Description: The topic of Big Data presents many challenges but also new opportunities. The recent success of deep learning is an example of the latter, where big amounts of training data enable large artificial neural networks to achieve super-human performance on tasks such as object detection and classification. Forward-looking companies and organisations around the world are currently massively investing in this domain. In this seminar we will look at some relevant basic algorithmic concepts but also report on experiences and plans of our research team when navigating through a time that some people call the “Big Bang of Artificial Intelligence and Machine Learning”.
About the presenter: Stephan Chalup (Ph.D., Dipl.-Math.) is an Associate Professor at the University of Newcastle in Australia where he is leading the Interdisciplinary Machine Learning Research Group and the Newcastle Robotics Lab. He studied mathematics with neuroscience at the University of Heidelberg and received his Ph.D. in Computing Science from the Machine Learning Research Centre at Queensland University of Technology (QUT) in Brisbane in 2002. Over the past fifteen years he published over 90 research articles in areas such as artificial neural networks, machine learning and autonomous intelligent agents. He is on the editorial boards of several journals and has presented research seminars, for example, at Harbin Institute of Technology in China (HIT), at Karlsruhe Institute of Technology (KIT) in Germany, and at The Massachusetts Institute of Technology (MIT) in the USA.
When: 5:30pm midday AEST (Sydney)