The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world ...

When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

The robotics industry is experiencing a transformation driven by advancements in artificial intelligence, automation, and ...

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

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.

The number of defects detected through inspection is exploding at each new process node. There are now millions of defects being identified on each wafer, but only a fraction of those can cause ...

In this era of digital transformation, buzzwords like ‘Industry 4.0’ and ‘digitalization’ have become part of our daily vocabulary. But behind these trendy terms lies a potent technological innovation ...

At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery ...

The In-Sight 3800 can inspect up to 1,200 parts per minute, leveraging multi-torch illumination for enhanced surface contrast. Built on hybrid AI, it merges AI-based edge learning with rule-based ...