The Machine Intelligence Laboratory (formerly known as
the Speech, Vision and Robotics group) was founded by the late
Professor Frank Fallside in the early 1970's, when the main interests
were in speech processing and control applications. In the mid 1980's,
the laboratory developed a strong interest in the theory and
application of neural networks and this led to a widening of the
laboratory's research to include vision and robotics. Medical imaging
followed in the mid 1990's. Today, the guiding principle of all
research in the laboratory is that a well-designed engineering system
must be based on a sound mathematical model. In this regard, neural
networks represent just one of a wide range of applicable
techniques. Others include stochastic processes such as hidden Markov
models, Bayesian inference, invariant transformations in 3D geometry,
computational geometry, Wiener and Kalman filtering, classification
and regression trees, and genetic algorithms.
In addition to supporting a large post-graduate research activity, the
Machine Intelligence Laboratory is also responsible for a
Masters course in Advanced Computer Science
and undergraduate teaching in the areas of computing and pattern
processing. The Masters course is a one year course run jointly with
the Computer Laboratory. It has an annual enrolment of around 20
students and its aim is to teach both the theory and practice of
speech and language processing systems. Topics covered include speech
analysis, recognition and synthesis; syntax and parsing; semantics and
discourse analysis; and perception and psycholinguistics. The course
consists of two terms of taught lectures and practicals followed by a
three month thesis project. It operates with the support of
EPSRC and
it has close links with UK industry via an industrial advisory board.
At the undergraduate level, the laboratory is involved in the teaching
of information engineering and computing generally. It is responsible
for a 3rd year paper covering computing, artificial intelligence and
pattern recognition, and it runs specialist modules in the 4th year on
medical imaging, 3d computer graphics, statistical pattern processing,
speech processing, computer vision and robotics.
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