Machine learning stabilizes high-power laser at Berkeley Lab

Researchers at Lawrence Berkeley National Laboratory have stabilized a high-power laser using machine learning, improving its performance. This advancement could accelerate progress in various scientific fields. The team's machine learning system predicts and corrects laser beam "jitter," caused by vibrations, by making real-time adjustments to the laser's optical components. This approach significantly reduced pointing errors in tests. This new technology, tested with a "pilot" laser, is expected to improve laser stabilization and has potential applications in laser-plasma accelerators and inertial fusion research.