Our ‘Artificial Intelligence Centre’ aims to expand the boundaries of AI research, educate the next generation of AI experts, develop and use AI technologies to increase economic growth and address societal challenges.
A solid e-infrastructure is an essential part of the research of the future, which is becoming increasingly digital. Our researchers work with huge amounts of data that must be stored, calculated, analysed and shared in a secure manner. For this reason, SCIENCE has invested a lot in offering our researchers a world-class research e-Infrastructure.
At SCIENCE, we have several areas that focus on development, operation and consultancy related to the storage, sharing, calculation and analysis of research data. All of this means that our researchers and partners are in the best possible position to work with data.
Data Science Lab offers courses and workshops in e.g. coding, machine learning and statistics. Our researchers and students also receive advice on their data analysis and are involved in both major and minor projects in collaboration with the laboratory.
Our High Performance Computing Centre makes facilities such as ERDA and SIF available for SCIENCE researchers to store, calculate and share research data in a secure manner. The centre also tailors the HPC setup to specific needs.
Cooperation with DeiC
The University of Copenhagen collaborates with the Danish e-Infrastructure Cooperation (DeiC), which coordinates the access of universities to national and international supercomputers. With access to a supercomputer, it is possible to carry out complex calculations of research data.
Among other things, researchers at the University of Copenhagen have access to the Danish Computerome 2.0 supercomputer. Research Support in UCPH IT advises on and provides access to Computerome 2.0.
Hear the experiences of a Computerome 2.0 user
Many SCIENCE researchers have already taken advantage of this opportunity. One of them is Tobias Tandrup, who is a research assistant at the Department of Chemistry.