000K utf8 1100 2025$c2025-09-01 1500 eng 2051 10.22032/dbt.67643 3000 Denzler, Joachim 3110 Jena, Multimediazentrum ; ID: gnd/1231586338 4000 Future of Machine Learning$hFriedrich-Schiller-Universität [Denzler, Joachim] 4030 Jena$nFriedrich-Schiller-Universität 4060 1 MP4 Video 4209 In this lecture, Joachim introduces the concepts of Machine Learning at ELLIS Summer School: AI for Earth and Climate Sciences (Jena, Germany, September 1-5, 2025). Joachim is a full Professor of Computer Vision at the University of Jena, Germany. He has been the founding Director of the Michael-Stifel-Center Jena for Data-driven and Simulation Science and the recently established ELLIS Unit Jena (www.ellis-jena.ai), as well as the Director of the Institute of Data Science of the German Aerospace Center (DLR). Joachim’s main research interests revolve around the analysis, prediction and understanding of complex dynamical systems, including applications from medicine, psychology and earth system sciences. Fine-grained object classification, active learning and causal inference for time-series analysis are of particular interest. He addresses these topics with the development and application of machine learning methods, including deep learning, and aspects from explainable AI. Joachim is a member of the board of the Thuringia Center for Learning Systems and Robotics (www.tzlr.de) with the mission to transfer research results from AI to industry. Joachim is excited about the potential of using applications as drivers for basic research, especially to contribute to our society’s urgent and pressing problems, like climate change and biodiversity loss. Joachim published more than 500 papers at international conferences and journals with around 10000 citations and an h-index of 54, according to google scholar. He is a PC member and reviewer of major conferences (NeurIPS, ICCV, ECCV, CVPR, ICLR) and Journals (IEEE TPAMI, IJCV, etc.). His group consists of 15 PhD students and receives funding from the German Research Foundation (DFG), Federal Ministry of Science (BMBF), and EU, as well as from industrial projects. He is a member of IEEE and IEEE Computer Society. 4950 https://doi.org/10.22032/dbt.67643$xR$3Volltext$534 4961 https://www.db-thueringen.de/receive/dbt_mods_00067643 5051 550 5550 Climate Science 5550 Earth Science