Joost Batenburg is a mathematician and computer scientist who works to build bridges to other disciplines. He hopes to bring intelligent software to fields where it can make a difference. Conversely, he also seeks connections to the disciplines that are needed to make AI a success.

We are very honoured to announce that on the 1st July Bart Custers has been appointed Professor of Law and Data Science and has thus become the first Professor in the new 'stimuleringsprogramma' SAILS.

How can AI shape future wearables for population dynamics? This question made the underlying theme of the 8th Wearables in Practice Symposium, which took place on the 14th of October in Leiden.

Training a robot in a real-life environment is more or less impossible. Computer scientist and psychologist Roy de Kleijn switched to training in a simulated, virtual one instead. ‘You do have a reality gap, but the more precisely you train the robot, the better it is in practice.’ His inspiration: the human brain.

He’s a fast and animated speaker, which is only logical because Gerard van Westen is driving an express train. His destination? A virtual human, consisting of algorithms that predict what an administered substance will do in the body. The train is already a long way down the line and the pharmaceutical industry is also on board.

Our AI researchers work closely with other institutions such as Delft University of Technology and Erasmus University.

Electrical inner ear prostheses like Cochlear Implants (CIs) help deaf and severely hearing-impaired persons to regain many of their communication abilities. The performance of CI in social environments is, however, not optimal. The new "Machine learning To Enhance teMPoral cOding foR cochleAr impLants“ (TEMPORAL) project, in which Thomas Bäck and Anna Kononova from the Leiden Institute for Advanced Computer Science (LIACS) are involved, will examine how to improve their performance.

Our language is adapted to the context in which we humans communicate. But computers ‘think’ differently. What would a language be like whose structure was optimally adjusted for use by humans and machines? Tessa Verhoef is trying to find the answer.

Some examples of AI-research done at Leiden.