News: DeepSightX

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. 

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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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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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