The photo gallery shows memorable moments of our opening ceremony.
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Munich AI Lecture of Prof. Dr. Jean-Luc Starck
It is our great pleasure to announce the next Munich AI Lecture featuring Prof. Dr. Jean-Luc Starck, Director of Research and head of the CosmoStat laboratory at the Institute of Research into the Fundamental Laws of the Universe, Département d’Astrophysique, CEA-Saclay, France. The lecture is organized by relAI director Prof. Dr. Gitta Kutyniok, and co-hosted by Prof. … Read more
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A team of relAI students in an estimation competition
This month, a team of 13 talented master and PhD students from our graduate school in reliable AI (relAI) showcased their quantitative skills and teamwork in an exciting estimation competition. The participants had 30 minutes to work on 13 estimation challenges, such as “What is the average discharge of the Isar when it meets the Donau in … Read more
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relAI at AI-HUB@LMU Grand Opening
We are pleased to share that on January 29, 2025, relAI will join the opening ceremony of our partner AI-HUB@LMU to celebrate its founding. AI-HUB@LMU is a platform that, for the first time, unites all 18 faculties of Ludwig-Maximilians-Universität München as a joint scientific community and aims to advance research, teaching, and transfer in artificial intelligence and … Read more
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relAI welcomes new Fellows
relAI warmly welcomes TUM Professors Lorenzo Masia and Bene Wiestler to our school. With the addition of these two excellent fellows, relAI will enhance its research areas “Robotics & Interacting Systems” and “Medicine & Healthcare”. Lorenzo Masia is a professor of “Intelligent BioRobotic Systems” and serves as the Deputy Director of the Munich Institute for Robotics and … Read more
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relAI students at NVIDIA talk
Multi-Head Attention has become ubiquitous in modern machine learning architectures, but how much efficiency can still be gained? This question was the focus of Dr. Maximilian Baust’s talk, “Beyond Transformers: Why Beating Multi-Head Attention is Hard.” In his presentation, Dr. Baust explored potential solutions for improving efficiency, ranging from implementation strategies and algorithmic modifications to new architectures, … Read more
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