Machine Learning Symposium

Event Name Machine Learning Symposium
Start Date 19 Aug 2018 9:00 am
End Date 19 Aug 2018 5:30 pm
Duration 8 hours and 30 minutes

The capability to develop computer programs that learn through experience, using techniques such as deep neural networks, has generated significant interest across a wide range of fields, including medicine, biology, engineering, astronomy, economics, and law.

The Machine Learning Symposium is a one-day applied Artificial Intelligence event to hear how researchers are applying machine learning techniques in their research. The day will include a broad range of participants, that includes both:

  • machine learning experts and practitioners
  • researchers and data scientists with an interest in applying ML techniques

The Machine Learning Symposium will be applications-focused, and cover applications of ML to topics such as natural language processing, human-computer interaction, computer vision and robotics, medical imaging, financial and economics modelling and big data processing, as well as the state-of-the-art computing infrastructure that underpins these efforts.

To be held on Monday 19th March 2018, the symposium will be opened by our keynote speaker Professor Geoffrey Webb, data scientist and 2017 recipient of the Eureka Prize for excellence in data science research, and co-convened by Professor Simon See of Nanyang Technological University and Director of the NVIDIA AI Technology Centre.

Call for Data Presentations

Australian researchers are generating more data than ever before through improvements in instrumentation, compute, storage and workflow automation. We are calling for five-minute presentations for researchers to present a dataset of untapped potential or a research problem that may gain value from the application of machine learning or artificial intelligence. If you would like to nominate for a five-minute data presentation, please email, providing your details and a short abstract.


  • Language & Text
  • Medical imaging
  • Health
  • Robotics & Computer vision
  • Art & Design
  • Economics
  • High Performance Computing
  • See the draft program for further details.


National Centre for Synchrotron Science
800 Blackburn Road
Clayton VIC 3168


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