©LC Productions/LMU
26.06.2025
Every Household Needs a “Digital Chimney Sweep”– Insights from Johannes Kinder
LMU Newsroom
At this year’s ACNS conference (June 23–26 in Munich), MCML Associate Johannes Kinder emphasized the growing security risks posed by smart home devices. From toothbrushes to robot vacuums, many Internet of Things (IoT) devices transmit data without proper encryption or updates, leaving users …
©TUM
26.06.2025
Zeynep Akata Receives 2025 ZukunftsWissen Prize
Award Highlights Contributions to the Field of Interpretable Machine Learning
We are happy to share that our PI Zeynep Akata has been awarded the 2025 ZukunftsWissen Prize by the German National Academy of Sciences Leopoldina and the Commerzbank Foundation. The award honors her work in explainable and trustworthy AI, including early contributions to zero-shot learning and …
26.06.2025
What Words Reveal: Analyzing Language in the Trump–Harris 2024 Debate
MCML Research Insight - With Philipp Wicke
In presidential debates, every word counts - not only what candidates say but how they say it. Words are carefully selected to resonate with voters’ values, fears, and hopes. A new insightful study by MCML Junior Member Philipp Wicke and Marianna M. Bolognesi dives deep into the September 10, 2024 …
25.06.2025
When Clinical Expertise Meets AI Innovation – With Michael Ingrisch
Research Film
Artificial intelligence has enormous potential in radiology — but realizing it requires more than good algorithms. Michael Ingrisch, Clinical Data Science Professor at LMU and MCML PI, shares how his team took a practical approach: identifying a key diagnostic challenge in PET CT imaging and inviting the broader AI community to help solve it.
23.06.2025
Autonomous Driving: From Infinite Possibilities to Safe Decisions— With Matthias Althoff
Research Film
How can we guarantee that autonomous vehicles always make the right decision in unpredictable traffic?
Matthias Althoff, Professor at the chair of Cyber-Physical Systems at the Technical University of Munich and MCML PI, explores the complex challenge of ensuring safety in AI-powered driving systems.
20.06.2025
ERC Advanced Grant for Massimo Fornasier
MCML PI Receives Funding for Nonconvex Optimization
MCML PI Massimo Fornasier has been awarded an ERC Advanced Grant for his project NEITALG. The project aims to develop new algorithms that can reliably find global solutions to challenging nonconvex optimization problems, with applications in drug development and AI safety.