21.11.2024
©TUM
MCML PI Zeynep Akata Selected as One of the 'Top 40 Under 40'
Helmholtz Newsroom
The 'Capital' Magazine selected Akata as one of the 'Top 40 Under 40'. In this interview, she shares insights insights into her groundbreaking work in explainable and robust artificial intelligence (AI). She discusses how her research bridges the gap between complex AI systems and practical applications, particularly in healthcare, emphasizing the need for transparency and reliability in AI decision-making.
21.11.2024
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Eyke Hüllermeier to Lead New DFG-Funded Research Training Group METEOR
MCML PI Eyke Hüllermeier to lead new DFG-funded RTG METEOR, uniting ML and control theory to build robust, explainable AI systems.
©LC Productions/LMU
26.06.2025
Every Household Needs a “Digital Chimney Sweep”– Insights From Johannes Kinder
MCML Associate Johannes Kinder highlights the security risks of smart devices in homes, emphasizing the need for regular updates and user awareness.
©Florian Generotzky / LMU
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AI as Co-Pilot
AI tools by Stefan Feuerriegel’s team at LMU support public decision-making, aiming for efficiency, transparency, and human control.
©Astrid Eckert / TUM
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Robot Jack Navigates Like a Human – A Project Led by Angela Schoellig
Angela Schoellig’s team at TUM developed robot Jack, which navigates safely through crowds using human-inspired motion planning.
