Artificial intelligence & machine learning
Artificial intelligence and machine learning have tremendous potential. Together with our members, we are doing world-class research into the application of artificial intelligence and machine learning for research purposes. We are also exploring the potential in education and ICT facilities.
Pattern recognition for COVID-19
Artificial intelligence can be used to recognise patterns in X-rays and CT scans. SURF has experience in developing AI applications for detecting pneumonia and other lung diseases on X-rays. Currently, we are also committed to detecting COVID-19 patterns.
Research into machine learning
Within the SURF Open Innovation Lab, we are investigating whether machine learning can improve traditional high-performance computing. We are also investigating scalable ways of training neural networks, for example in the area of image recognition.
Self-learning machines hunt for explosions in the universe
The CORTEX consortium of 12 partners from academia, industry and society will make self-learning machines faster, to figure out how massive cosmic explosions work.
How machine learning can improve HPC applications
Scientists apply machine learning techniques to improve traditional mathematical simulations, such as weather forecasting.
SIG AI in Education
This special interest group (SIG) wants to gather and expand knowledge and insights about artificial intelligence. Both practical applications and ethical and social aspects.
Special Interest Group Learning Analytics
Learning analytics concerns the collection, analysis and interpretation of data about students in education. The collected data can be used to improve education.
Sharing and finding open educational resources
SURF is investigating smart techniques, such as full text search and machine learning, that make it easier to share and find open educational resources (OER).
Looking for technology to share and find OER more effectively
13 tips to make metadating easier and reduce the search time for instructors.
Successful use of study data
The Educational Innovation Acceleration Plan with ICT is working on the opportunities that digitisation offers higher education in the Netherlands. In the Study Data Zone, we investigate the preconditions that make the use of study data a success.
Help! The pc is smarter than the teacher!
SURF organises the Daphne Riksen writing award to encourage better writing about technology, innovation and education.
Datasharing policy for research
SURF collaborates in scientific research on networks and security. This may mean that we share data with universities, for example network traffic data. SURF has drawn up a data sharing policy (pdf) for this purpose.
For privacy issues, there is the National Coordination Point Research Data Management.
Do you encounter limitations with your own systems? SURF offers researchers a wide range of services in the field of high performance computing (HPC): tens of thousands of times faster than your PC.
Using study data
More and more education takes place online, allowing us to collect more study data. How do you use this study data in a safe and reliable way to improve education? With learning analytics, study data can be converted into valuable reports for both instructor and student.
Data and server services
As an institution, you can build and manage your own IT infrastructure. But you can also use these functionalities in the cloud. This is more flexible, scalable and cheaper. SURF offers various solutions to take the step to the cloud, from IaaS to cloud storage.