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AIML confirmed as 2nd in the world for computer vision research

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.

Why Australia needs a national AI strategy

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.

A day in the life of a machine learning engineer

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. 

Meet Shin Fang Ch’ng, a robotic vision PhD student with her sights set on leadership

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.