mining /aiml/ en AI technology creates new maps to predict high value copper and other mineral deposits /aiml/news/list/2020/09/22/ai-technology-creates-new-maps-to-predict-high-value-copper-and-other-mineral <p><span>Award winning research with&nbsp;deep neural network AI analysis&nbsp;has lead to new interpretive maps revealing undiscovered mineral&nbsp;deposits deep underground in remote South Australia. Find out how AIML's&nbsp;DeepSightX team is changing the way mineral deposits are found.</span></p> September 22 2020 Thomas Martin Walker /aiml/news/list/2020/09/22/ai-technology-creates-new-maps-to-predict-high-value-copper-and-other-mineral Professor Chen is CI on successful funding bid /aiml/news/list/2019/08/28/professor-chen-is-ci-on-successful-funding-bid <p>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.<br> <br> 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.&nbsp;</p> August 28 2019 Emily Holyoak /aiml/news/list/2019/08/28/professor-chen-is-ci-on-successful-funding-bid Multidisciplinary team DeepSightX a winning combination in Explorer Challenge /aiml/news/list/2019/07/16/multidisciplinary-team-deepsightx-a-winning-combination-in-explorer-challenge <p>Associate Professor Javen Shi discusses the work carried out by the DeepSightX team&nbsp;to eventually place 2nd in the Explorer Challenge.&nbsp;</p> July 16 2019 Emily Holyoak /aiml/news/list/2019/07/16/multidisciplinary-team-deepsightx-a-winning-combination-in-explorer-challenge AIML team predicts mineral deposits using AI /aiml/news/list/2019/07/01/aiml-team-predicts-mineral-deposits-using-ai <p>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.&nbsp;</p> July 01 2019 Emily Holyoak /aiml/news/list/2019/07/01/aiml-team-predicts-mineral-deposits-using-ai 2nd place in Explorer Challenge /aiml/news/list/2019/06/28/2nd-place-in-explorer-challenge <p>Congratulations to our team, DeepSightX, for placing 2nd in the <a href="https://unearthed.solutions/news/oz-minerals-uses-open-data-and-1-million-incentive-unearth-hidden-treasure">Oz Minerals Explorer Challenge.</a>&nbsp;</p> June 28 2019 Emily Holyoak /aiml/news/list/2019/06/28/2nd-place-in-explorer-challenge Explorer Challenge winners announced Friday 28 June /aiml/news/list/2019/06/24/explorer-challenge-winners-announced-friday-28-june <p>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 <a href="https://unearthed.solutions/explorer-winners">here</a>.&nbsp;</p> June 24 2019 Emily Holyoak /aiml/news/list/2019/06/24/explorer-challenge-winners-announced-friday-28-june