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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
AiLab (Artificial Intelligence Laboratory) in their mission to build global Artificial Intelligence
awareness and continuing to provide AI education for the wider community. 

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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. 

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2nd place in Explorer Challenge

2nd place in Explorer Challenge

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

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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 here

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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.

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Australia falling behind in intelligence race

New analysis shows Australia is losing the global race in artificial intelligence and will miss out on future jobs without major new investment to secure its position as a leading destination for AI research and development.

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Embrace tech changes to drive future

AI, robotics and other forms of smart automation have potential to deliver great economic benefits but also displace workers in jobs vulnerable to technological change. 

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Australia keeps failing to see the opportunity of AI

Malignant. Benign. If a picture tells a thousand words, these are the two jostling foremost in a patient’s mind when a radiologist scans their body for a better image of that suspicious lump or mass.But there is so much more a picture can tell us about cancer, particularly if we consider the possibilities of artificial intelligence.

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Lockheed Martin Scholarship recipients announced

Congratulations to Clint Gamlin and Jordan Yeomans who have been awarded Lockheed Martin Scholarships.

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