph.D., The French National Institute for Research in Computer Science and Control, INRIA Saclay – Ile de France; Dr. Mihoko Ota ke-Matsuura, Center for Advanced Intelligence Project, Riken) “Improved analysis of data streams: the connection of signature methods and machine learning” (project leader: Professor Dr. Joscha Diehl, University of Greifswald; Professor Dr. Marianne Clausel, Université de Lorraine; Dr. Nozomi Sugiura, Japan Agency for Marine-Earth Science and Technology JAMSTEC, Kanagawa) “Understanding and generating dynamic 3-D worlds for safe AI systems” (Project management: Professor Dr. Carsten Rother, Heidelberg University; Dr. David Picard, École des Ponts ParisTech; Professor Dr. Ko Nishino, University of Kyoto) “Intelligent learning circle (literally: learning cyclotron)” (Project management: Professor Dr. Andreas Dengel, Professor Dr. Jochen Kuhn, TU Kaiserslautern; Professor Dr. Laurence Devillers, Center National de la Recherche Scientifique (CNRS); Professor Dr. Koichi Kise, University of Osaka) Further information Media contact: Technical contact person: Further information on the DFG’s strategic funding initiative for AI research:


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