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
Congratulations to relAI fellow Björn Ommer
Congratulations! Our relAI Fellow Björn Ommer was nominated for the Deutscher Zukunftspreis for his work on “Democratisation of Generative AI – Stable Diffusion from Development to Practice”. With the Deutscher Zukunftspreis, the German Federal President acknowledges outstanding achievements in technology, engineering, and science, as well as software and algorithm-based innovations that significantly expand the international state of … Read more
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relAI report 2022-2024
We are excited to present the first relAI report. The report opens with remarks from Markus Blume, Bavarian Minister for Science and Arts, alongside our relAI directors Stephan Günnemann (TUM) and Gitta Kutyniok (LMU). It provides an insightful overview of the key components of our relAI school, including our research, educational initiatives, and organizational structure. Most importantly, it … Read more
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Munich AI Lecture with Prof. Dr. Helmut Bölcskei
Save the date! We are pleased to invite you to the upcoming Munich AI Lecture featuring renowned researcher Prof. Dr. Helmut Bölcskei hosted by our relAI director Prof. Dr. Gitta Kutyniok, Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at LMU. Deep neural networks have led to breakthrough results in numerous practical machine learning tasks. In … Read more
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