EXPLORATION

GoldSpot uses AI to find lithium targets in Quebec

Canadian mineral discovery firm GoldSpot has used Artificial Intelligence to identify lithium-tantalum targets at a Nemiscau Belt project in James Bay, Québec owned by Critical Elements.

GoldSpot uses AI to find lithium targets in Quebec

GoldSpot generated lithium-tantalum, copper-nickel, and gold focuses target on Critical Element's New Block 1-6 and 7 claims using a "Smart approach" of knowledge- and AI data-driven methods.

A total of 19 lithium-tantalum exploration targets were identified, reducing the area of investigation to approximately 16% of the total claim holding

This study hinged on digital extraction from a collection of compiled data, including assessment files, government data and academic studies.

Vincent Dubé-Bourgeois, CEO of GoldSpot Discoveries commented: "I'm thrilled to announce the results of our investigation and analysis of Critical Element's claims sourced from our team's extensive digital extraction of assessment files, government data and academic studies. This dataset provided outcrop/sample description, bedrock geology, geochemical analyses, and geophysical surveys which generated lithium-tantalum, copper-nickel, and gold focused targets, using our geological and machine learning methods. We look forward to working with the Critical Elements exploration team to validate these targets and further advance the claims."

Jean-Sébastien Lavallée, CEO of Critical Elements commented: "We are very pleased with the results of the combined AI targeting and the outcrop detection conducted by GoldSpot. These cutting-edge approaches enabled us to quickly generate several promising targets. These tools are extremely useful to reduce exploration cost and time, in particular the large portfolio of 700 square kilometers owned by Critical Elements."

 

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