1. Machine learning enhances light-beam performance at the advanced light source  EurekAlert
  2. Light-Beam Performance at the Advanced Light Source Synchrotron Enhanced by Machine Learning  SciTechDaily
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A team of researchers at Berkeley Lab and UC Berkeley has successfully demonstrated how machine-learning tools can improve the stability of light beams' size for science experiments at a synchrotron light source via adjustments that largely cancel out unwanted fluctuations.A team of researchers at Berkeley Lab and UC Berkeley has successfully demonstrated how machine-learning tools can improve the stability of light beams' size for science experiments at a synchrotron light source via adjustments that largely cancel out unwanted fluctuations.

Machine learning enhances light-beam performance at the advanced light source | EurekAlert! Science News

Successful demonstration of algorithm by Berkeley Lab-University of California Berkeley, team shows technique could be viable for scientific light sources around the globe. Synchrotron light sources are powerful facilities that produce light in a variety of "colors," or wavelengths — from the infra

Light-Beam Performance at the Advanced Light Source Synchrotron Enhanced by Machine Learning

Light-Beam Performance at the Advanced Light Source Synchrotron Enhanced by Machine Learning