News

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. [read more]

Atomistic modeling of molecules and materials is a booming field and enables new technologies. The impact of atomistic modeling has been accelerated in recent years through artificial intelligence (AI) and machine learning (ML), allowing more realistic and industry-ready studies. The Atomistic… [read more]

MDSI Director Prof. Daniel Cremers and his team have succeeded in generating precise 3D reconstructions of objects using images from only two camera perspectives. Their method works even with images captured in their natural surroundings. Previously, such reconstructions were possible only with… [read more]

With more than 4.700 participants, the TUM Sustainability Day 2024 was a great success. There were presentations, discussions and experiments at the booths, and the main hall of the Mechanical Engineering building was a hive of activity well into the evening. The topic of sustainability was looked… [read more]

Prof. Daniel Link, MDSI core member, uses artificial intelligence (AI) to analyze sports games. In this interview, he talks about how data is collected and processed in soccer, about a soccer hackathon at TUM and about how data analyses can help to improve the game. [read more]