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Kodiak Uses VRIFY's Artificial Intelligence Software to Optimise Exploration and Drill Targeting

Kodiak Uses VRIFY's Artificial Intelligence Software to Optimise Exploration and Drill Targeting

Kodiak 使用 VRIFY 的人工智能软件来优化勘探和钻探目标
newsfile ·  03/04 06:00

Vancouver, British Columbia--(Newsfile Corp. - March 4, 2024) - Kodiak Copper Corp. (TSXV: KDK) (OTCQB: KDKCF) (FSE: 5DD1) (the "Company" or "Kodiak") today reports that it has entered into an agreement with VRIFY to use its advanced Artificial Intelligence (AI) mineral targeting software to enhance exploration and drilling at its 100% owned MPD copper-gold porphyry project in southern British Columbia.

不列颠哥伦比亚省温哥华--(Newsfile Corp.,2024年3月4日)——科迪亚克铜业公司(TSXV:KDK)(OTCQB:KDKCF)(FSE:5DD1)(“公司” 或 “科迪亚克”)今天报告说,它已与VRIFY达成协议,使用其先进的人工智能(AI)矿物靶向软件来加强其100%拥有的MPD铜的勘探和钻探不列颠哥伦比亚省南部的金斑岩项目。

Exploration results from the MPD project continue to expand the number of drill-confirmed zones and prospective target areas, which now stand at over 20 mineralized centres. Kodiak's management views AI technologies as a promising method to help prioritize drilling more efficiently and cost-effectively.

MPD项目的勘探结果继续扩大已确认钻探区域和潜在目标区域的数量,这些区域目前位于20多个矿化中心。科迪亚克的管理层将人工智能技术视为一种很有前途的方法,可以帮助更高效、更具成本效益地确定钻探的优先顺序。

Data from MPD was analysed by VRIFY's AI software with the aim of predicting areas with a high probability of mineralization. Initial results of the AI analysis are encouraging and highlight drill targets already identified by Kodiak, in addition to a number of new prospective areas (Figure 1). New areas identified by VRIFY AI will be investigated as part of the 2024 exploration program. Moving forward, the dynamic nature of the VRIFY AI driven geo-targeting system is expected to result in more real-time and adaptable exploration strategies at MPD.

来自MPD的数据由VRIFY的人工智能软件进行了分析,目的是预测矿化概率高的区域。人工智能分析的初步结果令人鼓舞,它突显了科迪亚克已经确定的钻探目标以及一些新的潜在区域(图 1)。作为2024年勘探计划的一部分,将对VRIFY AI确定的新区域进行调查。展望未来,VRIFY AI驱动的地理定位系统的动态性质有望为MPD带来更具实时性和适应性的探索策略。

Kodiak will be featured at VRIFY's booth (#3321) at the Investors Exchange of the PDAC conference and will present the results to date from the AI analysis at MPD in a fully interactive 3D presentation. We invite you to attend the VRIFY AI launch event on Monday March 4 at 1pm or visit the booth anytime thereafter, to meet the Kodiak and VRIFY teams and learn more. A VRIFY AI 3D model of MPD will be available on Kodiak's website in due course.

科迪亚克将在PDAC投资者交易所会议的VRIFY展位 (#3321) 上亮相,并将以完全交互式的三维演示形式展示MPD迄今为止的人工智能分析结果。我们邀请您参加3月4日星期一下午1点的VRIFY AI发布会,或在此后随时访问展位,与科迪亚克和VRIFY团队会面并了解更多信息。MPD的VRIFY AI 3D模型将在适当的时候在科迪亚克的网站上提供。

Claudia Tornquist, President and CEO of Kodiak, said, "I have no doubt that AI will revolutionize mineral exploration by vastly improving the integration and evaluation of large geological data sets, thus accelerating drill targeting, enhancing efficiency and reducing exploration costs. We are thrilled by the initial results from our work with VRIFY. Their powerful mineral targeting software fuses cutting-edge AI technology with human expertise in an iterative process, capable of validating existing targets and generating potential new ones at a rapid pace. MPD is well suited to AI-enhanced exploration as it is a treasure trove of data, with Kodiak's extensive project database complemented by historic information spanning many decades. VRIFY AI is an exciting new addition to Kodiak's exploration toolkit and we look forward to applying its full potential at MPD."

