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By A.J. Roan
Metal Tech News 

GoldSpot in high demand for AI exploration

Blue Star and Gold'n Futures seek machine learning expertise Metal Tech News - September 22, 2021

 

Last updated 9/28/2021 at 3:25pm

Blue Star Gold GoldSpot Discoveries Gold'n Futures Mineral Corp. map AI Lithium

Blue Star Gold Corp.

A geologist checks for gold in core from drilling at Blue Star's High Lake Greenstone belt projects in Nunavut, Canada.

Blue Star Gold Corp. is among the latest in a rapidly growing list of mineral exploration companies leveraging the machine learning and artificial intelligence capabilities offered by GoldSpot Discoveries Corp.

As the largest stakeholder along the High Lake Greenstone belt in Nunavut, Canada, Blue Star's Ulu, Hood River and Roma projects cover more than 40 high-grade gold occurrences over a 50-kilometer (31 mile) strike, with a majority of the two former projects being largely underexplored.

"The extent of the high-grade gold showings and the presence of different styles of gold mineralization throughout our projects present Blue Star with multiple opportunities for new discovery and resource growth," said Blue Star Gold CEO Grant Ewing. "With the assistance of GoldSpot, Blue Star's team expects to elevate more targets to drill ready status and increase the number of targets in our developing pipeline."

With the majority of 100,000 meters of drilling done at the Ulu project, GoldSpot will work closely with the team at Blue Star to apply its proprietary machine learning approach on the projects that have remained relatively unexplored, mainly Hood River and Roma, to provide smart targets.

With the recent acquisition of the Roma project, Blue Star now controls over 160 square kilometers (61.8 square miles) of highly prospective and underexplored mineral properties in the High Lake Greenstone Belt.

According to a 2015 calculation, the Flood and Gnu zones on the Ulu property host 2.5 million metric tons of measured and indicated resources averaging 7.53 grams per metric ton (605,000 ounces) gold; and 1.26 million metric tons of inferred resource grading 5.57 g/t (226,000 oz) gold.

"We are excited to work with the Blue Star team and to help them define high priority areas for further exploration," said GoldSpot Discoveries CEO Vincent Dubé-Bourgeois. "GoldSpot will work closely with the technical team at Blue Star to analyze geophysical, geochemical and geological data to provide smart targets for further drilling."

This engagement comes just four days after GoldSpot was approached by Gold'n Futures Mineral Corp. to complete property-wide, high-definition airborne geophysical surveys while conducting a comprehensive four phase AI-based target generation for the company's Hercules Gold project in Northern Ontario.

artificial intelligence machine learning gold exploration Vale Critical Elements

Blue Star Gold Corp.

As the momentum continues to build for GoldSpot, many companies have already found significant success in leveraging the power of machine learning in mineral exploration.

"Companies such as Yamana, Vale, New Found Gold Corp., and Critical Elements Lithium Corporation have benefitted from GoldSpot's cutting-edge AI and geoscientific expertise across resources and mineral types," said GoldSpot Discoveries Executive Chairman and President Denis Laviolette. "We are excited to add Gold'n Futures to our growing client base of top-tier exploration properties and look forward to executing our new M-PASS airborne geophysical platform and four-phase target generation program on the Hercules Gold project."

 

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