Mentioned in 2 AI use cases across 1 industries
Think of this as a ‘self-optimizing factory brain’ for mines: it watches every step of crushing, grinding, and separating ore, learns what settings give the best results, and then continuously tweaks the knobs to squeeze out more metal with less waste, energy, and downtime.
This is like putting a very smart autopilot into rock crushers and mineral processing lines. The AI continuously watches how the equipment is running and how the ore behaves, then automatically tweaks settings to get more metal out of the same rock while using less energy and wearing out parts more slowly.