News: machine learning
Prof Chunhua Shen in Top 5 Researchers for Engineering and Computer Sciences
Congratulations to Professor Chunhua Shen for being listed in the top 5 researchers for Engineering and Computer Sciences as part of The ÐÓ°ÉÖ±²¥n's Lifetime Achievers Leaderboard!
[Read more about Prof Chunhua Shen in Top 5 Researchers for Engineering and Computer Sciences]
Making Machines that can Generalise with Dr Rafa Felix Alves
Dr Rafa Felix Alves, a post-doctoral researcher at AIML, introduces the idea of "zero-shot learning" - a machine learning technique that allows computers to identify novel concepts that it has never seen.
[Read more about Making Machines that can Generalise with Dr Rafa Felix Alves]
Long term potential of Machine Learning in ÐÓ°ÉÖ±²¥
AIML features in an article with one of our partners, , on the long term potential of machine learning and the exciting opportunities that it creates for ÐÓ°ÉÖ±²¥.
[Read more about Long term potential of Machine Learning in ÐÓ°ÉÖ±²¥]
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 ÐÓ°ÉÖ±²¥ of Adelaide can find more details here.
[Read more about Applications for Industry PhD Scholarship now open ]
Getting junk out of space
A crack ÐÓ°ÉÖ±²¥n 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 ÐÓ°ÉÖ±²¥â€™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 ÐÓ°ÉÖ±²¥n Institute for Machine Learning has had six papers accepted to ! Congratulations to all of our researchers involved.
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