This survey is an important step in the exploration process for discovering new high-grade silver-cobalt deposit structures.
Canada Silver Cobalt Works Inc. (TSXV: CCW) (OTCQB: CCWOF) (FSE: 4T9B) (“Company” or “Canada Silver Cobalt”) develops an airborne multi-parameter airborne survey system (M-PASS). carry out. Developed by ALS GoldSpot Discoveries Ltd. (ALS GoldSpot) on a large portion of the Castle Mine site in northern Ontario.
“This is an important step for us to provide the additional data needed for high-quality AI and machine learning drills on the Castle site to support the discovery of the high-grade silver-cobalt deposits already discovered there. It’s going to be complementary,” said Matt Halliday, President and COO of P.Geo.
“The Castle site has a rich database of drilling, geophysical and geochemical data accumulated over many years of past mining activity and recent drillings of more than 60,000 meters. – Added PASS Survey” Lake Basin adds missing components to complete high-quality machine learning targeting. It is important to note that there is a lot of unsurveyed ground on the Castle site that could benefit from this exercise in favor of excavating to find new high-grade structures. added Halliday.
The helicopter airborne survey will be conducted during the week of June 25 and will cover a total of 32.8 kilometers.2 Around Castle Mine, which covers the entire southern site of the Canadian Silver Cobalt Mill in the Mirror Lake Basin.
Developed by expert geoscientists and data scientists at ALS GoldSpot, the state-of-the-art M-PASS platform features an impressive array of advanced sensors, including a 3-axis magnetic gradient magnetic/VLF platform, a 2048-channel radiometric sensor, and a high-precision LiDAR sensor. Proud of technology. , and a high-resolution camera capable of producing 4-band images. By employing computational techniques such as multivariate analysis and machine learning, ALS GoldSpot can effectively optimize traditional exploration workflows and minimize the risks associated with exploration targeting.
qualified person
The technical information in this news release was approved and prepared under the supervision of Mr. P.Geo. (PGO) Matthew Halliday, President and COO of Canada Silver Cobalt Works Inc., a qualified person per National Instrument 43. rice field. 101.
About ALS GoldSpot Discovery Ltd.
ALS GoldSpot Discoveries Ltd. is a group of professional geoscientists and data scientists based in Canada, leveraging computational techniques such as multivariate analysis and machine learning to develop innovative solutions for the mining and exploration industry. We specialize in providing ALS GoldSpot’s unique technology and expertise enable clients to navigate complex geological challenges effectively.
In today’s data-rich mining and exploration landscape, the true value of data lies in its effective integration into the decision-making process. ALS GoldSpot’s team of full-spectrum geoscientists and data scientists have unmatched expertise in mineral exploration and mining, combining proprietary technology with deep knowledge. They provide end-to-end services to their clients and partners, addressing big data challenges by integrating underutilized data to gain deeper insight into resource asset potential.
ALS GoldSpot is a collective of earth science and data science subject matter experts who leverage proprietary artificial intelligence (AI) and machine learning (ML) algorithms to deliver customized solutions to mining and exploration clients. increase. Their unique process is specifically designed to enhance the exploration, extraction and processing of mineral resources.
Machine learning plays a pivotal role in mineral exploration and mining because it enables the creation of analytical models that deliver consistent, reproducible, and objective results, enabling informed decision-making. Plays. Additionally, ML algorithms have the potential to extract patterns, relationships, and trends from vast amounts of data, revealing unconventional or “hidden” insights. Future geophysical programs at Castlesite will provide the critical data needed for high-quality machine learning analysis.
By working with ALS GoldSpot and deploying advanced M-PASS technology, Canada Silver Cobalt Works demonstrates its commitment to adopting cutting-edge techniques for efficient, data-driven exploration. The joint effort of Canada Silver Cobalt and ALS GoldSpot promises to unlock new possibilities and drive significant advances in mineral exploration and mining.
About Canada Silver Cobalt Works Inc.
Canada Silver Cobalt Works recently completed a major operation at Castle East, 1.5 kilometers from its wholly owned and previously producing Castle Mine near Gouganda, a world class silver and cobalt mining area in the north. discovered a high-grade silver ore system. Ontario. The Company has completed a 60,000m drilling program aimed at expanding the size of the deposit and updates to resource estimates are in progress.
In May 2020, the company released the region’s first 43-101 resource estimate based on a small initial drilling program. It contains a total of 7.56 million ounces of silver in the Inferred Resource, estimated to contain very high grade silver (8,582 grams per tonne). In the Castle East Robinson Zone he cut 27,400 tons of material from two sections (1A and 1B) starting at a vertical depth of about 400 meters (or 250.2 oz/ton). Note that mineral resources that are not mineral reserves have not proven economically viable. See Canada Silver Cobalt Works press release May 28, 2020 for resource estimates. Report Reference: Rachidi, M. 2020, NI 43-101 Technical Report Mineral Resource Estimate for Castle East, Robinson Zone, Ontario, Canada, Effective May 28, 2020, Signed July 13, 2020.
The company also has the following businesses: (1) In northern Quebec he has 14 battery metal facilities and recently completed a drilling program of approximately 16,000 meters at the Graal facility. (2) the 1,000-hectare Ebi Otto prospective gold mine near the high-grade Makassa mine near Lake Kirkland, Ontario, which is being explored by Agnico Eagle; (3) Lithium Feature – A 230 square kilometer greenfield prospect centered along important volcanic sedimentary rocks – in contact with Archean granite near Cochrane, Ontario, adjacent to Power Metals’ Case Lake Lithium Feature.
Canada Silver Cobalt’s flagship Silver Cobalt Castle Mine and 78 square kilometer Castle property features strong prospecting prospects for silver, cobalt, nickel, gold and copper. Underground access to the wholly-owned Castle Mine, the discovery of exceptional high-grade silver at Castle East, a pilot plant to produce a cobalt-rich gravity concentrate, the Cobalt Town Processing Facility (TTL Laboratory), and a proprietary wet mill. Features a metallurgical process. Canada Silver Cobalt, known as Re-2Ox (for the production of technical grade cobalt sulfate and nickel-manganese-cobalt (NMC) formulations), is strategically positioned to become Canada’s leader in silver and cobalt. . For more information, please visit www.canadasilvercobaltworks.com.
“Frank J. Vasa”
Frank J. Vasa, Ph.D. in Engineering.
chief executive officer
For more information, please contact:
Frank J. Vasa, P.Eng.
chief executive officer
416-625-2342
or:
Wayne Schwerdeoff
Corporate communication
Phone: 416-710-2410
E: waynecheveldayoff@gmail.com
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Cautionary Note Regarding Forward-Looking Statements
Neither TSX Venture Exchange nor its regulated service providers (as those terms are defined in the TSX Venture Exchange Policy) are responsible for the adequacy or accuracy of this release. This news release may contain forward-looking statements, including, but not limited to, comments regarding future events or circumstances that are subject to various risks and uncertainties. Except for statements of historical fact, comments that refer to potential resources, future work plans, geological interpretations, receipt and securing of mineral titles, availability of funds, etc. are forward-looking. Forward-looking statements are not guarantees of future performance and actual results may differ materially from those statements. General business conditions could cause actual results to differ materially from the forward-looking statements.
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