HPX strategic-partner Computational Geosciences Inc. (CGI) is teaming up with Auryn Resources Inc. (TSX: AUG, NYSE AMERICAN: AUG) to implement an artificial intelligence program to assist in the targeting of high-grade gold mineralization at Committee Bay. CGI will employ their proprietary VNet segmentation deep learning algorithm.
VNet is a type of convolutional neural network (CNN) that can handle an arbitrary number of geoscience data inputs in either 2D or 3D. It is also sensitive to sparse or dense data areas, can detect multiple feature resolutions (ie. regional trends vs. local anomalies) and is scalable across large areas.
This style of deep learning for mineral exploration is an emerging technology that requires expertise in geoscience data processing, data interpretation, and artificial intelligence. The biggest advantage of a data-driven solution is to extract subtle correlations across multiple datasets over a large spatial area, all while reducing human bias. By generating targets with deep learning, and vetting them with an experienced geoscience team, the expertise of the human is still utilized but complemented by the power of the machine.
For more information please see Auryn’s news release.