University of Michigan: Augmented Reality for Testing Nuclear Components
September 24, 2021
September 24, 2021
ANN ARBOR, Michigan, Sept. 24 (TNSRes) -- The University of Michigan issued the following news release:
* * *
A new machine learning platform detects and quantifies radiation-induced defects instantaneously and could be extended to interpret other microscopy data
* * *
A new machine vision system for testing materials and parts for nuclear reactors shows damage, such as swelling and defects due to radiation, in real time. It could speed up the . . .
* * *
A new machine learning platform detects and quantifies radiation-induced defects instantaneously and could be extended to interpret other microscopy data
* * *
A new machine vision system for testing materials and parts for nuclear reactors shows damage, such as swelling and defects due to radiation, in real time. It could speed up the . . .