Residential building defects have emerged as a critical concern for the construction industry worldwide, impacting both economic outcomes and occupant well‐being. Contemporary research has underlined ...

Chipmakers are using more and different traditional tool types than ever to find killer defects in advanced chips, but they are also turning to complementary solutions like advanced forms of machine ...

Tokyo, Japan – Scientists from Tokyo Metropolitan University have used machine learning to automate the identification of defects in sister chromatid cohesion. They trained a convolutional neural ...