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 Fellows receive Google.org AI for Science fund
🎉 Congratulations to our relAI Fellows Daniel Rueckert and Fabian Theis 💐Google.org, the philanthropic arm of Google, has announced the twelve recipients for its $20 million AI for Science fund. This initiative aims to accelerate research in health, agriculture, biodiversity, and climate. The Technische Universität München is among the organizations that received funding to advance health research. … Read more
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Introduction to neuromorphic computing
The power consumption of the brain is approximately 20 watts, comparable to that of some light bulbs 💡. Currently, digital computers operate at power inputs that are several orders of magnitude higher, particularly when AI algorithms attempt to emulate a subset of brain capabilities. 🪄Should we consider mimicking the brain to investigate the potential in biomimetic computation … Read more
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Fruitful scientific interaction between relAI, MDSI and SAP
On January 20, 2026, researchers from relAI, MDSI and our industry partner SAP gathered for a pitchtalk session at the SAP Labs Munich Campus in Garching. In an interactive setup, participants from the three organizations exchanged research insights and explored ideas for future collaborations. The afternoon opened with short welcome words from representatives of SAP (Dr. Tobias … Read more
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