A technical paper titled "Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks" was published by researchers at Chemnitz University of Technology (Germany).
According to the paper, "this contribution introduces a novel hybrid multistage system of stacked deep neural networks (SH-DNN) which allows the localization...
» read more