Machine Learning

Machine learning, a subset of AI, is a method of data analysis that automates analytical model building. It is based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention. In the mining and mineral exploration sectors, machine learning can be used for a variety of purposes.

Mineral Identification and Classification

Machine learning algorithms can be trained to identify different minerals based on their physical and chemical properties. This can be used to quickly and accurately classify minerals in samples and reduce the need for manual analysis.

Predictive Maintenance

Machine learning algorithms can be used to predict when equipment is likely to fail. This can help mining companies to schedule maintenance and repairs in advance, reducing downtime and increasing productivity.

Grade Control

Machine learning can be used to predict the grade of ore in a mine, which helps mining companies to optimize their mining operations and increase profitability.

Artificial Intelligence (AI)

Artificial intelligence, on the other hand, is a broader term that refers to the ability of machines to perform tasks that would typically require human intelligence. In the mining and mineral exploration sectors, AI can be used for several purposes.

Autonomous Mining

AI-controlled mining equipment can be used to automate the mining process and increase efficiency. This can help to reduce costs and increase productivity.

Mineral Exploration

AI can be used to analyse large amounts of data from geological surveys and satellite imagery to identify potential mineral deposits. This can help mining companies to more efficiently explore for new mineral deposits.

Earth AI, an Australian mining tech startup and AI-focused mineral exploration company, is one of the best examples of how AI and machine learning is driving sustainable exploration for critical, rare earth, and battery minerals in Australia.

Earth AI’s unique approach starts with an initial AI analysis, with the aim of generating high-probability AI target in a fertile geological setting. Following subsequent field testing and groundtruthing, Earth AI deploy their autonomous, low-impact diamond drilling rigs.

Earth AI recently partnered with ASX-listed, junior mineral exploration company Kincora Copper Ltd (ASX & TSXV: KCC) to assist in unlocking the potential at the Cundumbul porphyry copper project in the Molong Volcanic Belt, NSW.

Earth AI is reducing the environmental impact of metals extraction through minimally invasive equipment and processes, one borehole at a time.

Safety

AI can be used to monitor mining operations and detect potential safety hazards. This can help to improve the safety of mining operations and reduce accidents.

Closing Thoughts

The integration of machine learning and artificial intelligence technologies in the mining and mineral exploration sectors in Australia is rapidly increasing. These technologies have the potential to revolutionise the way we mine and explore for minerals, helping to increase efficiency, productivity, and profitability. It will be exciting to see how these technologies continue to shape the future of the mining industry in Australia and how they will be used in other sectors.