The Human brain is still one of the most powerful and at the same time most energy efficient computers. Artificial neural networks (ANN) are inspired by their biological counterparts and the workings of biological nervous systems. ANNs were among the most popular machine learning algorithms in the 1980-90s. However, after 2000 other algorithms came to be regarded as more accurate and practical. In 2012 ANNs came back with a big bang: A new form of biologically inspired ANNs, deep convolutional neural networks, showed surprisingly good performances on image classification and object detection tasks, far superior to all other methods available. Since then deep networks are breaking records in many application domains from object detection for autonomous vehicles, to playing the game of Go and skin health diagnostics. Deep networks are currently revolutionising machine learning in academia and industry. They can be regarded as the most disruptive technology in any industry that involves machine learning, artificial intelligence, pattern recognition, data mining or control. This seminar aims at providing an overview of ANNs – old and new – with a special view towards how visualisations could help to explain how they work.
About the speaker: 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 completed his Ph.D. in Computing Science at the Machine Learning Research Centre at Queensland University of Technology (QUT) in 2002. Stephan Chalup has published 100 research articles and is on the editorial boards of several journals. He is member of the Priority Research Centre CARMA.
This talk is part of the CARMA Special Semester on Computation and Visualisation.
How to participate in this seminar:
1. Book your nearest ACE facility;
2. Notify Jeff Hogan at the University of Newcastle (jeff.hogan@newcastle.edu.au) to notify you will be participating.
No access to an ACE facility? Contact Maaike Wienk to arrange a temporary Visimeet licence for remote access (limited number of licences available – first come first serve)