News: mining

AI technology creates new maps to predict high value copper and other mineral deposits

Posted on Sep 22 2020 by Thomas Martin Walker

Award winning research with deep neural network AI analysis has lead to new interpretive maps revealing undiscovered mineral deposits deep underground in remote South Australia. Find out how AIML's DeepSightX team is changing the way mineral deposits are found.

Professor Chen is CI on successful funding bid

Posted on Aug 28 2019 by Emily Holyoak

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.

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.

AIML team predicts mineral deposits using AI

Posted on Jul 1 2019 by Emily Holyoak

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.

2nd place in Explorer Challenge

Posted on Jun 28 2019 by Emily Holyoak

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

Explorer Challenge winners announced Friday 28 June

Posted on Jun 24 2019 by Emily Holyoak

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.