The photo gallery shows memorable moments of our opening ceremony.
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relAI with SIPTA Summer School
relAI is proud to support SIPTA, the Summer School on Imprecise Probabilities 2026, which will be held in Munich from Monday, July 27, to Friday, July 31, 2026. The school is organized by the Chair of Artificial Intelligence and Machine Learning (AIML), Institute of Informatics, and AG Augustin, Department of Statistics, both at LMU Munich. The organizing … Read more
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Best Poster Award for Inés Rosellón-Inclán
🎉 Congratulations to relAI PhD student Inés Rosellón-Inclán for winning the Best Poster Award at the ERASMUS+ International PhD Summer School on Mathematics and Machine Learning for Image Analysis for her work CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing The summer school took place in Bologna from June 9 to June 17, 2026, … Read more
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relAI work at ICML 2026
We are happy to announce that relAI will be represented in Seoul, South Korea, from July 6 to 11 at the Forty-Third International Conference on Machine Learning (ICML2026)!. ICML is widely recognized as one of the top three most influential conferences in machine learning and artificial intelligence research. 📖 About relAI Publications at ICML 🤝Meet relAI Students … Read more
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relAI at the European Embodied Robotics Week
We are pleased to share relAI’s contribution to the European Embodied Robotics Week, whichtook place last week in Munich. The event was organizedby RoboTUM together with START Munich and the ESRA (European Student Robotics Association) network. The Robotics Festival convened a diverse range of stakeholders from the European robotics and physical artificial intelligence ecosystem. Specialists, students, and … Read more
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Disparate privacy risks from medical AI
relAI is proud to announce an outstanding achievement – a first author publication of Moritz Knolle, one of relAI’s PhD students, in Nature journal. Medical AI models are increasingly utilized in applications such as diagnosing and remotely treating patients. While these models have proven valuable to both practitioners and patients, concerns remain about the privacy of patients … Read more
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