Australian Mining

How TrackDefectX has changed the game for rail maintenance

Hancock Iron Ore is transforming rail safety and maintenance with its AI-powered TrackDefectX defect-detection system.
The Fabricator

Using acoustic sensing and AI to detect MIG welding defects

The founding team of CEO Sophia Millar, Chief Technical Officer George Hallo, and Chief Product Officer Hooman Piroux originally got the idea to use sound to identify weld defects from a job shop ...
UC San Francisco

Fetal Heart Defect Detection Improved by Using Machine Learning

UC San Francisco researchers have found a way to double doctors’ accuracy in detecting the vast majority of complex fetal heart defects in utero – when interventions could either correct them or ...
Semiconductor Engineering

Fabs Drive Deeper Into Machine Learning

Advanced machine learning is beginning to make inroads into yield enhancement methodology as fabs and equipment makers seek to identify defectivity patterns in wafer images with greater accuracy and ...
Semiconductor Engineering

Using Automatic Defect Classification To Reduce The Escape Rate Of Defects

Automated optical inspection (AOI) is a cornerstone in semiconductor manufacturing, assembly and testing facilities, and as such, it plays a crucial role in yield management and process control.