科迪亚克总裁兼首席执行官克劳迪娅·托恩奎斯特表示:“我毫不怀疑,人工智能将极大地改善大型地质数据集的整合和评估,从而加快钻探目标,提高效率并降低勘探成本,从而彻底改变矿产勘探。我们对与VRIFY合作的初步结果感到非常兴奋。他们强大的矿物靶向软件在迭代过程中将尖端的人工智能技术与人类专业知识融为一体,能够验证现有目标并快速生成潜在的新目标。MPD 非常适合人工智能增强探索,因为它是数据的宝库,科迪亚克庞大的项目数据库辅之以跨越数十年的历史信息。VRIFY AI是科迪亚克探索工具包中令人兴奋的新增内容,我们期待在MPD充分发挥其潜力。”


Figure 1: Screenshot of VRIFY AI 3D geo-targeting model at MPD North area. Peaks and colour contours rank predictive areas for Cu-Au-Mo mineralization. In addition to identifying known targets (spheres with white text) VRIFY AI modelling selected new prospective areas that will be followed-up in 2024 (black boxes with yellow text and arrows)


图 1: 在 MPD 北部区域 VRIFY AI 3D 地理定位模型的屏幕截图。峰值和颜色轮廓对铜金钼矿化的预测区域进行排名。除了识别已知目标(带有白色文本的球体)外,VRIFY AI 建模还选定了新的前景区域,这些区域将在 2024 年进行后续跟进(带有黄色文字和箭头的黑框)

Jeff Ward, P.Geo, Vice President Exploration and the Qualified Person as defined by National Instrument 43-101, has approved and verified the technical data used in the VRIFY AI mineral targeting software and information contained in this news release. The historic data used herein is believed to be from reliable sources using industry standards at the time, based on Kodiak's review of available documentation and select verification work. However, the Company has not independently validated all historic work, and the reader is cautioned about its accuracy.

勘探副总裁兼国家仪器43-101定义的合格人员杰夫·沃德P.Geo已批准并验证了VRIFY AI矿物靶向软件中使用的技术数据以及本新闻稿中包含的信息。根据科迪亚克对现有文档的审查和部分验证工作,据信此处使用的历史数据来自使用当时行业标准的可靠来源。但是,该公司尚未独立验证所有历史著作,并提醒读者注意其准确性。

On behalf of the Board of Directors
Kodiak Copper Corp.

代表董事会
科迪亚克铜业公司

Claudia Tornquist
President & CEO

克劳迪娅·托恩奎斯特
总裁兼首席执行官

For further information contact:
Nancy Curry, VP Corporate Development
ncurry@kodiakcoppercorp.com
+1 (604) 646-8362

欲了解更多信息,请联系:
南希·库里,企业发展副总裁
ncurry@kodiakcoppercorp.com
+1 (604) 646-8362

About VRIFY Artificial Intelligence

关于 VRIFY 人工智能

VRIFY's artificial intelligence ("AI") targeting system uses a combination of deep learning and computer vision architectures to train predictive models with data from various exploration features like drillholes, rock geochemistry, and mineral occurrences. VRIFY's system then combines data embedding with supervised predictive models to generate a prospectivity score, enabling probabilistic predictions of mineralized areas. The approach leverages complex data relationships to predict mineral exploration targets, streamlining the process of identifying viable mineral deposits. The automation of target generation will allow the trained model to be updated quickly with new data from ongoing exploration work. By using locally trained models, VRIFY will be able to deliver prediction accuracy metrics and feature importance maps, giving true insight into exploration vectors.

