AI for Life: podcast 6: Self-learning algorithms
How can we make algorithms more resilient to changes in context?
Many smart algorithms get completely lost when change occurs within the context in which the algorithm has been trained. This often leads to errors that may be logical but come across as very stupid to the unsuspecting user. So the question is: how can we make algorithms more resilient to changes in context? In this episode, we talk about “self-learning algorithms” with experts:
– Marcel van Gerven, Professor of AI at Donders Institute of Radboud University and Radboudumc.
– Elsbeth van Dam, researcher at Noldus Information Technology and PhD candidate at Radboud University.
– And Lucas Noldus, founder of Noldus Information Technologies and currently also a professor at Radboud University.