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A mixed team consisting of members of the group of Prof. Luca Benini at the Institute of Integrated Systems and the Università di Bologna has won the Open-Source Hardware/Software Award at the "SAMOS XXII" International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation.

Prof. Ender Konukoglu, currently Tenure Track Assistant Professor at ETH Zurich, has been appointed as Associate Professor of Biomedical Image Computing.

The Standard Platform team NomadZ of the Computer Vision Lab (CVL) and the Automatic Control Laboratory (IfA) is participating in the RoboCup 2022 in Bangkok, the world cup of autonomous robotic soccer. After investing many hours into developing the algorithms that operate the robots, the team members finally have the chance to put them to the test by playing against the other participating teams.

Even today, machines can have a kind of consciousness. But can this also be compared to that of a human being? "The assumption that you only need enough data to explain the world to a machine is wrong," says Benjamin Grewe, Professor of Neuroinformatics. After all, humans don't need to be fed trillions of words.

Touchdown, park, hook up, unload, clean, refuel, load, and depart – every minute counts when it comes to aeroplane turnarounds. D-ITET spin-​off Assaia’s technology revolutionises the workflow on the tarmac to make it more efficient, safer, and sustainable. An interview with Max Diez, CEO of Assaia.

D-ITET's Master's Graduation Ceremony took place in ETH's Scherrer Auditorium on 1 July 2022. 140 graduates of the Master's programmes in Electrical Engineering and Information Technology (EEIT), Biomedical Engineering (BME), Energy Science and Technology (EST), and the new study programme Quantum Engineering (QE) attended the celebration together with their families and friends.

Patrick Jattke, a doctoral student in the Computer Security Group, led by Prof. Kaveh Razavi, has been awarded the prestigious Qualcomm Innovation Fellowship Europe award. Patrick has been selected for his proposal "Rowhammer Meets AI: Leveraging Deep Learning for Building a General Rowhammer Testing Methodology".