News: machine learning

Technology to transform vineyard management

Helping grapegrowers optimise their irrigation water use will be one of the first outcomes of a $5 million digital technologies project supporting on-farm decision making for winegrape production.

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2nd place in VATEX Captioning Challenge

Certificate

Congratulations to visiting student Shizhe Chen (Renmin University of China) who took out 2nd place in the VATEX Captioning Challenge at ICCV 2019!

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Three ASX-listed small caps that could create useful disruption

LBT Innovations has been listed as one of three Australian companies creating 'useful disruption'. 

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Autonomous vehicle paper achieves high Altmetric score

Professor Anton van den Hengel

The article, How Might Autonomous Vehicles Impact the City? The Case of Commuting to Central Adelaide, has achieved an Altmetric Attention Score of almost 700! 

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The role of AI in health

Image of doctor with tablet

Professor Anton van den Hengel spoke with The Advertiser about the role of artificial intelligence and machine learning in health.

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AI helps make MRI scans more accurate

Dr Gabriel Maicas spoke with The Advertiser about his ground breaking research that uses artificial intelligence to assess MRI scans for greater accuracy.

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Team 'Artificially Intelligent' win at Govhack 2019

Team Artificially Intelligent

Team 'Artificially Intelligent' have taken out the top award at Govhack 2019 in the Digital Culture category.

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World's top 100 for Computer Science at Uni of Adelaide

Computer science students at the 成人大片 are now studying at one of the world鈥檚 top 100 universities in their field.

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Dr Gabriel Maicas and team find success with Medical Image Analysis journal

Dr Gabriel Maicas and a team which includes Professors Ian Reid andhave successfully had their paper featured in esteemed medical journal Medical Image Analysis

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1st place at Volkswagen Logistics Innovation Day

Associate Professor Javen Shi and his team (which includes PhD student Mahdi Kazemi Moghaddam) have been awarded the Golden Prize (1st place) at the Logistics Innovation Day in Shanghai for their work in demonstrating how artificial intelligence can improve vehicle manufacturing. 

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