AI systems that understand both images and text play a key role in technologies like search engines and autonomous vehicles – but they remain vulnerable to manipulation and bias. Researchers at L3S have developed a new training method that improves the reliability and fairness of these systems.
The DAISEC, coordinated by the L3S, has been awarded a three-year funding extension by the EU through 2028.
The team RAGtifier from L3S secured third place in the SIGIR 2025 LiveRAG Challenge. The Technology Innovation Institute (TII) hosted the competition with support from […]
Sensors can become inaccurate over time, which can lead to incorrect decisions being made. L3S's AutoML solution automatically detects this drift and corrects it in real time, ensuring reliable data.
L3S and TIB support innovative LAION project on empathic AI
In June, the SisWiss project was launched at L3S, which focuses on developing secure language models (LLMs) for controlled knowledge management in organisations.
L3S member Maria-Esther Vidal, Professor at Leibniz University Hannover and Head of the Scientific Data Management Research Group at TIB, has been accepted a member […]
AI Grid supports Master’s students and doctoral candidates in the field of artificial intelligence by helping them develop their careers, covering travel expenses to its […]
The latest issue of our research magazine Binaire focuses on the highly topical subject of “AI Services for Business and Science”. Artificial Intelligence is no […]
On 24 June, people with ideas can learn how to start a tech business. L3S is a partner of the event, which takes place at […]
