Research
Trustworthy AI – reliable and predictable
ETH Zurich researchers Andreas Krause, Alexander Ilic, Julia Vogt, Petar Tsankov and Margarita Boenig-Liptsin are developing AI that is transparent, interpretable and aligned with societal values. Through the ETH AI Center and the Swiss AI Initiative, they ensure AI systems are both reliable and trustworthy.
Making AI more accessible in football
Researchers at ETH Zurich’s Advanced Interactive Technologies (AIT) Lab, including doctoral student Tianjian Jiang, are working with FIFA to make AI-driven football analysis more accessible. By creating WorldPose, a dataset of 3D player poses from the FIFA World Cup 2022, they aim to develop AI solutions that work with a single broadcast camera instead of costly multi-camera setups.
Informatiktage 2025: Open Day at ETH Zurich
From 22 to 29 March 2025, it’s that time again: companies, universities and organisations in the Greater Zurich Area are inviting you to dive into the fascinating world of computer science as part of the Informatiktage. On Saturday, 29 March, the Department of Computer Science, together with the ETH AI Center, the ETH IT Services, the Swiss Data Science Center and several ETH spin-offs and start-ups, will open their doors and invite visitors to a diverse mix of programme highlights.
Machine learning method could revolutionise multi-messenger astronomy
Observing binary neutron star mergers is high on the wish list of astronomers. In a study published in the scientific journal Nature, an interdisciplinary team of researchers including ETH Zurich postdoc Maximilian Dax and Professor Bernhard Schölkopf presents a novel machine learning method to analyse gravitational waves emitted from neutron star collisions almost instantaneously – even before the merger is fully observed.
DisneyResearch|Studios technology receives Sci-Tech Oscar
DisneyResearch|Studios, a close partner of ETH Zurich and led by Computer Science Professor Markus Gross, has been selected to receive a Scientific and Technical Award from the Academy of Motion Pictures Arts and Sciences for its Machine Learning Denoiser technology. The Academy recognises technologies that have proven to add significant value to the process of making motion pictures.
Faculty at the Department of Computer Science
Mind the GAP! Getting Academic Positions Interview Series
Would you like to know more about transitioning from a doctorate or a postdoctoral research position to a faculty position? In the interview series "GAP: Getting Academic Positions", young faculty members from ETH Zurich and other universities share their experiences and insights about this process.
