Join us for our 2020 wrap up with AIML Business Development Manager Dr Paul Dalby reporting on the achievements this year and AIML Co-Director Prof Simon Lucey presenting the vision for 2021.
You might not have heard of Pittsburgh, USA, but AIML Co-Director Professor Simon Lucey says it has a lot in common with his new home city of Adelaide.
Congratulations to Professor Chunhua Shen for being listed in the top 5 researchers for Engineering and Computer Sciences as part of The Australian's Lifetime Achievers Leaderboard!
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.
With investment in AI becoming increasingly important, AIML was delighted to host a discussion between Senator Rex Patrick and Adept students from the University of Adelaide studying computer science about the benefits AI can bring to our economy and our country more broadly.
Last week AIML researchers attended CVPR 2020. AIML had 23 publications accepted in the conference this year, an increase of more than 50% from previous years. These numbers are comparable to those of institutions orders of magnitude larger, and an incredible result when considering the relative age of AIML.
AIML is excited to announce a new scholarship program in partnership with the Defence Artificial Intelligence Centre to support two full time PhDs who are commencing/undertaking research in into computer vision, machine learning and deep learning.