This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...

Accidents caused by defective products can be both shocking and overwhelming. Many people assume that if a product is sold on the market, it must be safe to use as intended. Unfortunately, ...

A growing number of academic and industrial research groups regard the integration of artificial intelligence-based algorithms into the 3D printing process as a promising approach to improve the ...

Applied Materials has launched the SEMVision™ H20, a new defect review system designed to enhance the analysis of nanoscale defects in advanced semiconductor chips. This system utilizes cutting-edge ...

Nearly 8 percent of lithium-ion batteries from questionable low-cost brands could have dangerous manufacturing defects. Nearly 8 percent of lithium-ion batteries from questionable low-cost brands ...