VRIFY 的人工智能(“AI”)瞄准系统结合了深度学习和计算机视觉架构,使用来自钻孔、岩石地球化学和矿物矿点等各种勘探特征的数据来训练预测模型。然后,VRIFY的系统将数据嵌入与监督预测模型相结合,生成前景分数,从而可以对矿化区域进行概率预测。该方法利用复杂的数据关系来预测矿产勘探目标,简化了识别可行矿床的过程。目标生成的自动化将允许使用来自正在进行的勘探工作的新数据快速更新经过训练的模型。通过使用本地训练的模型,VRIFY将能够提供预测精度指标和特征重要性地图,从而真正了解探索向量。

The VRIFY modeling is conducted by compiling the exploration data into a gridded data space. Feature engineering steps include, geophysical standard filtering such as vertical derivatives ("FVD"), tilt angle (tilt) and other Fourier filtering. Geological information from outcrops is used to generate a probabilistic lithological map and geochemical data is interpolated using a random forest regression process. The feature engineering process is validated using statistical evaluation of the products together with visual validation. All exploration features are then compiled as entry to the VRIFY targeting algorithm. Learning examples are derived from known mineralized samples established from drillholes, surface sampling, etc.

VRIFY 建模是通过将勘探数据编译到网格化数据空间来进行的。特征工程步骤包括地球物理标准过滤,例如垂直导数(“FVD”)、倾斜角度(倾斜)和其他傅里叶滤波。来自露头的地质信息用于生成概率岩性地图,并使用随机森林回归过程对地球化学数据进行插值。使用产品的统计评估和可视化验证来验证功能工程流程。然后,将所有探索功能编译为VRIFY目标算法的入口。学习示例源自通过钻孔、地表采样等获得的已知矿化样品。

The available learning data points are separated between training and validation sets in order to train and test the algorithm. This allows VRIFY to evaluate the performance metrics associated with the predictive modeling. Together with a stochastic approach in modeling, the results can be evaluated and an uncertainty factor can be associated to each of the AI defined targets.

可用的学习数据点在训练集和验证集之间分开,以便训练和测试算法。这允许VRIFY评估与预测建模相关的性能指标。结合随机建模方法,可以评估结果,并且可以将不确定性因素与人工智能定义的每个目标相关联。

About Kodiak Copper

关于柯迪亚克铜业

Kodiak is focused on its 100% owned copper porphyry projects in Canada and the USA that have been historically drilled and present known mineral discoveries with the potential to hold large-scale deposits. The Company's most advanced asset is the MPD copper-gold porphyry project in the prolific Quesnel Terrane in south-central British Columbia, Canada, a mining district with producing mines and excellent infrastructure. MPD has all the hallmarks of a major, multi-centered porphyry system. Kodiak made an initial discovery of a high-grade porphyry centre of significant size at the Gate Zone and has since successfully outlined multiple kilometre-scale mineralized zones across the large MPD property. With more target areas yet to be tested, Kodiak continues to systematically explore the project to build critical mass and demonstrate MPD's district-scale potential. The Company also holds the Mohave copper-molybdenum-silver porphyry project in Arizona, USA, near the world-class Bagdad mine.

科迪亚克专注于其在加拿大和美国的 100% 自有铜斑岩项目,这些项目历来都经过钻探,目前已知的矿产发现有可能储存大规模矿床。该公司最先进的资产是加拿大不列颠哥伦比亚省中南部多产的Quesnel Terrane的MPD铜金斑岩项目,该矿区拥有出产矿山和良好的基础设施。MPD 具有主要的多中心斑岩系统的所有特征。科迪亚克在Gate Zone初步发现了一个规模庞大的高品位斑岩中心,此后成功地描绘了大型MPD地产中多个千米级的矿化带。由于还有更多目标区域有待测试,科迪亚克继续系统地探索该项目,以建立临界质量并展示MPD的地区规模潜力。该公司还在世界一流的巴格达矿附近持有位于美国亚利桑那州的莫哈维铜钼银斑岩项目。

Kodiak's founder and Chairman is Chris Taylor who is well-known for his gold discovery success with Great Bear Resources. Kodiak is also part of Discovery Group led by John Robins, one of the most successful mining entrepreneurs in Canada.

