In industries where compliance violations can directly impact customer health, this becomes incredibly important.

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.

Many smaller manufacturers assume they are already behind. But in truth, most of the industry is still early in the AI ...

The automaker is embedding AI across its value chain, from analysing 1.6 billion customer interactions and designing software ...

UVeye, the global leader in vehicle data intelligence, today announced an integration with CARFAX, the leading provider of vehicle history data, to bring trusted vehicle service history directly into ...

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

The collaboration connects research lab optimisation with talent pipeline for industry needs. The National University of Singapore (NUS) is working with Applied Materials to use artificial ...

A fatal Tesla Autopilot crash led to a yearslong fight over missing data, becoming one of the most consequential lawsuits in ...

Abstract: Given the huge installed capacity of photovoltaic (PV) worldwide, the traditional defect detection system for PV plants is infeasible, especially for large-scale plants. In this article, ...

For years, "AI adoption" was treated as a single number you could track on a slide: some percentage of companies "using AI," ticking upward every quarter. That number is almost meaningless now. What's ...

Abstract: Road pothole detection is significant for road maintenance which has been widely solved based on computer vision models in recent years. However, the accuracy of the pothole detection is ...