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Algorithmic audit for safer medical AI systems
An artificial intelligence (AI) model trained to detect hip fractures from x-rays can outperform highly trained clinical specialists, but is also vulnerable to unexpected and potentially harmful errors, highlighting the need for ‘algorithmic audits’ of medical AI imaging systems, researchers say.
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AI for space research delivers back-to-back success in global satellite challenge
South Australia’s leadership in space innovation has been recognised, with an AIML-led team securing first place in a global AI competition organised by the European Space Agency.
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Tech and defence experts call to build ‘AI Australia’
Australia must commit to building its sovereign AI research and innovation capability, or risk being left behind as other countries race to pursue their ambitious AI strategies.
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Meet the amazing women training AI machines
For International Day of Women and Girls in Science, meet some of the women at AIML who are building great new things and leading the way in cutting-edge machine learning technology.
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Machine learning students say cheers with AI beers
How do you build a neural network that can learn how to make beer? We'll show you.
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AI + industry collaborations bring award-winning success
South Australia’s capacity to lead innovation in AI and machine learning has been recognised at the 2021 SA Science and Innovation Excellence Awards, with an AIML team winning the category of Excellence in Science and Industry Collaboration.
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New centre boosts AIML’s advanced machine learning research and innovation
Australia's advanced machine learning capability has received a boost, with a new $20m research and innovation initiative now underway at AIML.
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‘Set and forget’ machine learning delivers NASA prize-winning space innovation
If you send a robot to the Moon, you’ve got to be sure it can do its job without constant human supervision.
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AIML PhD student awarded 2021 Google PhD Fellowship
AIML PhD student Xinlong Wang has been awarded the 2021 Google PhD Fellowship in Machine Perception, Speech Technology and Computer Vision.
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PhD students to advance exciting possibilities in machine learning and healthcare
Two new PhD students have recently joined the Australian Institute for Machine Learning (AIML) at the ³ÉÈË´óƬ to develop new ways to review patient scans and other types of clinical information.
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