AI identifies QC exploration targets

Canadian exploration services company Windfall Geotek, which applies artificial intelligence (AI) technology in its work, was able to identify high-priority gold targets at Quebec Precious Metals’ Sakami project in the James Bay area
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In the early 2000s gold mineralisation was discovered at surface near Sakami Lake

Staff reporter

As part of a C$125,000 (US$92,200) contract, Windfall Geotek used its proprietary computer-aided resources detection system (CARDS) platform and data provided by QPM.

This included radiometric surveys (25m and 12.5m resolution), ground magnetic-VLF data (12.5m resolution), and gold assay values from 160 drill holes, as well as from 1,032 grab sample values.

President and CEO of Windfall Geotek Michel Fontaine said: "The AI approach combines geological expertise, all available terrane and geophysical data and uses proven algorithms to predict the location of highly ranked exploration targets. It validates the target areas where QPM is currently performing a 25,000 m drilling campaign."

Sakami, which forms QPM's flagship project, covers an area of 140 square kilometres and lies about 90 kilometres north-west of Newmont's Éléonore gold mine.

Exploration work within and surrounding the current project area has taken place since the late 1950s.

QPM's goal is to rapidly explore the gold project to advance it to the mineral resource estimate stage.

Windfall Geotek owns 568,181 shares of QPM. To maximise shareholder return, Windfall Geotek said it participated in projects where its CARDS AI software platform had identified high potential targets. This is in the form of revenue from services plus financial assets acquisition.