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Maple Gold Applies Machine Learning for High-Grade Gold Targeting at Douay
Montreal, Quebec--(Newsfile Corp. - July 7, 2020) - Maple Gold Mines Ltd. ( TSXV: MGM ) ( OT...
About this update from Maple Gold Mines Ltd
[{"type":"text","content":"Maple Gold Applies Machine Learning for High-Grade Gold Targeting at DouayMontreal, Quebec--(Newsfile Corp. - July 7, 2020) - Maple Gold Mines Ltd. (TSXV: MGM) (OTCQB: MGMLF) (FSE: M3G) (\"Maple Gold\" or the \"Company\") has engaged Computational Geosciences Inc. (\"CGI\") to complete a new and expanded Artificial Intelligence (\"AI\") study for targeting high-grade gold at Douay. This study will use all available digital datasets within a 128km² area centered on the resource area (Fig. 1) in order to generate gold prospectivity maps and provide additional target areas to validate and rank in advance of the Company's next phase of drilling later this year. AI studies, as applied to Mineral Exploration, involve the application of automated mathematical models (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 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. Maple Gold's President and CEO, Matthew Hornor, commented: \"Our team is excited to collaborate with CGI, a group we are very familiar with given their strategic partnerships with the Ivanhoe group of companies. The last time any machine learning was applied at Douay was limited and more than a decade ago. There is significantly more project data now, with more sophisticated algorithms and increased computing power on the processing side. We are excited to complete this exercise in parallel with our IP program as we refine and detail top priority discovery targets in advance of our planned drilling in late Q3 or early Q4.\" About VNet: VNet is a customized convolutional neural network (CNN) that can handle an arbitrary number of geoscience data inputs in either 2D or 3D. This customized CNN is sensitive to sparse or dense data areas, can detect multiple feature resolutions (i.e. regional trends vs. local anomalies) and is scalable across large areas. This style of deep learning for mineral exploratio...