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Medical Machine Learning for Preventing Blindness in Indigenous Communities
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.
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Retirement of Gentle Intellectual Giant
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.
AI to Help Transform Breast Cancer Screening
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!
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The Unparalleled Presence of AIML at CVPR 2020
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.
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Poppy@AIML Scholarship: Innovation in Artificial Intelligence for Defence
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.
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Dr Paul Dalby to Represent Australia in the Global Partnership on Artificial Intelligence
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).
Long term potential of Machine Learning in Australia
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.
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Professor van den Hengel on adapting to working from home
Professor Anton van den Hengel recently got involved in Adept Adelaide's #isolationinspiration and gave his thoughts on adapting to working from home.
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Using artificial intelligence to beat cancer
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.
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Submissions open for special issue of Remote Sensing
Submissions are now open for a special issue of Remote Sensing on “Deep Learning for Remote Sensing Data”.
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