editor's note: 矿业无小事，一头连着国计民生，一头系着千家万户。当前，矿业行业之于经济社会高质量发展的作用格外凸显，矿业领域热点不断。繁杂信息之下，如何准确把握这些热点，洞察热点背后的深意，营造良好舆论？为此，《中国矿业报》特开设《热点新论》专栏，以短评方式，第一时间对矿业领域热点进行解析评论，力求短、平、实，注重思想性、引导性、时效性。敬请关注。

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[Hot New Theory| Mineral prospectors across the country have a clear idea!

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As an important component of new productivity in the mining industry, artificial intelligence (AI) prospecting is in the ascendant. AI prospecting is a technological innovation based on geological scientists and traditional geological work. ** At present, there are nearly 100 start-ups around the world that use AI to find mines. AI technology's large-scale, fast and accurate data processing capabilities can greatly improve prospecting efficiency. **

Mineral exploration expands AI application fields, and AI technology enhances mineral exploration capabilities. 矿产勘查研究是采集数据、分析数据、形成模型、得出结论的系统工程。当前，找矿的数据采集以传统手段为主，但地质找矿模型的机器学习逐步发展，AI专业模型的数据分析优势凸显。

AI prospecting is an important breakthrough in participating in global mining governance. 工业革命以来，全球地质科学家积累了海量公益性地质数据和大量成矿模型文献。谁率先完成了这些数据和模型的集成利用，谁就具备了为全球提供优质地质矿产公共产品的基础能力，谁就能更好地开展全球地质矿产评价，谁就能在全球矿业治理的标准制定和倡议上拥有更多话语权。

万物得其本者生，百事得其道者成。The development of AI prospecting should start from the three core indicators of data, algorithms and computing power. 地质数据规模越大，AI找矿能力越强，宜加强地质大数据平台建设，推进地质数据共享，加快提升地质数据采集智能化水平。同时，应大力推动地矿行业专用大模型研究，充分借鉴国际开源算法，加强自主算法建设，训练和优化找矿模型，服务全球找矿。

_This article was originally published in the first edition of China Mining News on March 29_

_Original title:"Developing AI Mining as a New Productivity"_