Griffith Research Online
https://research-repository.griffith.edu.au
The data connection - challenges
at the frontiers of Artificial
Intelligence research
Author
Blumenstein, Michael
Published
2010
Conference Title
QUESTnet 2010
Copyright Statement
Copyright remains with the author 2010. This is the author-manuscript version of this paper. It is posted
here with permission of the copyright owner for your personal use only. No further distribution permitted.
For information about this conference please refer to the conference’s website or contact the author.
Downloaded from
http://hdl.handle.net/10072/39124
Link to published version
https://www.questnet.edu.au/display/qnc2010/Home
The data connection - challenges at the frontiers of Artificial Intelligence research
Professor Michael Blumenstein
Dean (Research) Science, Environment, Engineering & Technology Griffith University
The quest to develop artificially intelligent machines that exhibit the behaviour of their
biological counterparts has yielded decades of inspired investigation. Recently, a number of
significant outcomes have been proffered in the domain of "Artificial Intelligence" research,
however despite tremendous progress in the field, a number of challenges still remain.
These include the inherent difficulties in replicating the biological complexities of the human
brain, but also relate to the practical problems of having rapid and convenient access to realworld data, the ability to effectively manipulate process and classify unknown records, as
well as the efficient management of large quantities of categorised information. This
presentation explores the groundbreaking developments in the areas of computer vision,
automated pattern recognition and artificial intelligence in the context of real-world problems
that are underpinned by the need to apply large volumes of accurate data for training and
processing.
A number of applications are presented including research into intelligent on-line water
quality monitoring technology to ensure sustainable, safe supplies of freshwater across largescale networks, in addition to the development of automatic systems for monitoring the
activities of visitors at our beaches and coastal zones, as well as technologies for preventing
the deterioration and collapse of bridges, and finally software that can be used for the early
diagnosis and treatment of such brain disorders as Parkinson's disease. Further discussion is
dedicated to the future data and resource requirements of artificial intelligence research,
implications of the National Broadband Network roll-out, and finally possible directions for
attaining the goal of conscious machines.