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
2nd DAAD Zuse Schools Meeting
From 28 to 30 October, the second annual meeting of the three DAAD Zuse Schools of Excellence in Artificial Intelligence, ELIZA (Darmstadt), SECAI (Dresden), und relAI (Munich) took place in Munich. The meeting kicked off on the 28th with a work-meeting of the Zuse Schools directors and coordination teams, the chairman of the Zuse Schools Advisory Board, … Read more
...more
1st relAI Scientific Advisory Board Meeting
On 30 October 2024, the relAI Scientific Advisory Board (SAB) met in Munich. Throughout the Meeting, SAB Members talked to relAI Directors and Fellows, Students, and the Management Team to gain insights into the relAI program from various perspectives within the relAI family. The SAB members shared their extensive experience from numerous international research projects. They advised … Read more
...more
Best paper award for Sameer Ambekar
Congratulations! relAI student Sameer Ambekar wins the best paper award at the MICCAI Workshop on Advancing Data Solutions in Medical Imaging AI (ADSMI). Sameer is a PhD student at relAI, advised by the relAI Fellow Julia A. Schnabel. His research focusses on test-time adaptation and domain generalization for medical imaging. His award-winning paper “Selective Test-Time Adaptation for Unsupervised … Read more
...more