AI transforms noise into useful tool for oscillator synchronization
phys.org — July 26, 2024, 06:00 PM UTC
Summary: 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.
Article metrics
The article metrics are deprecated.
I'm replacing the original 8-factor scoring system with a new and improved one. It doesn't use the original factors and gives much better significance scores.