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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems Further scientific development
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Digitisation and advances in data science, including artificial intelligence (AI), which influence and change all areas of life, have a particular impact on life sciences and health-related sciences. For example
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artificial intelligence, biology, (cognitive) neuroscience, genetics, linguistics, mathematics, neurobiology, neuroimaging, neurology, neurophysics, philosophy, physics, psychiatry, and psychology
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analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. This is based on perspective and
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way. We are dedicated to current research questions on automated and cooperative driving and combine a wide range of competencies in the fields of sensor technology, communication and artificial
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topics in semiconductor technology and power electronics. The mission of the »Modeling and Artificial Intelligence« department is to optimize processes, components and systems, including their reliability
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learning, artificial intelligence, renewable energies and sustainability. In addition, Next Generation Computing and Quantum Computing are future issues that our researchers are dealing with. Our research
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and mortality registry, community-embedded settings for participatory research, and cutting-edge methodological expertise in causal inference and artificial intelligence methods for epidemiology and
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provide a range of services and applications, from standard workstations to artificial intelligence and deep learning. The digital transformation is a strategic guiding principle for the development