The mining industry is facing challenges due to cost pressures and dwindling resources, leading to a shift towards new technologies like AI to enhance minerals prospecting and exploration. Companies like Power Metals and Dias Geophysical are utilizing AI, geophysical methods, and hyperspectral analysis to speed up exploration efforts and identify deposits that are increasingly difficult to locate. Integration with geology and other datasets is crucial, with AI playing a valuable role in data analysis and decision-making.
The use of AI in mineral exploration is on the rise, with companies like Seequent and Ideon Technologies leveraging AI to analyze geological data and identify potential mineral deposits. Start-up companies like KoBold Metals are also investing heavily in AI-driven approaches to minerals exploration. Despite industry reluctance, there is a growing recognition of the importance of adopting new technologies to accelerate mineral discovery.
Companies are also exploring technologies like hyperspectral imaging and muon tomography to map subsurface structures and identify drill targets in challenging environments. However, challenges remain in terms of integrating data, overcoming industry reluctance to embrace new technologies, and managing large-scale datasets. Industry experts emphasize the need for the mining industry to adapt to new workflows and technologies like AI and machine learning to stay competitive in a rapidly changing technological landscape.
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