26.10.2025
Unai Fischer-Abaigar Featured on Executive Code
AI Prediction and Its Impact on Government Resource Allocation
MCML Junior Member Unai Fischer-Abaigar, was featured in a recent episode of Executive Code. He discussed his paper “The Value of Prediction in Identifying the Worst-Off”, exploring how governments use AI to allocate limited resources and when improving predictive models is more effective than simply expanding access to public programs. Using real data from Germany’s employment offices, his research challenges the assumption that better prediction always leads to better outcomes in public decision-making.
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08.10.2026
Best Paper Award at ASMUS workshop at MICCAI 2026
Ultra-Wide-NeRF, co-authored by MCML PI Nassir Navab and team, won the Best Paper Award at the ASMUS workshop at MICCAI 2026.
08.10.2026
RobCo Is TUM’s 24th Unicorn
RobCo, whose founders were supported by MCML PI Matthias Althoff, has become TUM's 24th unicorn, valued at over one billion euros.
