Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...

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

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

Abstract: Automated optical inspection (AOI) is widely used by manufacturers for the detection of defects in printed circuit boards (PCBs). Recent works have proposed to apply deep learning for defect ...

Abstract: Visual inspections of aircraft are a vital aspect of aircraft maintenance. They involve ground personnel walking around the aircraft, mounting scaffolding or ladders, and fully inspecting ...