digital transformation
Unlocking up to 70 per cent faster mine planning cycles and millions in additional project value is now within reach for operations that combine centralised data systems, virtual twins and advanced optimisation engines.
AI and automation might reshape the future of mining safety, but Cam Stevens argues the real risk is leaving safety professionals out of the conversation.
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.
China quietly built the world’s most powerful critical minerals supply chains while other nations - including Australia - dozed through a geopolitical shift that now threatens economic security, trade independence, and defence readiness.
For years, exploration teams have wrestled with data chaos in the field.
The future of mineral exploration may hinge less on drill rigs and more on the quality of the data flowing from them.
In the drive to improve energy efficiency, recovery, and metallurgical precision, a global engineering company has released a quiet disruptor: a machine-learning-enabled sensor that’s helping mining operations monitor and optimise grind size with new levels of accuracy.
In a sector awash with smart tech, real-time data and emerging AI capabilities, it's easy to overlook the nuts and bolts of data management.
When Laura Tyler took the stage at this year’s AusIMM Underground Operators Conference in Adelaide, she did more than deliver a keynote—she issued a call to action.
