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Congrats to Google PhD Fellowship Awardee

Posted on Jul 23 2019 by Emily Holyoak

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

Posted on Jul 16 2019 by Emily Holyoak

Associate Professor Javen Shi discusses the work carried out by the DeepSightX team to eventually place 2nd in the Explorer Challenge. 

[Read more about Multidisciplinary team DeepSightX a winning combination in Explorer Challenge]

Pose Estimation Challenge winners!

Posted on Jul 16 2019 by Emily Holyoak

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. 

[Read more about Pose Estimation Challenge winners!]

Best Paper Finalist at CVPR 2019 Workshop

Posted on Jul 9 2019 by Emily Holyoak

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

Posted on Jul 8 2019 by Emily Holyoak

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. 

[Read more about AiLab & AIML partnership - bringing industry and academia together for the good of AI ]

AIML team predicts mineral deposits using AI

Posted on Jul 1 2019 by Emily Holyoak

A team from the ³ÉÈË´óƬ’s Australian Institute for Machine Learning (AIML) has come second in the OZ Minerals Explorer Challenge. The DeepSightX team’s analysis of mineral data from the Mount Woods project area predicts where new deposits of elements and minerals could lie. 

[Read more about AIML team predicts mineral deposits using AI ]