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The deposit was found near Armidale, New South Wales, Australia. It is a free, unlicensed land, believed to be barren.
“Prior to this, we drilled four holes in the Northern Territory. This brings us to a one-in-eight success rate at discovering economic grade mineralization, which is a remarkable improvement over the industry standard of one in 200,” Teslyuk told Mining.com.Our Mineral Targeting Platform is a geological deep learning solution that’s really good a finding mineral systems using surrounding geological and geophysical data.
We discovered high-grade molybdenum. The grades we observe are 1.5-2X higher than the world’s leading molybdenum mines. Our AI system is used for the foundation of our exploration, the targeting phase – our models train on millions of geological cases from the entire continent and have learned to identify areas of mineralization, and highlight locations with a high probability of finding a mineralized system. We deploy teams into the field to sample and review the targets.
It is trained on a vast amount of data – 400 million geological cases from across the continent. The fundamental datasets for learning are remote sensing, geophysical and geochemical datasets.Geoscience is a new domain for AI and our AI system is unique in its approach as it thinks like a geologist. The unique aspect lies in how we teach the AI to learn geology. To do this you need to be both a geology and AI expert, a skillset that is incredibly rare.
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