Living and working with robots changes people. How can artificial intelligence (AI) be innovative whilst respecting social values at the same time? In the person of Aimee van Wynsberghe, Bonn is gaining one of the world’s leading researchers in AI and robot ethics.
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When mathematics meets AI, and optimisation, machine learning: mathematician Suvrit Sra’s fundamental works on methods of optimisation have made a seminal and incomparable contribution to the theoretical understanding and continued development of learning systems. TUM Munich wants to harness the Humboldt Professorship for Artificial Intelligence to expand its leading position in the field of artificial intelligence.
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The fundamental research conducted by computer scientist Stefanie Jegelka has led to a better understanding and optimisation of graph neural networks (GNNs) and made her name. In Munich, she is called upon to drive our theoretical understanding of machine learning and develop algorithms as well as trustworthy machine learning tools.
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At the Centre for Cognitive Science at TU Darmstadt, the adaptive and intelligent behaviour of humans and machines is a focus of research. Endowed with a Humboldt Professorship, Angela Yu is invited to assume a bridging function there between artificial intelligence and the neurosciences.
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Both as one of the pioneers of the young discipline of the philosophy and ethics of artificial intelligence and an intermediary between topics in the humanities and technology, Vincent C. Müller is invited to help develop a guiding vision for “humane AI” in Germany.
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No machine learning, no modern artificial intelligence (AI). But there are only a few people in the world who have the expertise to construct algorithms and teach AI systems how they should carry out certain tasks. That is why Holger Hoos puts his faith in automated machine learning, an approach to AI research which he has pioneered.
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The mathematician, statistician and computer scientist Sayan Mukherjee has produced crucial work in the still young field of topological data analysis through which imaging methods can be improved and predictions made about diseases. In Leipzig, Mukherjee’s expertise in the evaluation of biological data is set to open up new avenues in precision medicine.
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Whether in smartphones, traffic detectors or medical images – in many aspects of our everyday lives, we take high-quality images for granted, in some situations they have become vital. In Würzburg, Radu Timofte’s work on image enhancement will forge links between different research areas.
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Yaochu Jin is one of the leading pioneers of swarm robotics. In this special sub-area, he conflates his outstanding expert knowledge from various fields of computational intelligence. In Bielefeld, his expertise will be utilised to span the interdisciplinary bridge between AI research in the Technical Faculty and applications in bioinformatics and biotechnology in the newly established Medical Faculty.
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Alexander von Humboldt Professorship for Artificial Intelligence 2020 Daniel Rückert As the head of a new Institute for Artificial Intelligence in Healthcare and Medicine, Daniel Rückert is scheduled
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