July 7, 2026
SECAI exhibits at OUTPUT.DD and the Long Night of Science
On June 25 and 26, SECAI presented two interactive demonstrators – CartesIAn and Washing Machine – developed by doctoral students at the SECAI Graduate School at OUTPUT.DD, the project showcase of the Faculty of Computer Science at TU Dresden, as well as at the Long Night of Science in Dresden. Both projects gave visitors exciting insights into current research in the field of artificial intelligence and invited them to participate in hands-on activities.
OUTPUT.DD is the annual project showcase of the Faculty of Computer Science at TU Dresden. Students and faculty members present their academic and research findings to the public. Through installations, workshops, lectures, and exhibitions, the event offers diverse insights into current research topics and fosters exchange among students, experts, and representatives from industry.
On the following day, the Long Night of Science took place in Dresden, bringing science, technology, innovation, art, and culture to a broad audience throughout the city. Universities, research institutions, and companies opened their doors, offering a glimpse into the places where research is conducted.
SECAI was represented at both events with two demonstrators developed by doctoral students at the SECAI Graduate School, which provided insights into the diversity of research and researchers at SECAI.
The CartesIAn demonstrator visualizes the SECAI community as a two-dimensional map: doctoral students and Fellows are plotted on a coordinate system according to their research focuses and color-coded by subject area. The profile view displays details of their research topics and links to publications and similar resources. This clearly illustrates the wide range of research areas represented at SECAI.
The second demonstrator – Washing Machine – uses the DIGIT tactile sensor to classify fabric materials based on their haptic characteristics. The audience was given a practical demonstration of how such an image classification model works and what is required for model training. Visitors were also able to get hands-on experience by feeling the fabrics in a “touch box” – the “washing machine” – and comparing their own assessments with the classification results from a trained AI model.
Over the course of the two-day event, the Zuse School SECAI was able to showcase itself to the public as an outstanding project and a training ground for AI talent.