科迪亚克的创始人兼董事长是克里斯·泰勒,他因在大熊资源公司成功发现金矿而闻名。科迪亚克还是加拿大最成功的矿业企业家之一约翰·罗宾斯领导的探索集团的一员。

Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

多伦多证券交易所风险投资交易所及其监管服务提供商(该术语在多伦多证券交易所风险交易所的政策中定义)均不对本新闻稿的充分性或准确性承担责任。

Forward-Looking Statement (Safe Harbor Statement): This press release contains forward looking statements within the meaning of applicable securities laws. The use of any of the words "anticipate", "plan", "continue", "expect", "estimate", "objective", "may", "will", "project", "should", "predict", "potential" and similar expressions are intended to identify forward looking statements. In particular, this press release contains forward looking statements concerning the Company's exploration plans. Although the Company believes that the expectations and assumptions on which the forward-looking statements are based are reasonable, undue reliance should not be placed on the forward-looking statements because the Company cannot give any assurance that they will prove correct. Since forward looking statements address future events and conditions, they involve inherent assumptions, risks, and uncertainties. Actual results could differ materially from those currently anticipated due to a number of assumptions, factors, and risks. These assumptions and risks include, but are not limited to, assumptions and risks associated with conditions in the equity financing markets, and assumptions and risks regarding receipt of regulatory and shareholder approvals.

前瞻性声明(安全港声明):本新闻稿包含适用证券法所指的前瞻性陈述。使用 “预测”、“计划”、“继续”、“期望”、“估计”、“目标”、“可能”、“将”、“项目”、“应该”、“预测”、“潜力” 等词语中的任何词语都是为了识别前瞻性陈述。特别是,本新闻稿包含有关公司勘探计划的前瞻性声明。尽管公司认为前瞻性陈述所依据的预期和假设是合理的,但不应过分依赖前瞻性陈述,因为公司无法保证这些陈述会被证明是正确的。由于前瞻性陈述涉及未来的事件和状况,因此它们涉及固有的假设、风险和不确定性。由于许多假设、因素和风险,实际结果可能与目前的预期存在重大差异。这些假设和风险包括但不限于与股权融资市场状况相关的假设和风险,以及有关获得监管和股东批准的假设和风险。

Management has provided the above summary of risks and assumptions related to forward looking statements in this press release in order to provide readers with a more comprehensive perspective on the Company's future operations. The Company's actual results, performance or achievement could differ materially from those expressed in, or implied by, these forward-looking statements and, accordingly, no assurance can be given that any of the events anticipated by the forward-looking statements will transpire or occur, or if any of them do so, what benefits the Company will derive from them. These forward-looking statements are made as of the date of this press release, and, other than as required by applicable securities laws, the Company disclaims any intent or obligation to update publicly any forward-looking statements, whether as a result of new information, future events, or results or otherwise.

管理层在本新闻稿中提供了上述与前瞻性陈述相关的风险和假设摘要,以便读者更全面地了解公司的未来运营。公司的实际业绩、业绩或成就可能与这些前瞻性陈述所表达或暗示的业绩、业绩或成就存在重大差异,因此,无法保证前瞻性陈述所预期的任何事件会发生或发生,也无法保证其中任何事件会发生或发生,也无法保证公司将从中获得什么好处。这些前瞻性陈述自本新闻稿发布之日起作出,除适用的证券法要求外,公司不承担任何公开更新任何前瞻性陈述的意图或义务,无论这些陈述是由于新信息、未来事件、业绩或其他原因造成的。

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