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Artificial Intelligence Data Evaluations Identify 35 Gold Target Areas on BTU Red Lake Property
Highlights Initial AI data analysis completed on 67 square kilometres of the Dixie H...
About this update from Btu Metals Corp
[{"type":"text","content":"Artificial Intelligence Data Evaluations Identify 35 Gold Target Areas on BTU Red Lake PropertyHighlightsInitial AI data analysis completed on 67 square kilometres of the Dixie Halo property yield 35 new high priority gold target areas that warrant follow-up evaluationProperty covers nearly 200 square kilometres and is largely overburden covered and only sparsely explored in most areas to date. Additional data processing and AI investigations are continuing for the areas not yet completedSite visits are underway on a number of the target areas with one area found to contain previously unreported quartz veins containing disseminated pyrite and minor chalcopyrite, an environment favourable for hosting gold mineralizationOther exploration efforts including till sampling and geophysics are also underwayVANCOUVER, BC / ACCESSWIRE / July 21, 2020 / BTU METALS CORP. (\"BTU\" or the \"Company\") (TSX:V:BTU) today provides an update about the early, positive results received from ongoing Windfall Geotek (\"Windfall\") work using their proprietary ‘CARDS' Artificial Intelligence (\"AI\") system to identify high-grade gold targets. The Company is pursuing both high-grade gold targets and copper-dominant massive sulfide targets on its 200 square kilometre property that shares a 35 kilometre border with Great Bear Resources Ltd (\"Great Bear\"). The property is 25 kilometres southeast of Red Lake, Ontario in an area with excellent access and infrastructure. To date roughly one-third of the property area has been analyzed, from which 35 high priority targets have been identified at a high correlation rate with known gold mineralization. Validation and follow-up investigation of the targets is being conducted by BTU geologistsBTU recently contracted Windfall to assist with the targeting of high-grade gold at Dixie Halo using their proprietary state-of-the-art AI system. Modern mineral exploration programs yield high volumes of complex data which can be difficult for humans to find patterns in. AI works by using pattern recognition and computational learning theory on a subset of data to solve classification or prediction problems, thus allowing it to make inferences and decisions on the rest of the dataset. The Red Lake gold district has an abundance of known gold deposits and showings as well as publicly available geoscience datasets w...