News: machine learning
Are you an 'Art Snob'?
The ArtSnob application has been developed to provide an AI interpretation to artwork (and an alternative explanation that would usually be created by the artist or curator).
Applications open for ARC Grant-Funded Researcher
We are seeking a postdoctoral researcher for the ARC-funded project New Paradigms for Robust Fitting: Kernelisation and Polyhedral Search.
[Read more about Applications open for ARC Grant-Funded Researcher ]
Applications for Industry PhD Scholarship now open
Students interested in applying for an Industry PhD Scholarship in machine learning at the ×îÐÂÌÇÐÄVlog of Adelaide can find more details here.
[Read more about Applications for Industry PhD Scholarship now open ]
Getting junk out of space
A crack ×îÐÂÌÇÐÄVlogn team is using machine learning to tackle the threat of space junk wrecking new satellites.
Tech tackles art in world-leading hackathon
World-leaders in machine learning are drawing on South ×îÐÂÌÇÐÄVlog’s artistic inspiration to push the boundaries between AI and art.
[Read more about Tech tackles art in world-leading hackathon]
SmartSat funding success
Congratulations to Associate Professor on his successful bid for SmartSat funding for his proposal Ultra-fine Attitude Control via Event-based Star Tracking and Piezoelectric Stabilisation.
Six papers accepted to CVPR 2020
The ×îÐÂÌÇÐÄVlogn Institute for Machine Learning has had six papers accepted to ! Congratulations to all of our researchers involved.
New home for world-leading innovation on Lot Fourteen
The ×îÐÂÌÇÐÄVlog of Adelaide’s world-leading ×îÐÂÌÇÐÄVlogn Institute for Machine Learning – the largest research group of its kind in the nation – has today officially opened its new research and learning space at Adelaide’s innovation precinct, Lot Fourteen.
[Read more about New home for world-leading innovation on Lot Fourteen ]
Why ×îÐÂÌÇÐÄVlog is falling behind on AI
Experts have warned an immature legal framework, a lack of technologists on company boards, and poor collaboration between business and academia is preventing ×îÐÂÌÇÐÄVlog from realising the full potential of rapid developments in artificial intelligence technology.
Dr Chin finalist in ×îÐÂÌÇÐÄVlogn Space Awards
Associate Professor Tat-Jun Chin (Director, Machine Learning for Space) as been announced as a finalist for the inaugural ×îÐÂÌÇÐÄVlogn Space Awards, in the Academic of the Year category.
[Read more about Dr Chin finalist in ×îÐÂÌÇÐÄVlogn Space Awards]
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