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Professor van den Hengel on adapting to working from home

Professor Anton van den Hengel recently got involved in Adept Adelaide's #isolationinspiration and gave his thoughts on adapting to working from home. 

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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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Using artificial intelligence to beat cancer

Researchers proving how machine learning can help detect dangerous polyps.The South Australian researchers are finding new ways to better pinpoint suspicious polyps using artificial intelligence in the fight against deadly bowel cancer.

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Submissions open for special issue of Remote Sensing

Submissions are now open for a special issue of Remote Sensing on “Deep Learning for Remote Sensing Data”.

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Artificial Intelligence in Medical Imaging

AIML Medical Machine Learning experts Dr Johan Verjans and Dr Luke Okaden-Rayner have authored a book, Artificial Intelligence in Medical Imaging, which is now free to download 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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Dr Johan Verjans leading SAHMRI research into COVID-19

AIML Deputy Director of Medical Machine Learning and RAH cardiologist Dr Johan Verjans is asking South Australians to complete a brief survey on the prevention and spread of the coronavirus. The results will help shape a public health intervention.

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Making music with Voog the singing keyboard

Jamie Sherrah

Dr Jamie Sherrah has created an AI keyboard that creates its own lyrics as a way to demonstrate machine learning’s capacities outside the usual sectors.

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