Every hour of downtime costs a mine tens of thousands of dollars, and Professor Amir Gandomi told the NSW Resources Regulator’s Mechanical Engineering Safety Seminar how artificial intelligence is now cutting those losses by predicting failures and optimising operations in seconds.
In an industry where every unscheduled shutdown translates into lost revenue, wasted resources and mounting frustration, one company is making a compelling case for using artificial intelligence to turn maintenance from a cost centre into a strategic advantage.
Explorers operating in Australia's greenfield and undercover regions face a common challenge: how to make confident decisions when the surface reveals so little.
At a time when the mining industry is grappling with increasingly complex ore bodies, evolving digital toolsets, and growing demand for speed and precision, one standout case study is helping reshape how we think about resource modelling.
At the 2025 AusIMM Mineral Resource Estimation Conference in Perth, geologist Jordan McDivitt delivered a sharp, technically grounded presentation on how machine learning and structural geology can work hand in hand to model complexity in orogenic gold systems.
