For some, it’s a source of boundless possibility; for others, fear and anxiety. Whichever view you lean towards, however, machine learning is a reality. All over the world, technology is performing complex tasks, ‘learning’ from the outcomes, and improving its future performance accordingly.
There are undoubted benefits. Machine learning is already speeding disease diagnosis and treatment. It’s accelerating identification of viable new crops. And, through autonomous vehicles, it promises to drastically reduce road accidents and fatalities.
But it also presents challenges, including for our wellbeing. Research indicates it may be more important to retain a human touch in some areas than many realise.
In this mind-expanding presentation, leading University of Adelaide researchers, including from the Australian Institute for Machine Learning, will explore every facet of this brave new world—from advances to opportunities to critical concerns.
Professor Anton Van Den Hengel directs the University of Adelaide's Australian Institute for Machine Learning. He has over 250 publications, nine commercialised patents, and is a winner of a 2017 SA Science Excellence Award for Research Collaboration.
Dr Fiona Kerr is Industry Professor, Neural and Systems Complexity at the University of Adelaide. She collaborates across multiple faculties on the neurophysiology of direct human interaction and the impacts of technologisation, to help build quality human-technology partnerships.
Professor Ian Reid is a professor of computer science at the University of Adelaide, and Deputy Director of the ARC Centre of Excellence in Robotic Vision. He is also a former professor of engineering science at the University of Oxford, where his group invented, and was the world's leading facility for, visual SLAM, a key technology component in self-driving vehicles.
Associate Professor Jeremy Woolley directs the University of Adelaide's Centre for Automotive Safety Research. He has over 20 years experience in the field, and is Immediate Past President of the Australian Institute of Traffic Planning and Management (SA).