AI-driven system enhances manufacturing speed and quality

Researchers at the University of Virginia have made a significant advancement in manufacturing technology by developing an AI-driven system that could transform how factories operate. Using Multi-Agent Reinforcement Learning (MARL), the team has created a more efficient way to optimize manufacturing systems, improving both speed and quality while reducing waste.

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