Defect detection automated in diamond, other advanced semiconductors

Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in ...
Phys.org

Deep learning automates defect detection in 2D materials

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...
Business Wire

GelSight Revolutionizes Defect Detection with GelSight Mobile™ 3.5 Software Update

WALTHAM, Mass.--(BUSINESS WIRE)--GelSight, a pioneer in tactile intelligence technology, today announced the release of its GelSight Mobile™ 3.5 software package, with new automated functionality and ...
Fabbaloo

Deep Learning Spots 3D Print Defects In Process

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
Hackaday

Feeling The Heat: Railway Defect Detection

On the technology spectrum, railroads would certainly seem to skew toward the brutally simplistic side of things. A couple of strips of steel, some wooden ties and gravel ballast to keep everything in ...
Semiconductor Engineering

Achieving Zero Defect Manufacturing Part 1: Detect & Classify

Whether the discussion is about smart manufacturing or digital transformation, one of the biggest conversations in the semiconductor industry today centers on the tremendous amount of data fabs ...
Semiconductor Engineering

Identifying PCB Defects with a Deep Learning Single-Step Detection Model

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 ...