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