Cancer cells grow significantly quicker in the body than normal cells. Their metabolism thus functions differently and utilises nutrients at a much faster rate. The metabolism researcher Christian Frezza is searching for ways of disturbing or even preventing nutrient utilisation in cancer cells so that they can no long grow and eventually die.
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Watching life evolving – Jan Huisken’s work makes it possible. A pioneer of modern microscopy, he is now set to reinforce the existing research focus in microscopy at the University of Göttingen and help to better understand the development of cells and organs.
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Mathematician, science historian, sinologist and philosopher Andrea Bréard investigates the history of mathematics in China. She draws on economic, political and social history to acquire insights into China’s intellectual history in its entirety.
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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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As a specialist in Einstein field equations, the mathematician Gustav Holzegel studies physical theories on the properties of the universe. He has, for instance, managed to find solutions to the mathematical equations in the general theory of relativity which explain the stability of black holes.
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Stefan Hofmann is a leading expert in the treatment of anxiety disorders and depression using cognitive behavioural therapy which his research has crucially shaped and further developed by employing neurological methods.
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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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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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