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AI Speeds Selective and High-Yield Recovery of Critical Minerals from Industrial Waste

AI Speeds Selective and High-Yield Recovery of Critical Minerals from Industrial Waste
News Provided By
Pacific Northwest National Laboratory
May 27, 2026, 16:56 GMT
RICHLAND, Wash.—A research team at the Department of Energy’s Pacific Northwest National Laboratory has deployed AI agents with the potential to accelerate the recovery of critical minerals from real-world industrial waste in days instead of the months or years required for manual experimentation.
The team, led by PNNL materials scientist Elias Nakouzi, created a semi-autonomous lab tied to a series of specially designed AI ag

原文链接：https://www.einpresswire.com/article/915478755/ai-speeds-selective-and-high-yield-recovery-of-critical-minerals-from-industrial-waste

镁矿选矿人工智能与大数据融合应用 – 豆丁网

智能预警技术，保障选矿生产的安全稳定运行，提高选矿企业的经济效益。人工智能与大数据的融合人工智能（AI）和数据科学的融合为镁矿选矿行业带来了革命性的提升。大数据的可用性和计算能力的提高，使得人工智能技
能够从海量数据中提取有价值的见解，从而优化选矿工艺和决策制定。数据收集与管理大数据收集和管理是人工智能应用的基础。通过各种传感器、测量仪表和业务系统，可以收集有关选矿工艺的实时和历史数据，包括： * 原

原文链接：https://www.docin.com/touch_new/preview_new.do?id=4696396480

镁矿开采综合机械化与自动化提升 – 豆丁网

系统 1.建立覆盖矿区的远程监控网络，实时监测开采作业和设备状态，实现远程预警和控制。 2.利用大数据分析和AI算法，对监控数据进行处理和分析，及时发现异常情况并制定预案。 3.通过远程操控技术，对开采设备进行远程
作和维护，提升管理效率并降低安全风险。自动化技术在镁矿开采中的应用 1.在矿区部署物联网传感器，实时采集矿场环境、设备状态和生产数据，实现矿场数字化。 2.通过云平台和数据分析，对采集的数据进行处理和分析，挖

原文链接：https://www.docin.com/touch_new/preview_new.do?id=4653263801

AI giúp Trung Quốc giảm mạnh thời gian thăm dò khoáng sản – Tuổi Trẻ Online

15/09/2026 14:00 GMT+7
AI giúp Trung Quốc giảm mạnh thời gian thăm dò khoáng sản
TTXVN
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Trung Quốc vừa giới thiệu hai hệ thống ứng dụng AI trong thăm dò khoáng sản và lập bản đồ địa chất. Dữ liệu thử nghiệm cho thấy quy trình dự báo và đánh giá khoáng sản vốn từng mất tới nửa năm nay có thể hoàn tất chỉ trong vòng một tuần.
Các chuyên gia thuộc Cục Khảo sát Địa chất Trung Quốc đang làm việc tại mỏ khoáng sản đất hiếm ở tỉnh Vân Nam, Tây Nam Trung Quốc – Ản

原文链接：https://tuoitre.vn/ai-giup-trung-quoc-giam-manh-thoi-gian-tham-do-khoang-san-100260915194157533.htm

[AI for All] AI Tech Redefines Intelligent Mining Operations

[AI for All] AI Tech Redefines Intelligent Mining Operations
Updated: September 07, 2026
The Yuanjiacun mine, which is under the management of China Baowu Steel Group Corporation Limited, has an annual iron concentrate output of approximately 8 million metric tons. The mine, which is located in Lan County of North China’s Shanxi Province, is undergoing an in-depth transformation driven by artificial intelligence technologies.
A bank of screens gives a comprehensive view of what is going on in the Yuanjiacun mine. [Photo/sasac.gov.cn]
Mineral processing is a crucial link in mining, so its smart

原文链接：http://en.sasac.gov.cn/2026/09/07/c_21058.htm

数字孪生“上岗”一年：杜加尔河以AI技术提升选矿运营水平

数字孪生“上岗”一年：杜加尔河以AI技术提升选矿运营水平
新浪财经
2026-07-17 15:39·北京·优质财经领域创作者
来源：市场资讯
（来源：五矿资源）
想象一下，在选矿厂里，有一位全天候在线的“智能助手”：它持续观察生产过程，实时分析入选矿石的变化，并自动调整工厂运行参数，帮助每一吨矿石释放出更多价值。
在杜加尔河矿山，这一场景已经成为现实。
今年7月，杜加尔河迎来人工智能驱动的数字孪生系统投运一周年。这套系统围绕选矿厂
本文作者：新浪财经

原文链接：https://c.m.163.com/news/a/L224K2NE05568W0A.html

Deep learning-driven autonomous spodumene flotation: Integrating theoretical modeling and YOLOv11-M vision systems with semi-industrial trial validation

l Engineering, Northeastern University, 110819, Shenyang, China
2, State Key Laboratory of Mineral Processing, 110819, Shenyang, China
3, National-Local Joint Engineering Research Center of High-Efficient Exploitation Technology for Refractory Iron Ore Resources, 110819, Shenyang, China
a zhuyimin@mail.neu.edu.cn
History +
Received Accepted Published Online
9 Feb 2026 15 May 2026 24 Aug 2026
PDF
Abstract
Driven by the global energy transition and industrial intelligence, the mining industry is evolving towards smarter and more efficient methods. In mineral processing, particularly flotation, t

原文链接：https://journal.hep.com.cn/ijmmm/EN/10.1007/s12613-026-3494-6