Margaux to leverage GoldSpot’s machine learning to further explore Cassiar gold project

In a media statement, Margaux said GoldSpot will carry out its work by leveraging extensive geoscience data that has been collected through the multi-decade exploration and production history of the project. The company will also use its in-house collaborative expertise, machine learning, and other techniques.

“GoldSpot will examine multidisciplinary datasets from geological, geophysical, and geochemical programs, conducted by previous workers and compiled by Margaux’s geologists, to identify geological features including structural and mineralization trends,” the media release explains. “Ultimately, the collaboration with GoldSpot is intended to identify high-quality near-mine and regional gold exploration targets that minimize exploration risk.”

Cassiar is a 60,000-hectare property in northern British Columbia. The project hosts the Taurus bulk-tonnage gold resource (one million ounces gold at 1.43 g/t Au), as well as several past-producing high-grade underground gold mines.

“Margaux continues to work on brownfields targets near Taurus and is exploring the Cassiar property for additional bulk-tonnage gold prospects,” the brief states.