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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

  • 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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  • relAI at TUM Open Day : Impressions

    We were thrilled to present relAI at the TUM Open House Research Campus Garching! It was a great opportunity to share our vision of reliable AI and to connect with students, researchers and the public.   At our booth, we demonstrated how AI works through engaging games and simulations. Attendees explored how AI algorithms learn, trained their own … Read more

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  • Congratulations to relAI fellow Björn Ommer

    We are excited to congratulate our relAI fellow, Prof. Björn Ommer, on receiving the prestigious 2024 German AI Innovation Award!    This recognition honors his pioneering work on Stable Diffusion, a generative AI model that has democratized image generation. Stable Diffusion enables users to create high-quality images from text descriptions, making advanced image generation accessible through open-source … Read more

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