Business
AI programme started on our Botswana database
AI programme started on our Botswana database.
About this update from Botswana Minerals Plc
[{"type":"text","content":"\n\n \n16 August 2024\n \nBotswana Diamonds PLC\n(\"Botswana Diamonds\" or the \"Company\")\n \nArtificial Intelligence programme started on our Botswana database\n \nBotswana Diamonds plc, (AIM: BOD) the London AIM and Botswana Stock Exchange listed diamond company, is pleased to announce that it is has started a programme of Artificial Intelligence (\"AI\") techniques on our Botswana database. Initial exploration results will be available within the next four to six weeks.\n \nThe company has the second largest diamond exploration database in Botswana. This is an excellent foundation to incorporate AI to assist in a comprehensive search for new diamond deposits and potentially other minerals.\n \nThe Company's database consists of:\n \n· c.95,000 sq km of data.\n· c.375,000 km airborne geophysical data.\n· 606 ground geophysical surveys.\n· c.228,000 soil sample results.\n· c.32,000 drill hole logs.\n \nIn total 380 gigabytes of data and 260,000 files.\n \nThe company will utilise Planetary AI Ltd Xplore mineral prospectivity technology which was developed in collaboration with International Geoscience Services Limited. \n \nXplore is a system that uses a unique combination of semantic technology with machine learning. Semantic technology is a branch of artificial intelligence focused on understanding and representing the meaning of data, information, and knowledge in a machine-readable format. It enables computers to comprehend, interpret, and reason with data in a manner similar to human understanding, enhancing the effectiveness of information retrieval, integration, and analysis. This allows computers to \"understand\" the meaning and context of geological data in much the same way a geologist would, in order to identify zones of prospective mineralisation based on specific mineral deposit models.\n \nThe system acts much like a geologist but can function quicker and more efficiently. Vast data-sets are processed though AI that finds logical gaps in the data and learns to correct them. This exercise is expected to yield fresh insights that will offer drillable targets previously unseen.\n \nChairman, John Teeling, commented: \"Our mineral database in Botswana...