In recent years Artificial Intelligence has become more mathematical. New uses are being found for mathematics in every area of AI and where existing mathematics is not up to the task, new kinds of mathematics are being invented. This degree programme aims to reflect these developments.
This degree will introduce students to AI and to the kind of mathematics required to
formalise and understand AI techniques. It will produce students well equipped to
develop robust AI programs, to extend AI techniques to new problems, and to apply
AI within mathematics. They will have a deep and precise understanding of the scope
and limitations of AI. These students will be in demand in both academic and
industrial research and development.
The aim of motion tracking is to detect and track moving objects through a sequence of images. Motion tracking is not only useful for monitoring activity in public places, but is becoming a key ingredient for further analysis of video imagery. For instance, information about the location and identity of objects at different points in time (as summarised by the image on the right) is the basis of detecting unusual object movements (e.g. someone being mugged at an ATM) or coordinated activities (e.g. strategic plays in a football game). More ...
For further details of course content and structure, see degree programme specification.
Artificial Intelligence at Edinburgh was the first and is the largest European centre for the study of the subject and is one of the leading international AI research centres. Mathematics has been studied at the University of Edinburgh from its very foundation in 1583 and the School of Mathematics is regarded as one of the best in the UK. You will be taught by people who are working at the forefront of their field.
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