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Link to TruthQuest – A New Benchmark for AI Reasoning

15.01.2025

TruthQuest – A New Benchmark for AI Reasoning

MCML Research Insight - With Philipp Mondorf and Barbara Plank

In their recent work, “Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models” our Junior Member Philipp Mondorf and our PI Barbara Plank tackle a fascinating question: How well do AI systems handle complex reasoning tasks?

Link to Fabian Theis Discusses AI’s Impact on Healthcare

14.01.2025

Fabian Theis Discusses AI’s Impact on Healthcare

“Science Date” With Fabian Theis

In the “Science Date” segment on “NANO,” our PI Fabian Theis discusses key questions on AI and its role in healthcare: Can we recreate the human brain? Will AI make humans obsolete? And how is AI transforming medical research? He suggests that AI can make healthcare more accessible, affordable, and …

Link to Digdeep Podcast: Goodbye 2024, Hello 2025!

07.01.2025

Digdeep Podcast: Goodbye 2024, Hello 2025!

News From the Digital World by MCML PI Frauke Kreuter and Christof Horn

The first 2025 episode of #digdeep reflects on twelve exciting topics and interviews in 2024 that inspired both podcast creators and listeners. Whether in mechanical engineering, where even medium-sized companies can get ahead with attractive digital concepts, or in medicine and healthcare, where new …

Link to Research Collaboration Between TUM/MCML and Stanford University

07.01.2025

Research Collaboration Between TUM/MCML and Stanford University

Funded by the MCML AI X-Change Program and BaCaTeC

During the summer of 2024, I had the privilege of representing the Computer Vision Group at TUM, led by Prof. Daniel Cremers, in a collaborative research project with the Geometric Computing Group at Stanford University, headed by Prof. Leonidas Guibas. During my three-month stay at Stanford, researchers from both institutes delved deeply into the …

Link to Angela Dai Is Advancing Automotive Design With Artificial Intelligence

07.01.2025

Angela Dai Is Advancing Automotive Design With Artificial Intelligence

TUM News Article

Our PI, Angela Dai, focuses on the application of artificial intelligence to design and optimize complex systems. Her research contributes to the development of AI technologies that enable faster and more efficient designs in the automotive industry. By using advanced algorithms, her work helps reduce development costs and enhance the …

Link to Merry Christmas and a Happy New Year 2025

23.12.2024

Merry Christmas and a Happy New Year 2025

Season’s Greetings From the Entire Team at the MCML

Thank you for a successful year of collaborations and partnership! Cheers to a festive season! We look forward to seeing you in 2025!

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