Maple Gold Mines (TSXV: MGM) announced that, with the support of Computational Geosciences, it is planning to run a new and expanded artificial intelligence study for targeting high-grade gold at the Douay project in Quebec.
According to Maple Gold, the study will use all available digital datasets within a 128-square kilometre terrain centred on the resource area in order to generate gold prospectivity maps and provide additional target areas. This information will be used on a drilling campaign scheduled for later this year.
Computational Geosciences will employ its VNet segmentation deep learning algorithm to target high-grade gold
In a press release, the Vancouver-based miner explained that AI studies involve the application of automated mathematical models or intelligent algorithms to data-rich environments in order to allow recognition of subtle features or patterns in the data that are not always evident to the human eye.
“CGI will be employing their proprietary VNet segmentation deep learning algorithm to help the company’s targeting efforts,” the media brief states. “The company believes that the quality of its databases, together with CGI’s rigorous methodology and built-in interaction with the company’s geologists at all stages of the process, will result in a high-quality product that will allow for the definition of additional new drill targets.”
The Douay gold project is located 2.5 hours north of Val d’Or and 1.25 hours north of Amos. It covers an area of more than 390 square kilometres along the Casa Berardi Deformation Zone within the prolific Abitibi Greenstone Belt.