GoldSpot Discoveries Corp has announced that its team of expert geologists and data scientists has been engaged by Vale Canada Ltd to use machine learning to identify new drilling targets at its Coleman nickel mine, part of its flagship base metals operations located in Sudbury, Ontario.

“With the tremendous amount of data Vale has acquired over multiple decades of mining at Coleman, Vale has commissioned GoldSpot to examine the entire database and look for previously unrecognised data trends which may point to unknown areas of mineralisation at depth. Deep mine exploration and drilling can be costly. By employing GoldSpot to deploy machine learning into near-mine mineral exploration, Vale will work to minimise exploration risk.”

GoldSpot will use its geoscience and machine science expertise to clean, unify and analyse exploration data from Vale’s Coleman Mine and produce 3D targets for the exploration program. GoldSpot will also deliver new geophysical products produced through the reprocessing of the borehole EM for sulphide detection and new simplified lithological interpretations and models.

“Vale is one of the world’s largest nickel producers and the Coleman Mine is a major operation in Ontario. To be part of the digital transformation of one of the world’s leading diversified miners is an incredible opportunity for our company. At GoldSpot, we are excited to put our technology and team into action on a copper, nickel and precious metals deposit,” said Denis Laviolette, CEO and President of GoldSpot.