CAIR - the Centre for Artificial Intelligence Research

 

Information Technology is a term that encompasses all forms of technology used to create and manipulate information in its various forms. The primary goal of the Centre for Artificial Intelligence Research (CAIR) is to provide strong leadership and a stimulating environment for the development of these different forms of technology in New Zealand. However, our desire is that our research will not be ivory-towered. Since AUT is the only university of technology in this country, this emphasis is an important one; our research must not only be at the leading edge but must also be practically useful.

Given the widely ranging possibilities of research in this area, the Centre has decided to stay focused in its foundation years. It has, in consultation with the School of Computing and Mathematical Sciences and KEDRI, decided to focus on three main areas of research and development work, namely human language technology, speech technology, and robotics.

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  • Ho, H.; Min, K.; Yeap, W. (Springer, AUT University; 2004)
    This paper describes a knowledge-poor anaphora resolution approach based on a shallow meaning representation of sentences. The structure afforded in such a representation provides immediate identification of local domains ...
  • Jefferies, M.; Cosgrove, M.; Baker, J.; Yeap, W. (Springer, AUT University; 2004)
    In Simultaneous Localisation and Mapping (SLAM) the correspondence problem, specifically detecting cycles, is one of the most difficult challenges for an autonomous mobile robot. In this paper we show how significant cycles ...
  • Jefferies, M.; Yeap, W.; Cosgrove, M.; Baker, J. (Springer, AUT University; 2005)
    In simultaneous localisation and mapping (SLAM) the correspondence problem, specifically detecting cycles, is one of the most difficult challenges for an autonomous mobile robot. In this paper we show how significant cycles ...
  • Schmidt, J.; Wong, C.; Yeap, W. (Springer, AUT University; 2007)
    When animals (including humans) first explore a new environment, what they remember is fragmentary knowledge about the places visited. Yet, they have to use such fragmentary knowledge to find their way home. Humans naturally ...
  • Yeap, W.; Reedy, P.; Min, K.; Ho, H. (IEEE, AUT University; 2005)
    We implemented SmartINFO, an experimental system for the visualization of the meaning of texts. SmartINFO consists of 4 modules: a universal grammar engine (UGE), an anaphora engine, a concept engine and a visualization ...

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