{"id":101949,"date":"2026-06-04T09:23:51","date_gmt":"2026-06-04T13:23:51","guid":{"rendered":"https:\/\/mrnf.gouv.qc.ca\/?page_id=101949"},"modified":"2026-06-10T09:49:54","modified_gmt":"2026-06-10T13:49:54","slug":"applying-artificial-intelligence-mineral-resources","status":"publish","type":"page","link":"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/program\/applying-artificial-intelligence-mineral-resources\/","title":{"rendered":"From Data to Discovery: Applying Artificial Intelligence to Mineral Resources"},"content":{"rendered":"\n<p>This session is organized by the Laboratoire d\u2019analyse g\u00e9oscientifique et num\u00e9rique par intelligence artificielle (LAGNIA), a consortium consisting of the Geological Survey of Canada (GSC), the Institut national de la recherche scientifique (INRS), Quebec\u2019s Minist\u00e8re des Ressources naturelles et des For\u00eats (MRNF), and France\u2019s Bureau de Recherches G\u00e9ologiques et Mini\u00e8res (BRGM).<\/p>\n<p>Artificial Intelligence (AI) is rapidly transforming mineral exploration by enabling new approaches for the integration, interpretation, and enhancement of geoscientific data. From machine learning and deep learning methods to AI-assisted 3D geophysical inversion, predictive modelling, remote sensing, and multi-source data fusion, AI is paving the way for more efficient, targeted, and sustainable exploration strategies.<\/p>\n<p>This session aims to bring together researchers, industry professionals, and decision-makers to review methodological advances, practical applications, and case studies related to the use of AI in mineral exploration. Topics may include, without being limited to, the following:<\/p>\n<ul>\n<li>Multi-scale geoscientific data integration and analysis<\/li>\n<li>Predictive mineral prospectivity mapping<\/li>\n<li>AI-assisted geophysical inversion<\/li>\n<li>Geochemical and hyperspectral data processing<\/li>\n<li>Critical mineral applications<\/li>\n<li>Data quality, model generalization, and interpretability challenges<\/li>\n<\/ul>\n<p>This initiative seeks to strengthen international and inter-institutional collaboration, to accelerate digital innovation in mineral discovery and support critical mineral strategies.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This session is organized by the Laboratoire d\u2019analyse g\u00e9oscientifique et num\u00e9rique par intelligence artificielle (LAGNIA), a consortium consisting of the Geological Survey of Canada (GSC), the Institut national de la recherche scientifique (INRS), Quebec\u2019s Minist\u00e8re des Ressources naturelles et des For\u00eats (MRNF), and France\u2019s Bureau de Recherches G\u00e9ologiques et Mini\u00e8res (BRGM). Artificial Intelligence (AI) is [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":0,"parent":83192,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"quebecMines-inter.php","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_oasis_is_in_workflow":0,"_oasis_original":0,"_oasis_task_priority":"","footnotes":""},"class_list":["post-101949","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>From Data to Discovery: Applying Artificial Intelligence to Mineral Resources - Minist\u00e8re des Ressources naturelles et des For\u00eats<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/program\/applying-artificial-intelligence-mineral-resources\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From Data to Discovery: Applying Artificial Intelligence to Mineral Resources - Minist\u00e8re des Ressources naturelles et des For\u00eats\" \/>\n<meta property=\"og:description\" content=\"This session is organized by the Laboratoire d\u2019analyse g\u00e9oscientifique et num\u00e9rique par intelligence artificielle (LAGNIA), a consortium consisting of the Geological Survey of Canada (GSC), the Institut national de la recherche scientifique (INRS), Quebec\u2019s Minist\u00e8re des Ressources naturelles et des For\u00eats (MRNF), and France\u2019s Bureau de Recherches G\u00e9ologiques et Mini\u00e8res (BRGM). Artificial Intelligence (AI) is [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/program\/applying-artificial-intelligence-mineral-resources\/\" \/>\n<meta property=\"og:site_name\" content=\"Minist\u00e8re des Ressources naturelles et des For\u00eats\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/RessourcesNaturellesForets\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-10T13:49:54+00:00\" \/>\n<meta property=\"og:image\" content=\"\/wp-content\/uploads\/QME2024_OG-FB-1024x535.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"627\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/mrnf.gouv.qc.ca\/wp-content\/uploads\/QME2024_OG-TW.jpg\" \/>\n<meta name=\"twitter:site\" content=\"@mrnfqc\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/program\/applying-artificial-intelligence-mineral-resources\/\",\"url\":\"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/program\/applying-artificial-intelligence-mineral-resources\/\",\"name\":\"From Data to Discovery: Applying Artificial Intelligence to Mineral Resources - Minist\u00e8re des Ressources naturelles et des For\u00eats\",\"isPartOf\":{\"@id\":\"https:\/\/mrnf.gouv.qc.ca\/#website\"},\"datePublished\":\"2026-06-04T13:23:51+00:00\",\"dateModified\":\"2026-06-10T13:49:54+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/program\/applying-artificial-intelligence-mineral-resources\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/program\/applying-artificial-intelligence-mineral-resources\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/program\/applying-artificial-intelligence-mineral-resources\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\/\/mrnf.gouv.qc.ca\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Qu\u00e9bec Mines + \u00c9nergie\",\"item\":\"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Program 2026\",\"item\":\"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/program\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"From Data to Discovery: Applying Artificial Intelligence to Mineral Resources\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/mrnf.gouv.qc.ca\/#website\",\"url\":\"https:\/\/mrnf.gouv.qc.ca\/\",\"name\":\"Minist\u00e8re des Ressources naturelles et des For\u00eats\",\"description\":\"Prototype WordPress\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/mrnf.gouv.qc.ca\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"From Data to Discovery: Applying Artificial Intelligence to Mineral Resources - Minist\u00e8re des Ressources naturelles et des For\u00eats","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/mrnf.gouv.qc.ca\/en\/quebec-mines\/program\/applying-artificial-intelligence-mineral-resources\/","og_locale":"en_US","og_type":"article","og_title":"From Data to Discovery: Applying Artificial Intelligence to Mineral Resources - Minist\u00e8re des Ressources naturelles et des For\u00eats","og_description":"This session is organized by the Laboratoire d\u2019analyse g\u00e9oscientifique et num\u00e9rique par intelligence artificielle (LAGNIA), a consortium consisting of the Geological Survey of Canada (GSC), the Institut national de la recherche scientifique (INRS), Quebec\u2019s Minist\u00e8re des Ressources naturelles et des For\u00eats (MRNF), and France\u2019s Bureau de Recherches G\u00e9ologiques et Mini\u00e8res (BRGM). 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