Yahoo Finance

VAL-D’OR, Quebec, Feb. 27, 2025 (GLOBE NEWSWIRE) -- Cartier Resources Inc. (″Cartier″ or the ″Company″) (TSXV: ECR; FSE:6CA) is pleased to announce it has launched the Artificial Intelligence (″AI″) Targeting Program on the Cadillac Project, in the Val-d’Or mining camp (Quebec). The program incorporates VRIFY’s cutting-edge AI-Assisted Mineral Discovery Platform.

VRIFY uses advanced AI and proprietary algorithms to generate a prospectivity score — known as a VRIFY Prospectivity Score (VPS) — that identifies areas for potential of gold mineralization. The VPS and models generated through the AI-Assisted Mineral Discovery Platform incorporate probabilistic values, which help to determine the accuracy and reliability of the predictions.

Philippe Cloutier, President & CEO, stated: ″We are very excited to partner with the VRIFY team. With their deep industry and geoscience expertise, we’re confident that AI is the technological transformation we need to increase mineral discovery rates. With so much data from the Cadillac project, we will be able to leverage the power of AI to identify patterns and insights within the dataset to inform our exploration plans.″ Adding, ″The transparency and outputs speak to a bold new crowd of investors that seek to be part of our next big discovery.″

″Our AI-Assisted Mineral Discovery Platform was born from VRIFY’s vision to change how mineral exploration is done, combining deep industry expertise with cutting-edge technology that has yet to be fully leveraged in mineral exploration. Our proprietary algorithms and deep technical bench strength have allowed us to create the first platform of its kind that utilizes datasets to generate high-value targets over areas of demonstrated endowment like Cartier’s Cadillac project,″ commented Steve de Jong, CEO of VRIFY.

Synergies between VRIFY and Cartier teams

VRIFY’s AI-Assisted Mineral Discovery Platform uses the industry’s leading, proprietary dataset that integrates samples (grab and channels) from property-wide prospecting, geochemistry (soil and bark), various local and regional geophysical surveys, as well as a robust drill hole database over the 25,000-ha land package. This will provide Cartier with three unprecedented benefits:

Accelerating mineral discovery process

• Combining unbiased data-driven AI algorithms and mineral system–specific models with knowledge-driven criteria to identify new priority exploration targets with high potential for gold mineralization, while also expanding known gold zones.
  

Derisking overall exploration efforts