10.04.2025
Gitta Kutyniok Joins National Academy of Artificial Intelligence
Kutyniok Recognized for Her AI Research
Our PI Gitta Kutyniok has been invited to join the National Academy of Artificial Intelligence (NAAI). The invitation acknowledges her contributions to harmonic analysis, compressed sensing, and AI, as well as her recognition as SIAM Fellow (2019) and IEEE Fellow (2024). Congratulations from all of …
10.04.2025
Text2Loc: A Smarter Way to Navigate With Words
MCML Research Insight - With Yan Xia, Zifeng Ding and Daniel Cremers
Imagine standing in an unfamiliar part of a city, no GPS in sight. All you can say is, “I’m west of a green building, near a black garage.” That might be vague to a machine, but Text2Loc understands you perfectly. With this powerful new system, AI can find your exact location in a 3D map - just from …
07.04.2025
IVADO Visits MCML
Exploring Collaboration, Global Research Opportunities, and the New AI X-Change Program
The MCML was honored by the visit of Luc Vinet, Foutse Khomh, and Josée Savard from IVADO, Montreal. IVADO is a research consortium led by Université de Montréal to advance robust, reasoning, and responsible AI.
We talked about transatlantic scientific cooperation between Germany and Canada and also about the importance of research stays for young …
04.04.2025
Digdeep Podcast: How to Bring AI Into Engineering, Philipp Noll From Spread.AI?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In another new episode of #digdeep, Philipp Noll, Co-Founder from Spread.AI talks about data networking in large-scale IT projects. Data is of central importance in modern industry, both in product engineering and in the networking of the entire process chain, which ranges from research and development to production, sales, and after-sales. Despite …
03.04.2025
Digdeep Podcast: Reinvention in Structural Change – How Schwedt Goes Digital
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, the podcast reports about circular economy at Schwedt and a startup-lab with Sascha Lademann. Schwedt, a town in the Uckermark region, is facing the challenge of structural change, as its traditional industries, particularly oil refineries, are no longer viable. The region is seeking new ways to shape its economic …
03.04.2025
CUPS: Teaching AI to Understand Scenes Without Human Labels
MCML Research Insight - With Christoph Reich, Nikita Araslanov, and Daniel Cremers
What matters now
Understanding the location and semantics of objects in a scene is a significant task, enabling robots to navigate through complex environments or facilitating autonomous driving. Recent AI models for understanding scenes from images require significant guidance from humans in the form of pixel-level annotations to achieve accurate …
©Florian Generotzky / LMU
01.04.2025
AI as Co-Pilot
LMU Newsroom
Our PI Stefan Feuerriegel and his team at LMU developed AI systems to assist decision-making in areas like healthcare and public administration. The AI acts as a co-pilot—analyzing data, suggesting options, and improving transparency—while final decisions remain with humans. Their goal is to make complex processes more efficient and accountable.
01.04.2025
DataFest Germany 2025
A Weekend of Data at LMU Munich
From March 28–30, LMU Munich hosted DataFest Germany 2025, bringing together 24 student teams from 15 universities for an intense 48-hour data challenge. Participants worked with a newly developed dataset on German municipalities, tackling real-world questions through data analysis and storytelling.
©Astrid Eckert / TUM
31.03.2025
Robot Jack Navigates Like a Human – A Project Led by Angela Schoellig
TUM News Article
A research team at TUM, led by our PI Angela Schoellig, has developed the mobile robot Jack, which moves safely and efficiently through crowds. This is made possible by an innovative motion planning algorithm inspired by human behavior. Jack continuously scans its surroundings using a lidar system and updates its trajectory ten times per second, …
27.03.2025
Beyond the Black Box: Choosing the Right Feature Importance Method
MCML Research Insight - With Fiona Katharina Ewald, Ludwig Bothmann, Giuseppe Casalicchio and Bernd Bischl
Machine learning models make powerful predictions, but can we really trust them if we don’t understand how they work? Global feature importance methods help us discover which factors really matter - but choosing the wrong method can lead to misleading conclusions. To see why this is important, consider a real-world example from medicine.
©TUM
24.03.2025
Azade Farshad Receives BVM Award for Top Medical Imaging Research
Our junior member Azade Farshad was awarded the BVM Award for the best thesis in medical image processing. Her work, supervised by Nassir Navab, was recognized for its innovation and excellence. The award was presented at the German Conference on Medical Image Computing (BVM), held at OTH Regensburg. Congratulations from all of us!
