Mentioned in 1 AI use cases across 1 industries
Think of a pile of student essays. Instead of teachers grading every essay one by one with a long rubric, the system just keeps asking: ‘Which of these two is better?’ After lots of these quick comparisons, the software works out a reliable score for every piece of work. It’s like ranking players in a tournament, but for writing and exams.
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.