Explore how six smart Singapore factories are using advanced technologies to gain global recognition in manufacturing. Read ...

Researchers at The University of Manchester have built a machine-learning model that prevents simulated molecules from flying ...

A new model measures defects that can be leveraged to improve materials' mechanical strength, heat transfer, and ...

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...

Abstract: Semiconductor manufacturing process involves various steps: fabrication of Wafers, testing of wafers, assembly of each single die and package level final test. Out of which, testing of wafer ...

Abstract: Printed Circuit Boards are mostly seen in all electronic products in daily life. PCBs are easily rejected due to different kinds of defects that slow down the manufacturing process. Defects ...

Researchers report a machine learning approach to predict LPBF defects from up-skin and down-skin angles, suggesting there might be angle-aware process control for metal AM. Laser Powder Bed Fusion ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...