Past events

Can a machine (based on AI) perceive, understand, learn and in the end reproduce concepts about art?

Data science is strongly associated with hi-tech companies like Google and Facebook. Yet our doctors are increasingly able to collect large amounts of data about us too.  Find out more about this data, what we can do with it and what it will mean for how we prescribe drugs.

Can a machine (based on AI) perceive, understand, learn and in the end reproduce concepts about art? Jerry Spanakis, assistant professor of machine learning and data mining, will tell you.

Jules Harings will demonstrate how natural materials like silks are a source of inspiration to a techno-economic, circular model for packaging plastics, based on natural resources.

AARON is an artificial intelligence system which creates paintings. Its paintings have been exhibited in galleries worldwide, and private collectors have paid considerable sums for AARON’s art.

Why should we care about the future? Prof. dr. Marc Davidson will explain why in this lecture.

Hearing does not take place in the ear. Incoming sound waves are filtered, processed and interpreted by the brain. Dr. Michelle Moerel wil explain this process during her lecture.

Jules Harings will demonstrate how natural materials like silks are a source of inspiration to a techno-economic, circular model for packaging plastics, based on natural resources.

“Creating value: bridging science and health policy”