Peter N. Robinson is a pioneer in the computer-assisted genome and phenotype analysis of genetic diseases. His major work has been the development of the Human Phenotype Ontology, which is now a standard tool used internationally to diagnose gene-related diseases. At the Charité in Berlin, Robinson is invited to develop algorithms for AI-based precision medicine.
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By introducing innovative mathematical and bioinformatics methods in modelling and quantifying the impacts of climate change on public health, Joacim Rocklöv is on course to give fresh impetus to climate change research at the University of Heidelberg.
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The human gait – which usually looks intuitive and natural – is an extremely complex form of locomotion. When you are walking, you are constantly defying gravity and have to keep fine-tuning your balance. This is precisely why the upright gait is still difficult to replicate technically. Mechanical engineer Heike Vallery studies gait and balance and develops applications in hardware and control technology for the rehabilitation of people with reduced mobility.
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In most artificial intelligence (AI) applications, models learn from data that derives from a single information source. Additional data sources or so-called modalities can make AI models better and more reliable. An expert in multimodal learning, Marcus Rohrbach is set to become a Humboldt Professor for Artificial Intelligence in Darmstadt.
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Hector Geffner is seen as one of the leading minds on the global AI stage and a pioneer of automated planning. In Aachen, he is invited to enhance Germany’s visibility as an AI hub and help to further Europe’s vanguard position in developing trustworthy, human-centred AI.
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Ingmar Weber conducts research at the interface of the social sciences and artificial intelligence. He uses statistical methods to analyse data generated by social platforms in order to make statements about political polarisation or to model migration movements.
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By developing and applying differential dynamic logics, André Platzer has made a crucial contribution to testing the security of cyber-physical systems in, for example, traffic, aviation and shipping as well as robotics.
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Alexander von Humboldt Professorship for Artificial Intelligence 2020 Peter Dayan At the University of Tübingen, Peter Dayan will connect informatics and neuroscience, also building bridges to clinica
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Whether you think in terms of autonomous drones, self-driving cars or robots that care for the sick or support older people, machines constantly have to respond to new and unexpected situations. Not all of these situations can be predicted and programmed with the appropriate default response. Machine learning and robots that learn from their experience are the solution.
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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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