News

Looking inside a Wound(vue)!

Dr Zygmunt Szpak spoke to Scope TV about his work with LBT Innovations to create Woundvue.  

[Read more about Looking inside a Wound(vue)!]

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. 

[Read more about Congrats to Google PhD Fellowship Awardee ]

Multidisciplinary team DeepSightX a winning combination in Explorer Challenge

2nd place in Explorer Challenge

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]

Post Estimation Challenge winners!

TJ Pic

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 Post Estimation Challenge winners!]

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

[Read more about Best Paper Finalist at CVPR 2019 Workshop ]

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
AiLab (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

A team from the University of Adelaide’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 ]

2nd place in Explorer Challenge

2nd place in Explorer Challenge

Congratulations to our team, DeepSightX, for placing 2nd in the Oz Minerals Explorer Challenge. 

[Read more about 2nd place in Explorer Challenge]

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 here

[Read more about Explorer Challenge winners announced Friday 28 June ]

Solving Tomorrow’s Defence Issues Now

Australia has a proud history of scientific endeavour and is recognised as a leader in fields from engineering and computer science to physics, space science, materials science and molecular biology.

[Read more about Solving Tomorrow’s Defence Issues Now]

RSS News Feed