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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 ...
A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.
Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...
The common engineering ceramic materials can be identified as Aluminium Oxide (Alumina), Silicon Carbide, Silicon Nitride, Sialon and Zirconia. These materials are classified as “Engineering” or ...
Machine learning (ML) has emerged as a powerful tool for studying the properties of condensed matter. To date, most research has focused on the bulk properties of solids, however, defects are ...
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