Xprize Rainforest Finalists

Researchers from IML Oldenburg, together with doctoral students from the Applied Artificial Intelligence (AAI) department at the University of Oldenburg, have reached the finals of XPRIZE Rainforest, a global competition that promotes innovative technologies for researching, assessing and conserving biodiversity in tropical rainforests. As part of the Brazilian Team, they Read more…

IML at the UMAP conference 2024

Sara-Jane Bittner, from the Interactive Machine Learning department, presented a demo paper at the international conference on User Modeling, Adaptation and Personalization (ACM UMAP 2024). UMAP is an annually held premier conference for researchers and working on systems that adapt to individual users, to groups of users, and that collect, Read more…

Expert talk about Artificial Intelligence in healthcare at German Medical Association

Artificial Intelligence will increasingly change our healthcare system. To prepare doctors for this change and involve them in the process, the German Medical Association (Bundesärztekammer) will develop a positioning on the Development of Artificial Intelligence in Healthcare (“Entwicklung der Künstlichen Intelligenz in der Gesundheitsversorgung”). The expert talks serve to accumulate Read more…

IML at the AVI Conference 2024

Abdulrahman Mohamed, from the Interactive Machine Learning department, in collaboration with colleagues from the Cognitive Assistants department, presented a short paper at the 17th International Conference on Advanced Visual Interfaces (AVI 2024). AVI is a biennial conference, rooted in Italy, which draws Human-Computer Interaction (HCI) researchers from all over the Read more…

Research Grant from Accenture

This research aims to investigate ChatGPT’s natural language inference (NLI) capabilities in healthcare contexts, focusing on tasks like understanding clinical trial information and evidence-based health fact-checking. We will explore various Chain-of-Thought methods to improve ChatGPT’s reasoning abilities and integrate dynamic context analysis techniques for better inference accuracy. Our approach involves Read more…