AI transforms noise into useful tool for oscillator synchronization

Researchers at Fudan University have demonstrated that AI can transform random noise into a useful tool for synchronizing physical oscillators, as published in Physical Review E. This study reveals that machine-learning-generated noise can enhance energy-saving synchrony, potentially benefiting energy regulators and power grid management. The findings highlight a novel approach to utilizing noise in complex systems, advancing the understanding of dynamical behaviors in nonlinear physics.