Meet the members of the section
Artificial Intelligence (AI)
The Artificial Intelligence (AI) section performs foundational research in artificial intelligence, machine learning, natural language processing, large language models, computer vision, medical imaging, statistics, and geometry. The section is physically hosted in the Observatory in the botanical garden of Copenhagen and in DIKU Vermundsgade.
The research focus of the AI section includes methods to automatically process, understand and generate text using statistical models and machine learning with applications including automatic fact-checking, machine translation, question answering, and visually-grounded language learning.
We perform research in computer vision (including fine-grained classification, self-supervised learning, multimodal AI for misinformation detection, and 2D/3D generative models), medical image analysis and modeling (including large-scale observational studies, multimodal brain data analysis, and domain adaptation), and statistics of complex geometric data (shape modeling, phylogenetic inference, and geometric statistics).
We are linked to the Pioneer Center for Artificial Intelligence and the SCIENCE AI centre at the UCPH.
Centres
Research groups
Research projects
- PHAIR (Pharmacovigilance by Al Real-time Analyzes)
- ELIAS (European Lighthouse of AI for Sustainability)
- STROKE (AI-Driven Acute Stroke Detection)
- White Matter (AI-Based Brain Abnormality Detection in the Wild)
- Visipedia (Capturing and Sharing Visual Expertise)
- MorphAI: Data Science and Generative Models of Morphology
- DIGIFABA: Decoding faba bean yield stability: From in-field image data to mechanistic models
Labs
We host multiple world-class research projects on AI, ML, NLP, medical imaging, statistics, and geometry. The section anchors the Pioneer Center for Artificial Intelligence to DIKU. The collaboration with the Pioneer Center creates an excellent research environment, in the Observatory in Copenhagen Botanical Garden and at Vermundsgade. We have strong collaborations with other Danish research institutions, companies, and internationally. Researchers in the section have hosted major conferences in the later years and in the future, including IPMI 2021 and ECCV 2026.
The section teaches courses on machine learning and deep neural networks, natural language processing and large language models, vision and image processing, and data science.