©MCML
23.12.2024
Collaboration Between TUM and Stanford (Framework)
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 …
©MCML
19.12.2024
Epistemic Foundations and Limitations of Statistics and Science
Blogpost on the Replication Crisis
The Open Science Initiative in Statistics and the MCML recently hosted a workshop about epistemic foundations and limitations of statistics and science. The event brought together researchers from diverse fields to discuss one of science’s most …
11.12.2024
Understanding Vision Loss and the Need for Early Treatment
Researcher in Focus: Jesse Grootjen
MCML Junior Member Jesse Grootjen is writing his doctoral thesis at the Chair of Human-Centered Ubiquitous Media at LMU Munich. The group conducts research at the crossroads of human computer interaction, media technology, and ubiquitous computing. The overall research question is: how can we enhance human abilities through digital technologies?
04.12.2024
AI and Weather Predictions
Researcher in Focus: Kevin Höhlein
MCML Junior Member Kevin Höhlein is a PhD student at the Chair of Computer Graphics and Visualization (TUM), researching applications of data science and machine learning techniques in the context of meteorological data analysis.
28.11.2024
Enhancing the Integrity of Social Media With AI
Researcher in Focus: Dominik Bär
MCML Member Dominik Bär is a researcher at the Institute of Artificial Intelligence (AI) in Management at LMU, working within the research group of Stefan Feuerriegel. He is pursuing his PhD with a focus on social media analytics.
12.11.2024
Exploring the Impact of AI in Medicine
Researcher in Focus: Anna Reithmeir
MCML Junior Member Anna Reithmeir is writing her doctoral thesis at the Chair of “Computational Imaging and AI in Medicine” at TUM. Her work addresses the complexity of aligning images from different times or modalities, enabling the comparison of anatomical changes such as tumor growth.
©MCML & Lukas Gosch - TUM
08.04.2024
Get to Know MCML Junior Member Lukas Gosch
Created During the First MCMLxDJS-Workshop
MCML Junior Member Lukas Gosch conducts research on how quickly - or slowly - AI algorithms react to changes. His field of work is the reliability of artificial intelligence, or more precisely, of machine learning algorithms. As these algorithms are playing an increasingly important role in our lives, he finds the sociological, political and …
©MCML & Maximiliane Windl - LMU
02.04.2024
Get to Know MCML Junior Member Maximiliane Windl
Created During the First MCMLxDJS-Workshop
MCML Junior Member Maximiliane Windl’s research focuses on understanding and mitigating privacy concerns in ubiquitous computing systems. Her main concern is one thing: how can people become more aware of what data these devices are constantly collecting?