In this episode of Mining Stock Education, Bill Powers hosts Dr. Rob Stevens, author of 'Mineral Exploration and Mining Essentials' and proprietor of MiningEssentials.com, to discuss the latest advancements in core scanning technology and the integration of artificial intelligence (AI) in the process. Dr. Stevens explains the fundamental technologies behind core scanning, such as XRF, hyperspectral sensors, and LIBS, and their roles in capturing invaluable geochemical and mineralogical data. The discussion also covers how AI can improve geological targeting and predictability in exploration projects by interpreting large datasets effectively. Additionally, Dr. Stevens highlights the applications and advantages of core scanning for investors and elaborates on how it can standardize core logging, optimize sample prioritization, and better guide future drill holes. Finally, insights are shared on the ethical considerations and the tangible benefits that investors should be aware of regarding core scanning technologies.
0:00 Introduction and Guest Introduction
0:30 Overview of Core Scanning Technology
1:51 Types of Core Scanning Methods
4:25 XRF Scanning Explained
6:14 Hyperspectral Scanning Explained
7:43 LIBS Scanning Explained
8:56 Case Studies and Examples
14:14 Advantages of Core Scanning
17:53 Role of AI in Core Scanning
19:28 Investor Considerations
22:31 Q&A Session
30:17 Conclusion and Final Thoughts
To learn about Rob’s book and online training courses: https://www.miningessentials.com/
Rob’s YouTube channel:
https://www.youtube.com/@mining-essentials
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This episode was not sponsored. MSE received no compensation to speak favorably of Rob Stevens’ book and has no revenue-sharing arrangement with Dr. Stevens. Mining Stock Education offers informational content based on available data but it does not constitute investment, tax, or legal advice. It may not be appropriate for all situations or objectives. Readers and listeners should seek professional advice, make independent investigations and assessments before investing. MSE does not guarantee the accuracy or completeness of its content and should not be solely relied upon for investment decisions. MSE and its owner may hold financial interests in the companies discussed and can trade such securities without notice. MSE is biased towards its advertising sponsors which make this platform possible. MSE is not liable for representations, warranties, or omissions in its content. By accessing MSE content, users agree that MSE and its affiliates bear no liability related to the information provided or the investment decisions you make. Full disclaimer: https://www.miningstockeducation.com/disclaimer/