Friday 7th August, 2015
9:10am to 10:00am
I will examine predictive technologies in the light of the history of technology and its prediction. No matter how shiny and new, a new technology is still a technology, and there are general patterns that seem to recur. We can learn from those patterns if we pay attention to them.
In particular I will look at the challenge of predicting the impact of new technologies, talk about how they evolve, and the role that modularity, standards and interoperability play in their evolution.
I will talk more specifically about some of the particular challenges of making APIs and interfaces for predictive technologies such as machine learning, and speculate on the prospects for making machine learning a service, and more of a mature engineering discipline. In passing I will briefly demonstrate some recent machine learning work from NICTA.
Leader of the ML group of NICTA
Professor Bob Williamson is the leader of the Machine Learning group at NICTA.
He received a Bachelor of Electrical Engineering from the Queensland University of Technology in 1984 and a Masters of Engineering Science (Electrical Engineering) from the University of Queensland in 1986. In 1990 he obtained a PhD in Electrical Engineering from the University of Queensland.
He joined the Australian National University as a postdoctoral fellow in the Department of Systems Engineering in 1990 and held a series of appointments before becoming a professor and head of the Computer Sciences Laboratory, Research School of Information Sciences and Engineering at the Australian National University.
From 2003 to early 2006 Professor Williamson was the Director of NICTA’s Canberra Research Laboratory. In 2006 he was appointed as NICTA’s Scientific Director. Since 2011 he has been leading the Machine Learning group.
He is a fellow of the Australian Academy of Sciences, and is co-leading a project on Technology for Australia’s Future.
His scientific interests include signal processing and machine learning.
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