New targets identified through machine learning at Auryn’s Committee Bay high-grade gold project

19 February 2019

Auryn Resources Inc. is pleased to announce that it has received results from the machine learning targeting exercise for the Committee Bay high-grade gold project in Nunavut. The machine learning technology is provided by Computational Geosciences Inc. (CGI) and their proprietary VNet segmentation deep learning algorithm.
Highlights: 
A total of twelve new targets were generated, including: 

• Two targets overlapping with Auryn’s geologist derived targets, adjacent to the Aiviq and Kalulik discoveries.
• Two targets creating east and west extensions of the Three Bluffs deposit.
• Multiple targets hidden beneath shallow lakes and glacial-fluvial cover.

A third structure has been identified (in addition to the Three Bluffs structure and Aiviq and Kalulik structure) with 15 kilometers of strike length.
 

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