10.12.2024
©peopleimages- stock.adobe.com
MCML Featured in Bildung+ Schule Digital Magazine
KITrans: Learning and Understanding AI
The Munich Center for Machine Learning (MCML) is highlighted in the latest issue of Bildung+ Schule Digital Magazine for its role in the innovative KITrans project.
KITrans is an innovative educational project bringing accessible AI learning formats to classrooms. Together with Prof. Uta Hauck-Thum from LMU Munich and Junge Tüftler, the project introduces students and teachers to AI's potential, challenges, and responsible use through interactive workshops and co-creative formats. Participants learn to develop and adapt AI models, gaining practical insights into algorithms and data analysis.
10.12.2024
Related
©TUM
17.12.2024
Daniel Rückert Advances Stroke Diagnosis With AI Innovation
Under Daniel Rückert’s leadership, AI now accurately determines stroke timing, enabling better treatment decisions and improved patient outcomes.
©MCML
16.12.2024
The MCML Outreach Programs in 2024
From school workshops to public events, MCML's 2024 outreach programs brought AI and machine learning closer to students, teachers, and the public.
11.12.2024
Understanding Vision Loss and the Need for Early Treatment
Researcher in focus: Jesse Grootjen is writing his doctoral thesis at LMU, focusing on enhancing human abilities through digital technologies.
©TUM
09.12.2024
MCML Director Daniel Cremers on AI's Role in Improving Lives
MCML Director Daniel Cremers discusses how AI simplifies daily life, tackles ethical challenges, and shapes the future with innovative research.
04.12.2024
AI and Weather Predictions
Researcher in focus: Kevin Höhlein, PhD student at TUM, applies data science and machine learning to analyze meteorological data.