A Study on the Application of Artificial Intelligence in Mineral Processing and Metallurgy

• AI-driven models improve flotation recovery by up to 15% and reduce energy consumption by 10%. • A novel hybrid AI framework integrates real-time sensor data for adaptive process control. • The proposed approach outperforms traditional methods in predicting product quality with 95% accuracy. • Implementation of AI in mineral processing can lead to significant economic and environmental benefits.