The first artificial intelligence-based finding of a greenfield molybdenum deposit has been disclosed by clean energy metals exploration Earth AI.
The deposit was discovered close to Armidale, Australia's New South Wales. It is free, unlicensed terrain that is thought to be uninhabitable.
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However, Earth AI's founder and CEO, Roman Teslyuk, and his group had a suspicion. They therefore made the decision to develop and methodically examine a number of hypotheses. They tested a single hypothesis in each hole they bored.
They were able to locate high-grade ore after eight months, four holes drilled in the high Australian plateau during the winter, and numerous pieces of equipment lost to snow.
We dug four holes in the Northern Territory before this. Which leads us toAs a result, our success rate in locating economic-grade mineralization is now one in eight, a significant increase from the industry average of one in 200, Teslyuk told Mining.com.
MDC: Could you elaborate on the specifics of the discovery's process?
Tereza: Using local geology and geophysical data, our Mineral Targeting Platform is a geological deep learning solution that excels at locating mineral systems. It learns on almost all of the continent's known mineral possibilities and makes predictions about new systems based on this information.
In this instance, we had a "juicy target" on property that had been abandoned four times by majors and junior explorers who spent a lot of money on exploration but were unable to locate any mineral reserves.
However, we licensed and committed.
