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News: Media Release

Media Release: $13.8 million research win for ³ÉÈË´óƬ

Posted on Nov 28 2018 by Ian Will

³ÉÈË´óƬ researchers have been awarded more than $13.8 million for new research to benefit our environment, health, industry and Indigenous and urban communities, and to advance knowledge of the workings of our Universe.

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Media Release: Funding world-leading research

Posted on Nov 27 2018 by Ian Will

Australians will be more confident the hundreds of millions of dollars invested in university research each year will be in the national interest with the introduction of a new test.

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Media Release: Defence Innovation Partnership to boost defence research in South Australia

Posted on Nov 23 2018 by Ian Will

South Australian researchers have secured nearly $695,000 in funding from the Defence Innovation Partnership to collaborate on cutting-edge defence research projects.

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Media Release: New vineyard technology to be trialled in Riverland

Posted on Nov 6 2018 by Ian Will

A State Government grant will launch a digital precision control system pilot program for grape growers in the Riverland aiming to assist growers to optimise production and support overall vineyard efficiency, profitability and sustainability. Read the full media release here .

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Media Release: Lockheed Martin partners with Uni of Adelaide on machine learning

Posted on Oct 9 2018 by Ian Will

Technology and innovation company Lockheed Martin Australia has become the first Foundation Partner with the ³ÉÈË´óƬ’s new Australian Institute for Machine Learning.

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Media Release: Lenovo DCG partners with AIML to provide machine learning expertise to ANZ businesses

Posted on Sep 27 2018 by Ian Will

Partnership to provide consulting services to businesses in Australia and New Zealand that are looking to invest in projects in machine learning and deep learning.

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Media Release: Tetris-like program could speed breast cancer detection

Posted on Sep 6 2018 by Ian Will

Researchers from the ³ÉÈË´óƬ’s Australian Institute for Machine Learning (AIML) are developing a fully-automated medical image analysis program to detect breast tumours. The program uses a unique style to focus on the affected area. 

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