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Recent research has developed advanced machine learning algorithms that can efficiently control complex systems, leading to better and more efficient machine learning products. These algorithms were tested on digital twins of chaotic electronic circuits and were successful in predicting and controlling their behavior. This breakthrough could have a significant impact on the development of future autonomous technologies.
