Key Takeaways AI-based thickener control is a published, validated strategy — reinforcement-learning (proximal policy optimization) controllers have reported 10-15% flocculant savings in the literature. There’s no single dominant named “AI thickener” product yet — this capability …
Key Takeaways Concentrate and cathode shipments can now be tracked in near-real-time using satellite AIS-based commodity intelligence platforms. Kpler combines 9,000+ AIS receiving stations, port/terminal data, and proprietary analytics to track vessel position, cargo, and ETA for individual …
Key Takeaways Water management planning for tailings and site water is still mostly a consultant-driven, document-based process. AI’s current role is in the monitoring data that feeds the plan, not in writing the plan itself. Platforms like Birdi and Insight Terra fuse prism, drone, …
Key Takeaways The sensors themselves (multiparameter sondes measuring pH, conductivity, turbidity, dissolved oxygen, etc.) are mature, off-the-shelf hardware. YSI EXO sondes and In-Situ multiparameter probes are the two most common choices for continuous mine-site water monitoring. The …
Key Takeaways There’s no dedicated, mining-specific AI product for water quality testing today — this is an honest gap, not an oversight. Results still flow through standard lab LIMS platforms like LabWare. General-purpose ML water-quality-index and anomaly-detection models exist in the …
Key Takeaways Classical XRD phase identification runs on Rietveld refinement — mature, accurate, but computationally slow, especially across large batches. CNN-based deep-learning models can now identify and quantify mineral phases directly from raw XRD patterns, running orders of magnitude faster …
Key Takeaways Portable and lab-bench XRF remain the workhorse tool for rapid elemental analysis in exploration and grade control. Leading instruments include Evident Vanta (handheld) and Bruker TITAN, plus lab-bench systems from Malvern Panalytical and Bruker. The AI layer is “Emerging,” …