©aiforgood
21.03.2025
Explainable Multimodal Agents With Symbolic Representations & Can AI Be Less Biased?
Our Junior Member Ruotong Liao at United Nations AI for Good
More than 170 audiences visited the online lecture of our Junior Member Ruotong Liao on Monday, 17. March 2025, as an invited speaker at the United Nations “AI for Good”. With her talk “Perceive, Remember, and Predict: Explainable Multimodal Agents with Symbolic Representations,” Ruotong Liao took part in the online event “Explainable Multimodal …
©TUM
18.03.2025
New Method Significantly Reduces AI Energy Consumption
TUM News Article
Researchers at the Technical University of Munich have developed an innovative method that drastically lowers the energy consumption of artificial intelligence systems. The approach optimizes computational efficiency, making AI applications more sustainable and cost-effective. Our Associate Felix Dietrich emphasized the importance of …
13.03.2025
ReNO: A Smarter Way to Enhance AI-Generated Images
MCML Research Insight - With Luca Eyring, Shyamgopal Karthik, Karsten Roth and Zeynep Akata
Despite their impressive capabilities, Text-to-Image (T2I) models frequently misinterpret detailed prompts, leading to errors in object positioning, attribute accuracy, and color fidelity. Traditional improvements rely on extensive dataset training, which is not only computationally expensive but also may not generalize well to unseen prompts. To …
10.03.2025
Björn Schuller Was Featured on ARTE TV
Therapy via AI
Our PI Björn Schuller was featured in the new ARTE TV documentary on “Therapy via AI." In the documentary, he briefly outlined the focus of his research. The AI program he presented is capable of recognizing the emotion behind spoken words, demonstrating how artificial intelligence can analyze vocal expressions to assess emotional states. Together …
©MCML
04.03.2025
Research at EWCS at the Broad Institute of MIT and Harvard
Cecilia Casolo - Funded by the MCML AI X-Change Program
During my research stay at Broad Institute of MIT and Harvard in autumn 2024, I had the pleasure of being part of the research group led by Caroline Uhler, Director of the Eric and Wendy Schmidt Center (EWCS) at the Broad Institute, and Andrew (1956) and Erna Viterbi Professor of Engineering in EECS and IDSS at MIT. My three-month stay in Boston …
27.02.2025
MCML Researchers With Six Papers at WACV 2025
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025). Tucson, AZ, USA, 28.02.2025 - 04.03.2024
We are happy to announce that MCML researchers are represented with six papers at WACV 2025. Read more to get details on the topics.
26.02.2025
AI Competition: Where Does Europe Stand?
Gitta Kutyniok on Youtube
In a recent interview with Plattform Lernende Systeme, our PI Gitta Kutyniok shared her insights on the current AI developments. She discussed what Europe needs to stay competitive, how research can better translate into real-world applications, and why mathematics plays a key role in making AI more explainable.
23.02.2025
Digdeep Podcast: Why Do We Have Reason for Digital Optimism, Alex Mrozek?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, the podcast explains reasons for digital optimism. Many people have ideas - but how do you find a really good business idea and how do you turn the idea into a successful business model? Dr. Alex Mrozek is not only the CEO of Oetker Digital, but with his platform DigitaleOptimisten.de he brings future founders, ideas …
23.02.2025
ChatGPT in Radiology: Making Medical Reports Patient-Friendly?
MCML Research Insight - With Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber and Philipp Wesp and MCML PI Michael Ingrisch
Medical reports, especially in radiology, are commonly difficult for patients to understand. Filled with complex terminology and specialized jargon, these reports are primarily written for medical professionals, often leaving patients struggling to make sense of their diagnoses. But what if AI could help? Recognizing this potential early on, the …
19.02.2025
Angela Schoellig on the BR Podcast
Mathematics and Why It Is Essential for Our Everyday Lives
Our PI Angela Schoellig, was a guest on the Blaue Couch podcast from Bayerischer Rundfunk, where she talked about the importance of mathematics in everyday life and its role in robotics. She shared insights into her research and how math helps robots make smart decisions in real time.
