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A team from Princeton has developed a machine learning method to control plasma edge bursts in fusion reactors, achieving high performance without instabilities and reducing computation times dramatically for real-time system adjustments. This approach has the potential to quickly quash plasma instabilities and maintain a high-performing plasma without sacrificing performance.