Welcome to relAI! – Konrad Zuse School of
Excellence in Reliable AI
The current technological revolution is largely driven by spectacular progress in artificial intelligence (AI). Yet, although the huge potential is widely recognized, the lack of reliability of AI technology is still considered a serious issue of concern, limiting its adoption both by industry and society at large. Indeed, aspects such as safety, security, and privacy-preservation are essential prerequisites for the use of AI in domains of public interest – e.g. ensuring that robots do not endanger life or respecting confidentiality of data.
The vision of the 'Konrad Zuse School of Excellence in Reliable AI' (relAI) is to train future generations of AI experts, who for the first time combine technical brilliance with awareness of the importance of AI’s reliability. Our novel, highly innovative AI program will educate top international candidates in the end-to-end development of reliable AI systems (including scientific knowledge, business expertise, and industrial exposure), both for industry and academia, and perform cutting-edge research to make AI ready for deployment in critical application domains.
relAI trains future generations of AI experts who combine technical brilliance with an eye on AI's implications for society.
NEWS
relAI Welcome Day 2024
On 9 October, we had the pleasure of welcoming the new cohort of relAI students to our school. The day began with a warm introduction from relAI directors, Gitta Kutyniok and Stephan Günnemann, followed by an informative session from our coordinators team, covering the key organizational aspects of relAI. The students spent the afternoon getting to know … Read more
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Congratulations to relAI fellow Johannes Maly
Congratulations to relAI fellow Johannes Maly on winning the 2024 ACHA Charles Chui Young Researcher Best Paper Award! This annual award honors the exceptional contributions of young researchers in the field of harmonic analysis, selected by the editors and publisher of the Journal Applied and Computational Harmonic Analysis (ACHA). Johannes received this recognition for his paper, “Robust … Read more
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Enduring Impact Award 2024 for relAI fellow Daniel Rückert
We are excited to announce that relAI fellow Daniel Rückert has been awarded the prestigious MICCAI Enduring Impact Award 2024! Daniel Rückert holds the Alexander von Humboldt Professorship for AI in Medicine and Healthcare at TUM. His research focuses on developing advanced algorithms for biomedical image analysis, including segmentation, registration, and deep learning methods to support reliable … Read more
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