PassionIT News

Operators of the primary particle accelerator at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility are getting a new tool to help them quickly address issues that can prevent it from running smoothly. A new machine learning system has passed its first two-week test, correctly identifying glitchy accelerator components and the type of glitches they’re experiencing in near-real-time.
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https://indiaeducationdiary.in/jefferson-lab-mobile-a-new-machine-learning-system-can-correctly-diagnose-particle-accelerator-component-issues-in-real-time/