14.02.2025
Daniel Cremers at AI Action Summit
Discussions on the Future of AI
MCML Director Daniel Cremers met the French Minister of Science Philippe Baptiste at the AI Action Summit in Paris, last week. He was also part of the Symposium about frontiers in Generative AI at the Institut Polytechnique de Paris that hosted the scientific days of the AI Action Summit. Together with Vicky Kalogeiton, Gaël Varoquaux, Stéphane …
14.02.2025
Reinhard Heckel on Bayerischer Rundfunk
OpenAI’s New Office in Munich
OpenAI is set to open its first office in Germany, recognizing Munich’s strengths as a hub for innovation. Reinhard Heckel, MCML PI, highlighted Munich’s deeptech scene, its talented workforce, and its strong presence in industries like biotech and venture capital. “Our infrastructure here is a bit like Silicon Valley,” Heckel noted in an interview …
14.02.2025
Benjamin Lange on ZDF Heute Journal
AI in Universities
On February 10, 2025, MCML JRG Leader Benjamin Lange appeared on the ZDF program heute journal to discuss the impact of Artificial Intelligence on higher education. He pointed out that writing is an important part of the thinking process and shouldn’t be fully automated, especially in the humanities. With AI becoming more present in academia, …
©greenbutterfly - stock-adobe.com
14.02.2025
Gitta Kutyniok on Supporting Companies With the EU’s AI Act
LMU Newsroom
MCML PI Gitta Kutyniok and her team at LMU are assisting companies in tackling the challenges of the EU’s AI Act. Their research focuses on creating practical solutions to ensure compliance, while also supporting innovation. With AI regulations constantly evolving, their expertise is crucial in bridging the gap between policy and technology.
11.02.2025
Can AI Help Solve Complex Physics Equations? Meet APEBench
MCML Research Insight - With Felix Köhler, Rüdiger Westermann and Nils Thuerey
Our Junior Member Felix Köhler, together with our PIs Rüdiger Westermann and Nils Thuerey, and collaborator Simon Niedermayr, have introduced APEBench, an innovative benchmark suite. APEBench sets a new standard for evaluating autoregressive neural emulators, which are designed to solve partial differential equations (PDEs)—the fundamental …
09.02.2025
Digdeep Podcast: DeepSeek, OpenAI & Co – What’s Next for AI, Prof. Kristian Kersting?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the February episode of #digdeep, the podcast highlights DeepSeek, OpenAI & Co. When the supposed startup DeepSeek from China presented a competitive model at supposedly the lowest cost, the plate tectonics of AI conditions seemed to be breaking down: Who is leading the market, how far ahead do the already established players have, and do we …
06.02.2025
Improving Business Processes
Researcher in Focus: Gabriel Marques Tavares
MCML Junior Member Gabriel Marques Tavares has a PostDoc position at the chair of Database Systems and Data Mining at LMU Munich. His research focus is in the field of Process Mining, which investigates the execution of business processes within organizations, aiming at improving their performance, saving resources and identifying bottlenecks.
01.02.2025
MCML Associate Steffen Schneider Is Young Scientist of the Year
Academics Young Talent Prize 2024 Awarded
Every year, academics, the leading online career portal for science, research, public affairs and society, honours a person who has made a lasting contribution to the respective scientific field with outstanding and forward-looking research achievements and who has also distinguished themselves through exemplary action and voluntary commitment to …
31.01.2025
Reinhard Heckel Featured on Sat1 Newstime
DeepSeek’s Cost-Effective Model Development
In the :newstime segment from January 28, 2025, MCML Principal Investigator Reinhard Heckel commented on the new AI platform DeepSeek, highlighting its potential to enable the creation of high-quality models at low cost.
29.01.2025
Dominique Geissler Discusses the Impact of Deepfakes in Political Campaigns
AI-Generated Deepfakes: A Growing Threat to Political Integrity
Our Junior Member, Dominique Geissler, was recently featured in Stern, where she spoke about the growing concerns surrounding AI-generated deepfakes in the political sphere.
29.01.2025
Watch Fabian Theis at Alpha-Gespräche
PI Fabian Theis Talked About His New Research Results in Mathematics for Cell Biology
The host of alpha-gespräche, Mirjam Kottmann, discusses the possibilities that AI opens up for healthcare and healing with MCML PI Fabian Theis and Daniela Hartmann, Chief Physician at the Clinic for Dermatology, Allergology and Laser Medicine at the München Klinik.
©Astrid Eckert / TUM
24.01.2025
How to Analyze Millions of Individual Cells
TUM News Article
Researchers from the Technical University of Munich (TUM) and Helmholtz Munich have tested self-supervised learning as a promising approach for analysing over 20 million individual cells. MCML PI Fabian Theis holds the Chair of Mathematical Modelling of Biological Systems at TUM. Together with his team, he has investigated whether self-supervised …