AI in mining
In open-pit mining, some of the biggest productivity gains can come not from buying more trucks, but from loading the ones you have with greater precision.
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.
In an era where emerging technologies promise to transform mining operations, from AI-driven optimisation to fully automated systems, the real challenge is not finding the next breakthrough.
As mineral exploration enters an era defined by data complexity and digital transformation, one of the biggest hurdles geoscientists face is not a lack of information, but too much of it.
In the mining world, where uptime is profit and safety is paramount, innovations that reduce risk while boosting operational efficiency are prized.
As ore grades decline and sustainability pressures rise, mining operations are being forced to find new ways to optimise resource extraction.
In the race to squeeze more value from every tonne of ore, the mining sector is increasingly looking to data-rich, high-resolution technologies that can keep pace with operational demands.
When Laércio Bertossi took to the stage at AusIMM’s 2025 Mineral Resource Estimation Conference in Perth, he didn’t unveil a new machine learning model or simulation breakthrough.
In 2017, Carrapateena's Site Operations Centre (SOC) was nothing more than a demountable container in the desert.
In the high-stakes world of underground mining, where rotating drill steels and mobile equipment operate in confined, often unpredictable environments, safety remains paramount.
