Research

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.

Website
datalab.science.ku.dk

Contact
Head of Laboratory (Statistics), Associate Professor Bo Markussen
Head of Laboratory (Computer Science), Associate Professor Erik Dam
datalab@science.ku.dk

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.

Website
dcsc.ku.dk

Contact
Hans Henrik Happe
happe@science.ku.dk 

Pioneer Center for AI

The Pioneer Centre for AI focuses on fundamental research, and within an interdisciplinary framework, develops platforms, methods, and practices addressing society’s greatest challenges.

Website
aicentre.dk

Contact
Professor and Director Serge Belongie
s.belongie@di.ku.dk

AI4EU

The European AI on Demand Platform brings together the AI community while promoting European values. The platform is a facilitator of knowledge transfer from research to business application. KU is the national contact point for AI4EU.

Website
ai4europe.eu

Contact
Manager Anders Pall Skött
ai@ku.dk

BARC

Basic Algorithms Research Copenhagen (BARC) is a centre of excellence in basic algorithms research funded by the VILLUM Foundation. Using the power of mathematics it strives to create fundamental breakthroughs in algorithmic thinking.

Website
barc.ku.dk

Contact
Professor Mikkel Thorup
barc@di.ku.dk

The Image Section

The Image Section at the Department of Computer Science is performing research in foundations and applications of image analysis and computer vision.

Website
diku.dk/image

Contact
Associate Professor and Head of Section, Kenny Erleben
kenny@di.ku.dk

The Machine Learning Section

The Machine Learning Section at the Department of Computer Science is performing research in foundations and applications of machine learning.

Website
diku.dk/ml

Contact
Professor Christian Igel
igel@di.ku.dk

The NLP Group

The Natural Language Processing Group (NLP Group) at the Department of Computer Science is performing research in processing and understanding of natural language.

Website
diku.dk/nlp

Contact
Associate Professor Isabelle Augenstein
augenstein@di.ku.dk

Copenhagen Causality Lab

Copenhagen Causality Lab (CoCaLa) at the department of Mathematical Sciences is performing research in foundations and applications of graphical models and causal learning.

Website
math.ku.dk/cocala

Contact
Professor Niels Richard Hansen
niels.r.hansen@math.ku.dk

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.

Website
sites.google.com/site/dabaidiku

Contact
Professor Stephen Alstrup
s.alstrup@di.ku.dk

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.

Contact
Klavs Martin Sørensen
kms@food.ku.dk

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.

Website
models.life.ku.dk 

Contact
Professor Rasmus Bro
rb@food.ku.dk

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

Website
di.ku.dk/information-retrieval

Contact
Professor Christina Lioma
c.lioma@di.ku.dk

 

DIREC

DIREC is an international flagship centre for digital research with the aim to expand the capacity within research, innovation and education in digital technologies in Denmark. KU is work package leader for AI with professor Mads Nielsen.

Website
direc.dk

Contact
Professor Mads Nielsen
madsn@di.ku.dk 

ELLIS

The ELLIS Unit Copenhagen is founded by researchers from the University of Copenhagen, the Technical University of Denmark (DTU) and the IT University of Copenhagen (ITU) with the purpose of contributing to fulfilling the European Laboratory for Learning and Intelligent Systems (ELLIS) mission of strengthening basic AI research in Europe and thereby contributing to creating job and economic growth in Europe.

Website
ellis-cph.dk