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Transforming Mineral Exploration with AI

Transforming Mineral Exploration with AI
Using advanced AI techniques to discover hard to find metal resources to reduce cost, and environmental impact.
How It Works
The Precision Prospecting Loop
Where ideas evolve faster, AI assists, your team leads.
Ingestion
Multi-Source Data Aggregation
Merging historical drill logs, satellite hyperspectral imagery, and geophysical surveys into a unified data lake.
Normalization
Structural Data Alignment
Cleaning and “translating” disparate data formats into a machine-readable 3D grid.
AI Neural Mapping
Pattern Recognition
Our Generative AI identifies non

原文链接：https://ai-metals.ai/

工信部2025年人工智能应用典型案例名单公布中铝郑州研究院《铝土矿成分实时在线AI分析应用》成功入选_新浪财经_新浪网

工信部2025年人工智能应用典型案例名单公布中铝郑州研究院《铝土矿成分实时在线AI分析应用》成功入选
2026年07月28日 10:55 世铝网
近日，工业和信息化
公布2025年人工智能应用典型案例名单，中铝郑州研究院《铝土矿成分实时在线AI分析应用》成功入选。
《铝土矿成分实时在线AI分析应用》案例讲述了
州研究院结合AI算法与光谱分析技术，创新采用数据与物理机理融合的光谱预处理技术，开发了高准确率的深度AI检测模型，研制出完全自主可控的铝土
本文作者：世铝网

原文链接：https://finance.sina.com.cn/wm/2026-07-28/doc-inikimek9423455.shtml

AI赋能下金属矿绿色智能开采技术应用与优化研究-期刊网

、安全管控及生态修复四个维度，分析技术应用路径与优化策略。结合工程案例验证，该体系可实现风险秒级处置、资源利用率提升10%以上、废石排放
少25%，为金属矿高质量开采提供实践支撑。关键词：采矿工程；AI赋能；绿色开采；膏体充填；安全管控
AI赋能下金属矿绿色智能开采技术应用与优化研
关利军
610524199209164413
摘要：在“双碳”目标与深地资源开发需求驱动下，金属矿开采正从传统粗放模式向绿色智能方向转型，面临安全风险防控难、

原文链接：https://www.chinaqikan.com/thesis/view/9672458

Lima Forum – Global Mining Guidelines Group

ner Innovación Minera del Perú, bring together Peruvian mining industry professionals to explore the future of mining through innovation and sustainability. As the sector evolves, it faces pressing challenges, from decarbonization and safety imperatives to embracing cutting-edge technologies like AI, automation, and battery electric vehicles.
Over two days, we’ll hear demonstrations and case studies and dive deep into practical strategies to address these obstacles and drive transformative change. You will also gain valuable insights into the GMG guidelines, white papers and ongoing collab

原文链接：https://gmggroup.org/lima-forum-2025/

AI-DeepFrothNet: : Continuous monitoring and tracking of froth flotation working condition by root cause analysis and optimized predictive control

research-article
AI-DeepFrothNet: : Continuous monitoring and tracking of froth flotation working condition by root cause analysis and optimized predictive control
Authors :
Khalid A. Abouda , Degang Xu, Wail M. Idress, Hager M. Elmaki , + 5
, Tehseen Mazhar, Muhammad Aoun, + 3, Yazeed Yasin Ghadi, Tariq Shahzad, Habib Hamam (Less)
Volume 123, Issue PD
https://doi.org/10.1016/j.compeleceng.2025.110251
Published : 01 April 2025 Publication History
Abstract
References
Abstract
Achieving optimal working conditions in froth flotation is critical for maximizing mineral recovery. Traditional manua

原文链接：https://dl.acm.org/doi/abs/10.1016/j.compeleceng.2025.110251

拥抱人工智能推动科技创新——广西关键金属集团以AI赋能智能选矿

无法做出调整的空档。为破解这一难题，2025年高峰公司联合赣州有色冶金研究所组建技术团队，锁定一个目标：让AI替人“看”矿带。矿带在不同光照下颜色不一，不同给矿条件下形态各异，摇床之间也有细微差异。怎么办？“
！”巴里选矿厂厂长朱文涛说，技术团队采集了大量不同光照条件下的摇床矿带图像，由人工一张张标注：哪里是精矿带，哪里是尾矿带，分界线在哪里……各种工况下的矿带模样，统统放进“教材”里。标注完，技术人员采用Y
本文作者：八桂科创

原文链接：http://m.toutiao.com/group/7696045128682619427/?upstream_biz=VolcEngine

Vale and ABB Launch AI Automation Program to Transform Iron Ore Processing

Popular Tags
ABB
AI Automation
Industrial Digitalization
Smart Mining
ABB
By MaxWell
August 12, 2026
Vale and ABB Launch AI Automation Program to Transform Iron Ore Processing
Vale S.A. and ABB have entered into a strategic agreement to expand the use of artificial intelligence (AI), digitalization, and industrial automation technologies across Vale’s iron ore processing plants in Brazil. The collaboration represents a major step toward building more intelligent mining operations, where data-driven decisions and automated control systems can optimize complex mineral processing workflows.
The

原文链接：https://www.maxwellplc.com/blogs/news/vale-and-abb-launch-ai-automation-program-to-transform-iron-ore-processing