Aerialist is dedicated to creating innovative solutions for unattended or home environments by developing intelligent assistive health technologies.
AI decision transparency for trustworthy applications in robotics and autonomous driving.
The DFG-funded RUSHMORE project explores innovative methods for generating synthetic mobility data and supports research with FAIR-compliant data services.
QPM improves model explainability and predictability, enabling safer and more transparent AI image recognition.
Transforming research collaboration in mathematics, social sciences and humanities (SSH), earth systems and molecular dynamics – this is the aim of the new LUMEN project […]
TrustKG is an innovative hybrid AI technology that uses knowledge graphs to provide transparent, comprehensible AI recommendations - for example, in medical diagnostics.
L3S is a partner in a new European research project that aims to improve work in the social sciences and humanities using artificial intelligence, a […]
Multimodal Deep Learning for Healthcare: Researchers combine time series and image data to enhance medical diagnosis accuracy
The L3S is part of the new research project FEDCOV that investigates the pathogenesis of long-/post-COVID by using huge amounts of data and new AI […]
Awarded the L3S Best Publication in the category "Robotics": ACROSS makes old sensor data usable for modern robotics and facilitates collaboration between research labs.
