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GoldSpot Discoveries AI-Targeted Drilling Intercepts 12.8 g/t Gold over 0.5m at Manitou Gold's Patents Property
Toronto, Ontario--(Newsfile Corp. - May 4, 2020) - GoldSpot Discoveries Corp. (TSXV: SPOT) (" ...
About this update from Earthlabs Inc
[{"type":"text","content":"GoldSpot Discoveries AI-Targeted Drilling Intercepts 12.8 g/t Gold over 0.5m at Manitou Gold's Patents PropertyToronto, Ontario--(Newsfile Corp. - May 4, 2020) - GoldSpot Discoveries Corp. (TSXV: SPOT) (\"GoldSpot\" or the \"Company\") is pleased to announce that Manitou Gold Inc.'s (\"Manitou\") successful drill target intercepts in drill hole MTU-20-14 located on the Patents Property at the Goudreau Project in northeastern Ontario provide early confirmation of GoldSpot's machine learning (artificial intelligence) - prospectivity mapping in that area. While these results are from one hole only and there can be no assurances that additional drilling will continue to yield such positive results, management of GoldSpot is encouraged by the solid data received by Manitou to date. The major structure intersected at the Patents Property is directly within GoldSpot's previously highlighted prospective zone and conforms to the Company's proprietary structural geology interpolation mapping techniques (see the prospectivity and structural interpolation maps, below). GoldSpot's prospectivity assessment work results from the integration of new field data collected by Company geologists in the summer of 2019, integrated with publicly available geophysical data and filed assessment reports.\"We are highly encouraged with our initial drilling of the Patents Property, which resulted in the intersection of gold grades similar to those intersected at the Island Gold and Edwards Mines immediately to the west of the property,\" stated Richard Murphy, President and CEO of Manitou. \"I look forward to the continued drilling at this property as work at adjacent mine properties suggest both gold grades and widths of mineralization can increase with depth. We are also eager to follow up on other areas of our properties interpreted as having high prospectivity through the GoldSpot process.\"2019 field work provided essential insights on the structural setting and overall controls on mineralization in the area and resulted in a useable dataset for the machine learning exercise. Field work was also essential to perform quality control on historical data to better integrate it in the prospectivity analysis. Insights gained through field work allowed the selection of the ideal input variables (features) and the optimal approach to engineering them for the p...