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.
Dr Paul Dalby, Business Development Manger at the Australian Institute for Machine Learning, is one of five Australians selected to represent the nation in the Global Partnership on Artificial Intelligence (GPAI).
AIML features in an article with one of our partners, AiLab, on the long term potential of machine learning and the exciting opportunities that it creates for Australia.
Professor Anton van den Hengel recently got involved in Adept Adelaide's #isolationinspiration and gave his thoughts on adapting to working from home.
AIML Director Professor Anton van den Hengel was recently interview by AiThority, you can read the full interview here.
Researchers proving how machine learning can help detect dangerous polyps.The South Australian researchers are finding new ways to better pinpoint suspicious polyps using artificial intelligence in the fight against deadly bowel cancer.
Submissions are now open for a special issue of Remote Sensing on “Deep Learning for Remote Sensing Data”.
AIML Medical Machine Learning experts Dr Johan Verjans and Dr Luke Okaden-Rayner have authored a book, Artificial Intelligence in Medical Imaging, which is now free to download here.