The AI Centre combines computer science, statistics and a wide range of application areas. Research activities range from state-of-the-art methodological development to interdisciplinary projects and are carried out by affiliated research centres and projects.
Research at the AI Centre is facilitated by the AI Hub, headed by the CEO of the AI Centre. It includes resources and infrastructure for performing AI, e.g. a state-of-the-art GPU cluster for performing deep learning.
Data Science Lab
The Data Science Laboratory (DSL) acts as the entrance for researchers and students to the AI Centre. Being hosted by the Department of Mathematical Sciences and the Department of Computer Science, its overall aim is to enhance the quality of data analyses in research carried out at SCIENCE.
Head of Laboratory (Statistics), Professor Helle Sørensen
Head of Laboratory (Computer Science), Associate Professor Erik Dam
ERDA and HPC
The Electronic Research Data Archive (ERDA) and the High Performance Computing Centre (HPC) is the storage and high performance compute facility run by SCIENCE and hosted by the Niels Bohr Institute. It holds the resources funded by SCIENCE and the SCIENCE digitalization council for performing storage and compute intensive research at SCIENCE.
Hans Henrik Happe
Danish Center for Big Data Analytics Driven Innovation
The AI Centre is affiliated with the Danish Center for Big Data Analytics driven Innovation (DABAI), a partnership funded by Innovation Fund Denmark. It is a collaboration between Danish universities and a number of corporations and public institutions.
Professor Stephen Alstrup
Deep Process Learning
The Deep Process Learning initiative at Department of Food Science (FOOD) is prompted by the rapid increase in volume and complexity of process data from food manufacturing systems. The initiative will strive to be the front-runners in conducting industrially relevant process-AI research, while maintaining the department's decade-long strong collaboration with the industry in process analytics and optimisation.
Klavs Martin Sørensen
Data Analytics Group
The main focus of the Data Analytics Group at Department of Food Science (FOOD) is on using analytical (chemical) instruments such as hyperspectral imaging and nuclear magnetic resonance to measure properties and functionalities of raw materials and food products to optimize and characterize food production and end-quality.
Professor Rasmus Bro
Information Retrieval Lab
The Information Retrieval Lab at Department of Computer Science (DIKU) conducts research in the areas of information retrieval (e.g. search engines) and information extraction. They study and develop tools that provide effective and efficient access to big, hetereogeneous data.
Professor Christina Lioma