©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.
20.06.2025
Zooming in on Moments: ReVisionLLM for Long-Form Video Understanding
MCML Research Insight - With Tanveer Hannan and Thomas Seidl
Imagine watching a two-hour video and trying to find the exact moment someone scores a goal - or says something important. Humans can do this with ease by skimming and zooming in. But for AI, finding specific moments in long videos is incredibly hard. Most current AI systems struggle to handle more than a few minutes of video at a time. They often …
18.06.2025
ERC Advanced Grant for Albrecht Schmidt
MCML PI Receives Funding for Research on Personalized Generative AI
MCML PI Albrecht Schmidt has been awarded an Advanced Grant by the European Research Council (ERC) for his project “AI of Human Experience: Towards Personal Generative AI‑Systems for Amplifying Human Cognition.” The project explores the development of personalized generative AI systems designed to support human memory, planning, and creativity.
12.06.2025
Why Causal Reasoning Is Crucial for Reliable AI Decisions
MCML Research Insight - With Christoph Kern, Unai Fischer-Abaigar, Jonas Schweisthal, Dennis Frauen, Stefan Feuerriegel and Frauke Kreuter
As algorithms increasingly make decisions that impact our lives, from managing city traffic to recommending hospital treatments, one question becomes urgent: Can we trust them?
11.06.2025
Better Data, Smarter AI: Why Quality Matters – With Frauke Kreuter
Research Film
How does data quality shape the future of AI? Frauke Kreuter, Professor at the Chair of Statistics and Data Science at LMU Munich and MCML PI, shares her insights on the fundamental role of data quality in the development and deployment of AI.
©Jan Zappner Credit: re:publica
11.06.2025
Björn Ommer Delivers Keynote at re:publica 2025
Generative AI and the Future of Intelligence
At re:publica 2025 in Berlin, our PI Björn Ommer gave the opening keynote on how generative AI is transforming intelligence into accessible, scalable knowledge. This shift moves society from raw information to decision-relevant knowledge, empowering individuals. Björn highlighted how personal generative AI will change our thinking and …
11.06.2025
Benjamin Lange Featured on the mCAST Podcast
Artificial Intelligence in Mobility: Your Friend and Helper?
MCML Junior Research Group Leader Benjamin Lange was recently featured on the mCAST podcast. He talks about the ethical challenges of using artificial intelligence in mobility, explains the concept of Human-in-the-Loop, and discusses how AI is already applied today and what future possibilities it holds.
10.06.2025
MCML Researchers With 31 Papers at CVPR 2025
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025). Nashville, TN, USA, 11.06.2025 - 15.06.2025
We are happy to announce that MCML researchers are represented with 31 papers at CVPR 2025. Read more to get details on the topics.
©TUM
04.06.2025
Daniel Rückert Elected Fellow of the Royal Society
Over 90 Scientists Elected as Royal Society Fellows in 2025
MCML Director Daniel Rückert has been elected to the Fellowship of the Royal Society, UK’s national academy of sciences, in recognition of his contributions to artificial intelligence in medicine and healthcare. The Fellowship is awarded to individuals who have significantly advanced knowledge in their field. The Fellows join the ranks of Stephen …
20.05.2025
Call for Papers for NLPOR - First Workshop on Bridging NLP and Public Opinion Research
Co-Located With COLM 2025, 10.10.2025, Montreal, Canada
Recent advances in Natural Language Processing (NLP) and Large Language Models (LLMs) are transforming how we engage with and interpret human-generated data—highlighting critical issues around data quality, bias, and ethics. At the same time, Public Opinion Research (POR) offers well-established methods for collecting high-quality, representative …