Our interests centre on sub-symbolic approaches to machine intelligence. On the theoretical side we are interested in statistical learning theory, support vector machines, neural networks and the design of learning algorithms. On the applied side we are interested in the applications of these methods to medical decision support, bioinformatics and machine vision datasets. We are part of the Advanced Computing Research Centre which has a number of other researchers interested in different aspects of artificial intelligence. There is also an Artificial Intelligence group in our department with an interest in machine intelligence from a high-level symbolic perspective.