Scientists at the Princeton Plasma Physics Laboratory are making significant progress in using artificial intelligence to enhance fusion research, aiming to generate clean and reliable energy from plasma. Machine learning is being used to analyze data, learn from new knowledge, and adapt, which could improve control over fusion reactions, vessel design, heating methods, and reaction stability. Researchers have achieved results such as avoiding magnetic perturbations and deploying machine learning code on two tokamaks, demonstrating its versatility and potential.