Latest news

AI technology creates new maps to predict high value copper and other mineral deposits

Award winning research with deep neural network AI analysis has lead to new interpretive maps revealing undiscovered mineral deposits deep underground in remote South Australia. Find out how AIML's DeepSightX team is changing the way mineral deposits are found.

[Read more about AI technology creates new maps to predict high value copper and other mineral deposits]

Making Machines that can Generalise with Dr Rafa Felix Alves

Rafael Felix Alves

Dr Rafa Felix Alves, a post-doctoral researcher at AIML, introduces the idea of "zero-shot learning" - a machine learning technique that allows computers to identify novel concepts that it has never seen.

[Read more about Making Machines that can Generalise with Dr Rafa Felix Alves]

Building Confidence in Cancer Diagnosis

Gustavo Pic

Early diagnosis is the first step in successful cancer treatment and medical imaging has become intrinsic to the diagnostic process. Professor Gustavo Carneiro’s research team has been using AI to boost diagnostic screening for potentially deadly bowel and rectal cancer. 

[Read more about Building Confidence in Cancer Diagnosis]

AI at work: Join us in tackling the work, health and safety ethics of artificial intelligence

While we are all pivoting, innovating and e-volving during Covid19, perhaps you have noticed some of the news stories highlighting how Artificial Intelligence (AI) can trip up some businesses and government bodies, and worried about how you can keep up with the innovation game without similarly falling over.

[Read more about AI at work: Join us in tackling the work, health and safety ethics of artificial intelligence]

LBT Innovations Disrupting the Pathology Market with AI

Adelaide based LBT Innovations is using AI developed in partnership with researchers from the Australian Institute for Machine Learning to automatically screen culture plates with high accuracy and speed.

[Read more about LBT Innovations Disrupting the Pathology Market with AI]

How two international students found PhD opportunities at the Australian Institute for Machine Learning

Rob Vis

Doing a PhD overseas is an exciting prospect, especially if the destination is The Australian Institute of Machine Learning in Adelaide! Two researchers at AIML share their experience as international PhD students.

[Read more about How two international students found PhD opportunities at the Australian Institute for Machine Learning ]

Building Trust Through Q&A

Damien Teney

Autonomous systems are becoming an everyday part of more and more diverse industries. It is important that the people working with them find them trustworthy and reliable, so as to have confidence in the outcomes.

[Read more about Building Trust Through Q&A]

Why future journalists, biologists and farmers need more maths: Q&A with Professor Anton van den Hengel

It’s the time of year when high school and university students are having to lock in their subjects for 2021 and beyond. Particularly for those looking down the barrel of year 12, there’s a temptation to choose subjects that might reliably deliver a high final mark. But is that the best idea? We asked Professor Anton van den Hengel, Director, Australian Institute for Machine Learning.

[Read more about Why future journalists, biologists and farmers need more maths: Q&A with Professor Anton van den Hengel]

AI to Examine Links Between Traumatic Brain Injury and Parkinson Disease

Mark Jenkinson

Congratulations to Professor Mark Jenkinson who has been named a Chief Investigator on the $1.9 million grant from the Federal Government’s Medical Research Future Fund (MRFF) for research into the links between Traumatic Brain Injury (TBI) and the development of neurodegenerative diseases, such as Parkinson's and Alzheimer's.

[Read more about AI to Examine Links Between Traumatic Brain Injury and Parkinson Disease]

Objectively Mapping the Future

Image of Kejie Li

Equipping robots with similar navigational skills has been a research challenge for some time. PhD student Kejie Li has been working towards this leap through object-oriented SLAM, which enables robots to recognise objects in context.

[Read more about Objectively Mapping the Future]