Marcus Rohrbach
Alexander von Humboldt Professorship for Artificial Intelligence 2022 Marcus Rohrbach In most artificial intelligence (AI) applications, models learn from data that derives from a single information s
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André Platzer
Alexander von Humboldt Professorship for Artificial Intelligence 2023 André Platzer By developing and applying differential dynamic logics, André Platzer has made a crucial contribution to testing the
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Ingmar Weber
Alexander von Humboldt Professorship for Artificial Intelligence 2023 Ingmar Weber Ingmar Weber conducts research at the interface of the social sciences and artificial intelligence. He uses statistic
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Aimee van Wynsberghe
Alexander von Humboldt Professorship for Artificial Intelligence 2021 Aimee van Wynsberghe Living and working with robots changes people. How can artificial intelligence (AI) be innovative whilst resp
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Angela Schoellig
Alexander von Humboldt Professorship for Artificial Intelligence 2021 Angela Schoellig Whether you think in terms of autonomous drones, self-driving cars or robots that care for the sick or support ol
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Vincent C. Müller
Alexander von Humboldt Professorship for Artificial Intelligence 2022 Vincent C. Müller Both as one of the pioneers of the young discipline of the philosophy and ethics of artificial intelligence and
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Yaochu Jin
Alexander von Humboldt Professorship for Artificial Intelligence 2022 Yaochu Jin Yaochu Jin is one of the leading pioneers of swarm robotics. In this special sub-area, he conflates his outstanding exp
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Holger Hoos
Alexander von Humboldt Professorship for Artificial Intelligence 2022 Holger Hoos No machine learning, no modern artificial intelligence (AI). But there are only a few people in the world who have the
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Sayan Mukherjee
Alexander von Humboldt Professorship for Artificial Intelligence 2022 Sayan Mukherjee The mathematician, statistician and computer scientist Sayan Mukherjee has produced crucial work in the still youn
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Radu Timofte
Alexander von Humboldt Professorship for Artificial Intelligence 2022 Radu Timofte Whether in smartphones, traffic detectors or medical images – in many aspects of our everyday lives, we take high-qua
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