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.

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

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 ...

k-Space Associates, Inc., a provider of advanced metrology and inspection solutions, announced new machine learning capabilities for its kSA Glass Breakage & Defect Detection tool. The enhancement ...

Artificial intelligence is transforming how we live and work, from personalized recommendations to health care innovation.

Main difference between Edge AI and traditional cloud-based AI is how ML models are processed and deployed in both models ...

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 ...

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 ...

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

Researchers have reviewed recent progress in ammonia synthesis via thermal catalysis, electrocatalysis, photocatalysis, and ...

To showcase the launch of its physical AI automation platform at Automate 2026, Universal Robots demonstrated its UR7e robots ...

In today’s rapidly evolving automotive and logistics industries, efficiency, accuracy, and data intelligence have become the core pillars of competitive fleet operations. Traditional manual vehicle ...