• AI techniques like neural networks and fuzzy logic significantly improve mineral processing efficiency and recovery.
• Real-time control and optimization using AI can reduce energy consumption and operational costs.
• Challenges include data scarcity, model interpretability, and integration with existing plant systems.
• Future directions include hybrid AI models, digital twins, and fully autonomous mineral processing plants.