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TU Delft announced it is recruiting 16 talented researchers to become a member of a thriving Artificial Intelligence (AI) community that fosters cross-fertilisation between talents with different expertise and disciplines. The positions are aimed at both AI experts as well as those who wish to apply AI in their Science, Technology, Engineering or Design field.

Nine professors are now allowed to call themselves ‘Medical Delta professors’. They received a dual appointment at two or more academic institutions (LUMC, Leiden University, TU Delft, Erasmus MC, Erasmus University) that are affiliated with Medical Delta. This will boost health & technology research once again.

Social interactions make up a large part of our life, but social skills don’t come naturally to all. You can train them with self-help books or courses, and in recent years also with training systems based on supporting technologies such as virtual reality.

How can artificial intelligence (AI) accelerate scientific progress? Delft scientists will investigate this question in eight new 'TU Delft AI Labs'.

The COVID-19 pandemic is a reflection on our society and shows us just how vulnerable we are, despite all the advanced mathematical models that are supposed to make policy- and decision-makers aware of the potential risks associated with a pandemic. ‘Yet,’ write scientists Pasquale Cirillo (TU Delft) and Nassim Nicholas Taleb (New York University) in their recently published paper in Nature Physics, ‘most of these models do not look at the tail risk of infectious diseases, and there is very little questioning of the reliability of the various parameters.’ According to the scientists, extreme value theory (EVT) offers a solution for modelling the actual risks of a pandemic.

The Royal Netherlands Academy of Arts and Sciences has selected eighteen new members, four of whom are from TU Delft. One of them includes Barbara Terhal, a professor at the EEMCS Department and a staff member at QuTech since 2017.