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Researchers from AIML have 28 papers accepted for presentation at the virtual CVPR (Computer Vision and Pattern Recognition) conference coming up in June 2021. This further solidifies AIML's ranking of 2nd in the world for computer vision research published over the last 5 years.
Australia could once again have a globally competitive manufacturing sector by using automation driven by artificial intelligence (AI), but it’s going to require strategic action to make it happen, according to a new paper released today by experts at University of Adelaide.
Use Zoom? You already know what image matting is. PhD student Yutong Dai wants to make it work better
Have you ever experienced a video call where your hair disappears into greenery in the background, or your hands become invisible when you wave them around to emphasise a point. Through her PhD project at AIML, Yutong Dai wants to make these issues a thing of the past.
How astrophysics and machine learning took Michele Sasdelli from Germany to England to NASA to Adelaide
Keeping track of space debris is difficult. Read how Dr Michele (Mike) Sasdelli is using machine learning to model the movement of space junk and other objects in Earth's orbit.
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.
Shin Fang is a PhD candidate at the Australian Institute for Machine Learning (AIML), University of Adelaide. She sees herself leading a research team in one of the world’s big technology companies and has built strong momentum to ensure success.
A surgeon, an engineer and a PhD student walk into a virtual classroom. This is Robotic Vision Summer School
Sixteen graduate students and industry professionals attended the South Australian node of the 2021 Robotic Vision Summer School, held at the Australian Institute for Machine Learning (AIML) at the University of Adelaide over January 31 to February 5.
AIML scientists were part of a winning team in NASA’s global space robotics competition. Here’s why they got involved
A group from The University of Adelaide was recently named as one of only 22 global teams to qualify for the Stage 2 competition round of the Space Robotics Challenge run by NASA in partnership with Space Center Houston.
The Australian Institute for Machine Learning had the pleasure of hosting the Australian National Youth Science Forum attendees for presentations and demonstrations from the researchers in earlier in January.
AIML Co-Director Professor Simon Lucey shares his firsthand perspective on the benefits of collaboration within research and with businesses and industry more broadly.