AI Development to Enhance US Critical Minerals Supply Chain
The National Laboratory of the Rockies is developing an AI system, CM2US, to optimize US mining operations for critical minerals. This initiative aims to enhance resource allocation, improve yields, and adapt supply chains to disruptions in a rapidly evolving industry.
Theia Market Signal Identification - AI Assisted
Researchers at the National Laboratory of the Rockies are working on an AI system named CM2US aimed at optimizing mining operations for critical minerals in the U.S. The system is designed to improve resource allocation, decision-making in mining and processing, and supply chain management amidst potential disruptions from geopolitical factors and resource depletion.
This AI will analyze large datasets to aid exploration, dynamically adjust processing based on real-time ore composition, and could potentially customize output to meet specific customer requirements. The implications of this technology could significantly enhance the resilience of the critical minerals supply chain, allowing for a more flexible response to changing market conditions.
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