mining technology
When Barry McKay walked into Ashton Coal and saw machines cutting stone instead of coal, he knew something had to change.
As mining companies increasingly operate from hundreds, sometimes thousands, of kilometres away from the pit or plant, one challenge has remained constant – how to give remote teams the same operational context, detail, and situational awareness they’d have if they were standing on site.
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.
What do Formula 1 racing and tailings storage have in common? More than you’d think - especially when AI joins the engineering crew.
Sensor-based sorting is no longer just a niche preconcentration step - it’s fast becoming a critical pillar of intelligent gold processing.
The future of mineral exploration may hinge less on drill rigs and more on the quality of the data flowing from them.
AI can transform mining operations, but as Dr Penny Stewart warns, its real value will only be unlocked if the technology is transparent, tested and trusted.
In the high-stakes world of tailings storage facility (TSF) construction, ensuring conformance to design and safety standards is a non-negotiable part of the job.
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.
