Science
Machine learning improves particle accelerator diagnostics – Phys.org
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…
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.
An analysis of the results of the first field test of the custom-built machine learning…
-
Noosa News21 hours agoWoman was watching keepers work when lion attacked, Darling Downs Zoo says
-
Noosa News19 hours agoWorking for someone else made it hard to care for my daughter. So I quit
-
General24 hours agoDeveloper warns wind energy capacity may not be ready by WA coal deadline
-
Noosa News22 hours agoStar Entertainment faces $36.5m blow if Queen’s Wharf deal flops