News: Machine Learning

A day in the life of a machine learning engineer

Grant and Sam

Sam works with Principal Machine Learning Engineer Dr Grant Osbourne and other colleagues at AIML to deliver technology solutions for partner industries, including businesses in the transport, health and medical, agriculture and technology sectors. 

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How machine learning can drive improved housing for better health in vulnerable Australians

Image of Emma Baker

Machine Learning is at the centre of a new research push to improve health through tackling poor housing in Australia’s most vulnerable populations. 

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$20M to Establish Centre for Augmented Reasoning at AIML

Benefits to South Australia

Australia’s position as a world leader in artificial intelligence (AI) and machine learning will be further boosted thanks to $20 million announced in the Federal Budget towards a new national Centre for Augmented Reasoning, to be based at the University of Adelaide.

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Prof Chunhua Shen in Top 5 Researchers for Engineering and Computer Sciences

Chunhua Pic

Congratulations to Professor Chunhua Shen for being listed in the top 5 researchers for Engineering and Computer Sciences as part of The Australian's Lifetime Achievers Leaderboard!

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Making Machines that can Generalise with Dr Rafa Felix Alves

Rafael 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.

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Long term potential of Machine Learning in Australia

AIML features in an article with one of our partners, AiLab, on the long term potential of machine learning and the exciting opportunities that it creates for Australia.

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AiThority Interview with Professor Anton van den Hengel

AIML Director Professor Anton van den Hengel was recently interview by AiThority, you can read the full interview here

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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). 

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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.

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Applications for Industry PhD Scholarship now open

Students interested in applying for an Industry PhD Scholarship in machine learning at the University of Adelaide can find more details here

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