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Professor Chen is CI on successful funding bid
The Australian Government today announced $3.7 million funding for the new Australian Research Council Industrial Transformation Training Centre for Integrated Operations for Complex Resources.
Funded with another $2 million plus $6.8 million in-kind support from research and industry organisations, the $12.5 million centre will deliver enabling tools and train the next generation of scientists and engineers in advanced sensors, data analytics and artificial intelligence to increase value in mining and processing of complex resources.
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Looking inside a Wound(vue)!
Dr spoke to Scope TV about his work with to create Woundvue.
Congrats to Google PhD Fellowship Awardee
Congratulations to Zhi Tian, supervised by Professor Chunhua Shen, who has been awarded a Google PhD Fellowship for 2019/20. This prestigious award is given for outstanding work during the PhD and supplements the student's scholarship as well as providing research mentoring from within Google.
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Multidisciplinary team DeepSightX a winning combination in Explorer Challenge
Associate Professor Javen Shi discusses the work carried out by the DeepSightX team to eventually place 2nd in the Explorer Challenge.
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Pose Estimation Challenge winners!
Associate Professor Tat-Jun Chin and Dr Bo Chen have won a global space challenge run by the European Space Agency, beating teams from a range of prominent universities.
Best Paper Finalist at CVPR 2019 Workshop
Congratulations to Associate Professor Tat-Jun Chin and Samya Bagchi. Their paper, Star Tracking using an Event Camera, was acknowledged as a Best Paper Award Finalist at the 2nd International Workshop on Event-based Vision and Smart Cameras at CVPR 2019. Read about their work here.
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AiLab & AIML partnership - bringing industry and academia together for the good of AI
In an exciting new partnership, the Australian Institute for Machine Learning are supporting
(Artificial Intelligence Laboratory) in their mission to build global Artificial Intelligence
awareness and continuing to provide AI education for the wider community.
AIML team predicts mineral deposits using AI
A team from the 成人大片鈥檚 Australian Institute for Machine Learning (AIML) has come second in the OZ Minerals Explorer Challenge. The DeepSightX team鈥檚 analysis of mineral data from the Mount Woods project area predicts where new deposits of elements and minerals could lie.
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Explorer Challenge winners announced Friday 28 June
Good luck to our team, DeepSightX, participants in the OZ Minerals Explorer Challenge. Announcement of the winning entries will be live streamed from 10.30am .
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