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IPWEA NSW Division Annual Conference 2005


          WHAT IS COMING DOWN THE ROAD IN COMPUTING AND
                     INFORMATION TECHNOLOGY
                    Dr Peter Cheeseman, cheesemanp@cse.unsw.edu.au
    Program Leader, Symbolic Machine Learning and Knowledge Acquisition Program, NICTA
               (National Information and Communication Technology, Australia)

Paper Summary

The exponential growth of computer power and communications bandwidth is well known, but
what does this mean for the future? While some computer intensive applications will continue to
improve, real functionality of computer systems in many cases is declining! This is because
growing expectations of what computers can do for us exceeds the ability of programmers to
anticipate all the possible interactions. The result is that systems often do not do what we want or
expect them to do! Artificial Intelligence, where the computer really understands what the user
wants, is the only possible solution, but once this happens, computers will intellectually leave us
in the dust. No full paper provided.


Author Biography
                             Peter Cheeseman received his Ph.D. in 1979, in the area of AI planning
                             and learning. He then taught AI and Advanced programming at the
                             University of Technology, Sydney. IN 1981 he moved to SRI International
                             (USA), where he did full-time research into robotics, AI planning and
                             reasoning under uncertainty. This later research led to the development of
                             methods for representing and reasoning with spatial information that still
                             forms the basis for most robotic navigation systems. In 1985 he moved to
                             NASA Ames research center, where he conducted research into automatic
                             unsupervised clustering, leading to the development of the widely used
                             AUTOCLASS system. While at NASA he led research into basic questions
                             in computational complexity. This research led to the discovery of phase
                             transitions in problem solvability and corresponding computational cost.
                             This widely cited research pioneered further research into phase transitions
                             in computation. His most recent research at NASA Ames has been in the
                             area of applying Bayesian methods for combining information from multiple
                             images to form super-resolved models. Initially, this was applied to 2-D
                             super-resolved images, but was later extended to super=resolved 3-D
                             models.

                             In November 2004, Peter moved back to Sydney to head the Symbolic
                             Machine Learning and Knowledge Acquisition (SMLKA) program. The
                             research in this program is aimed at developing a general purpose AI
                             system that is able to accumulate knowledge and use it to solve new
                             problems.

                             Postal Address: NICTA, Locked Bag 6016, University of
                             NSW, Kensington, NSW 1466
                             Tel: 02 9385 6356, Fax: 02 9385 7942, Mobile: 0419956136
                             E-mail: cheesemanp@cse.unsw.edu.au
                             Website: www.nicta.com.au




                                                Page 1

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Program Leader, Symbolic Machine Learning and Knowledge ...

  • 1. IPWEA NSW Division Annual Conference 2005 WHAT IS COMING DOWN THE ROAD IN COMPUTING AND INFORMATION TECHNOLOGY Dr Peter Cheeseman, cheesemanp@cse.unsw.edu.au Program Leader, Symbolic Machine Learning and Knowledge Acquisition Program, NICTA (National Information and Communication Technology, Australia) Paper Summary The exponential growth of computer power and communications bandwidth is well known, but what does this mean for the future? While some computer intensive applications will continue to improve, real functionality of computer systems in many cases is declining! This is because growing expectations of what computers can do for us exceeds the ability of programmers to anticipate all the possible interactions. The result is that systems often do not do what we want or expect them to do! Artificial Intelligence, where the computer really understands what the user wants, is the only possible solution, but once this happens, computers will intellectually leave us in the dust. No full paper provided. Author Biography Peter Cheeseman received his Ph.D. in 1979, in the area of AI planning and learning. He then taught AI and Advanced programming at the University of Technology, Sydney. IN 1981 he moved to SRI International (USA), where he did full-time research into robotics, AI planning and reasoning under uncertainty. This later research led to the development of methods for representing and reasoning with spatial information that still forms the basis for most robotic navigation systems. In 1985 he moved to NASA Ames research center, where he conducted research into automatic unsupervised clustering, leading to the development of the widely used AUTOCLASS system. While at NASA he led research into basic questions in computational complexity. This research led to the discovery of phase transitions in problem solvability and corresponding computational cost. This widely cited research pioneered further research into phase transitions in computation. His most recent research at NASA Ames has been in the area of applying Bayesian methods for combining information from multiple images to form super-resolved models. Initially, this was applied to 2-D super-resolved images, but was later extended to super=resolved 3-D models. In November 2004, Peter moved back to Sydney to head the Symbolic Machine Learning and Knowledge Acquisition (SMLKA) program. The research in this program is aimed at developing a general purpose AI system that is able to accumulate knowledge and use it to solve new problems. Postal Address: NICTA, Locked Bag 6016, University of NSW, Kensington, NSW 1466 Tel: 02 9385 6356, Fax: 02 9385 7942, Mobile: 0419956136 E-mail: cheesemanp@cse.unsw.edu.au Website: www.nicta.com.au Page 1