 Synergy in research to improve the intelligence of computational systems Research in Intelligent Systems improves the intelligence of computational systems and processes, including both artificial and natural computation. Strengths include: Bayesian Reasoning, Complex Systems, Computer Vision, Intelligent Adaptive Diagrams and Documents, Constraint Programming, Data Mining, Diagram Interpretation and Understanding, Machine Learning, Natural Computation, Natural Language Processing, Neural Networks, Optimisation, Reasoning Under Uncertainty, Robotics and User Modelling. Research in Intelligent Systems draws its members from and works closely with several other research groups within the Faculty of Information Technology. Download the CRIS flyer (pdf, 5.45mb)
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