Archived News

21.02.26
"ThinkingViT: Matryoshka Thinking Vision Transformer for Elastic Inference" has just been accepted to CVPR! ThinkingViT brings thinking-style adaptive computation to Vision Transformers by letting the model “think more” only when an image is hard, and exit early when it is confident. Concretely, ThinkingViT activates a small subset of the most important attention heads for an initial prediction, and progressively expands to larger subsets only if the confidence (entropy) suggests that more computation is needed. To make each rethink more powerful, we introduce Token Recycling, which fuses previous-stage embeddings back into the input so the model refines its decision instead of starting from scratch. Congratulations and thanks to the team: Ali Hojjat, Janek Haberer, Soren Pirk, Olaf Landsiedel Preprint: https://lnkd.in/eGriuYXp GitHub: https://lnkd.in/eDd84SSc
01.02.26
Drone Ballet ("Drohnenballet") is a joint project by the company Zouber from Kiel and Hamburg University of Technology, funded by the Federal Ministry of Research, Technology, and Space (BMFTR), Germany, as part of UAM-Inno Region SH. We plan to develop a new generation of creative, efficiently plannable drone shows. It focuses on AI-based flight-path planning and dynamic swarm control so that shows can be generated automatically, interactively adapted during performances, and enriched with effects such as morphing between shapes and interactive elements. The technology is also intended as a building block for further urban air mobility applications, for example, in sea rescue, agriculture, or inspection, and offers an emission-free alternative to fireworks.
19.01.26
Yesterday (19.01.2026), German broadcaster ARD reported about the Geomar research cruise M215 (MULTI-MAREX Cruise 3) to the volcanoes around Santorini and our work on earthquake detection: As part of this cruise, our researchers successfully tested our embedded AI models for earthquake detection and analysis.  Tagesschau (from minute 9) Europamagazin (longer report) Tagesschau24 (longer report) This work builds, in part, on our joint publications SeismicSense and LightEQ with Geomar and was, in part, funded by MarData.
01.01.26
Propulsion batteries will become increasingly important for powering ships and will reshape port infrastructure. While many batteries are no longer suitable for onboard use, they can still be reused in other applications. Using these retired batteries for shore power improves both cost efficiency and sustainability. The “2nd2Sea” project explores this potential by developing an AI-based battery management system (BMS) at the module level to accurately assess battery condition and reduce complexity in selecting module and cell technologies. In parallel, the project investigates flexible battery module designs and develops power electronics and an energy management system (EMS) that can intelligently integrate and optimize modules of varying quality. This project will be conducted at CAU Kiel.
25.11.25
Inaugural lectures by Prof. Dr. Bernd-Christian Renner and Prof. Dr. Olaf Landsiedel