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 ...

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 ...

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

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 ...

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 ...

Abstract: Solar power has become an attractive alternative of electricity energy. Solar cells that form the basis of a solar power system are mainly based on multicrystalline silicon. A set of solar ...

Founder, CTO and COO @ Buzz Solutions Utility inspections were once human-led events, typically scheduled annually or ...