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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.
Associate Professor Tat-Jun Chin, AIML's Director for Machine Learning for Space, is one the of the first appointments to oversee the $20 million investment to develop next generation space technologies through the SmartSat Collaborative Research Centre.
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.
Professor Gustavo Carneiro has written an article on the history of how Machine Learning has been applied to the health sector to develop Computer Aided Diagnosis (CAD) systems over the years.
Congratulations to Dr Johan Verjans, Deputy Director of Medical Machine Learning at AIML, who has been named a Chief Investigator for the Medical Research Future Fund (MRFF) grant project looking at preventing Diabetic Retinopathy among Aboriginal Australians.
Joyful, knowledgeable, kind and humble may not typically be words used to describe a Professor of Pure Mathematics but it best describes retiring AIML Professor Wojciech Chojnacki.
Congratulations to AIML’s Professor Gustavo Carneiro who is part of the MRFF grant awarded to St Vincent’s Institute of Medical Research, allocating $2,260,100 in funding to research breast cancer screening technologies using AI!
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).