Focus topic: | Artificial Intelligence |
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Type of funding: | Project funding programmes |
Programme: | CZS Breakthroughs |
Funded institution: |
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Machine learning is intended to open up new ways of processing data in human-machine interaction or fully automated. The goal is to improve the efficient use of data and to promote interdisciplinary cooperation.
Goals
Data is playing an increasingly important role in many scientific disciplines. However, their processing and subsequent use pose great challenges. Intelligent systems that use machine learning methods, for example, promise a remedy here. This makes it possible to extract knowledge and either completely automate processing steps from acquisition and analysis to storage and subsequent use, or to complete them more efficiently in cooperation between humans and machines. With a laboratory for the digitisation of science at the Michael Stifel Centre for Data-driven and Simulation-based Science (MSCJ), the University of Jena will contribute to the realisation of this vision. Here, expertise from computer science and application disciplines (including physics, bioinformatics, biology and medicine) will be brought together and researchers, from Master's students to professors, will be able to work in an interdisciplinary manner. The laboratory will initially focus on the advancement of methods and tools for the fundamentals as well as applications of machine learning and semantic methods, and on basic questions from the applied research disciplines. In addition, the laboratory will provide the MSCJ researchers from the University of Jena, the Max Planck Institutes for Biogeochemistry and Human History as well as the DLR Institute for Data Science with a bundle of tools for networking and promoting young researchers. It thus offers an ideal framework for the advancement of sustainable, continuous and interdisciplinary research in all areas of digitisation at the Jena location.
Involved persons:
Prof. Dr. Joachim Denzler
Friedrich-Schiller-Universität Jena
Detailed information:
Focus topic: | Artificial Intelligence |
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Programme: | CZS Breakthroughs |
Type of funding: | Project funding programmes |
Target group: | Professors |
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Funding budget: | 3.000.000 € |
Period of time: | April 2019 - September 2024 |