Collaboration between artificial intelligence and Earth science communities for mutual benefit

A recent analysis concluded that Australia is at risk of losing its world-leading advantage in critical and rare minerals if it doesn’t sufficiently leverage artificial intelligence (AI). A large international coalition of Earth scientists and AI researchers is now advocating for stronger bidirectional development and impact between AI and Earth science in a new comment … Read more…

Spatio-temporal copper prospectivity in the American Cordillera predicted by positive-unlabeled machine learning

Porphyry copper deposits contain the majority of the world’s discovered mineable reserves of copper. While these deposits are known to form in magmatic arcs along subduction zones, the precise contributions of different factors in the subducting and overriding plates to this process are not well constrained, making predictive prospectivity mapping difficult. Empirical machine learning-based approaches … Read more…

Exploration in the House: AI, new data, new exploration futures

EXPLORATION IN THE HOUSE – NEW DATA, NEW EXPLORATION FUTURES The half-day event on Friday 10 May will feature a keynote presentation on the applications of artificial intelligence-driven data processing in the search for critical minerals. Join Mining, Exploration and Geoscience for Exploration in the House – New data, new exploration futures at the NSW … Read more…

The Conversation: Travelling through deep time to find copper for a clean energy future

More than 100 countries, including the United States and members of the European Union, have committed to net-zero carbon emissions by 2050. The world is going to need a lot of metal, particularly copper. Recently, the International Energy Agency sounded the warning bell on the global supply of copper as the most widely used metal in renewable … Read more…