In this episode of TUM NewIn, the authors met MDSI core member Prof. Helge Stein. He develops new materials for catalysis and rechargeable batteries, and aims to connect and accelerate research in the lab using machine learning, artificial intelligence and robotics.
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Large language models may pass medical exams with flying colors but using them for diagnoses would currently be grossly negligent. Medical chatbots make hasty diagnoses, do not adhere to guidelines, and would put patients' lives at risk. This is the conclusion reached an interdisciplinary team…
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The Munich AI Day brought together leading scientists and decision-makers to discuss advances in AI research, its applications in areas such as medicine and autonomous driving as well as the safety and reliability of AI systems, and promoted the exchange of knowledge and ideas as well as networking…
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Prof. Daniel Straub, the lead of the engineering risk analysis group, discusses decision-making under uncertainty, pointing out the challanges, such as data scarcity and the role collaborative efforts can play for the field.
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PixelDINO, an advanced AI method, is being developed to efficiently monitor permafrost changes and improve our understanding of permafrost dynamics. As temperatures rise, permafrost is rapidly transforming, posing risks to infrastructure and potentially releasing stored carbon into the atmosphere.
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