At Radboud University, a great variety of AI researchers can provide commentary and analysis on topics in the news. Are you looking for an expert on AI or do you have another media-related question? Meet some of our experts below. Or contact our Radboud University Press Office.
Protecting our privacy with AI
Using big data, experts can train algorithms that predict your location on the basis of photos we post online. But can big data also be used to keep personal data hidden? The latter is Martha Larson's goal.
Towards a human-like computer
How can we make computers that can carry out human tasks? By looking at the algorithms that run in our own brains, Marcel van Gerven says. He develops smart artificial systems for 'brain writing': computers that recognize faces or objects, for example to enable blind people to see again. He also develops systems for 'brain reading': computer that read out images from the brain.
Computers that recognize diseases
Bram van Ginneken, Professor of Medical Image Analysis
Will computers replace medical doctors? It is known that computers are just as able to recognize diseases such as cancer or tuberculosis as doctors. Bram van Ginneken develops self learning software that can identify diseases using pictures.
If you want to contact Bram van Ginneken, please contact Radboudumc Press Office
Control a computer with your brain
If you are not able to walk or talk due to a disease such as ALS, computers can help with a so-called Brain Computer Interface (BCI). Peter Desain develops an innovative technology that enables us to control a computer with our brain. With his Spin-off company MindAffect, he aims to hit the market with his innovation. “With this new technology, ALS patients will be able to communicate once more.”
Ethics in AI
When will computers become more intelligent than us? How should we deal with the fast developments in AI and the applications in society, such as computers in jurisdiction and computers that do medical diagnoses? Pim Haselagers pleads for more focus on artificial ethics, in stead of artificial intelligence.
Smarter AI in big data
How do we make artificial intelligence systems smarter than they are? Big steps need still to be taken, according to Tom Heskes. He uses probability calculus and statistics to develop and better understand novel data science tools. He is specifically interested in causal discovery: how to disentangle cause and effect from "big data". He also recognizes the importance of more investments in AI research in Europe.