Tech Xplore on MSN

AI-based model measures atomic defects in materials

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...
EurekAlert!

Novel image-based model enhances the detection of surface defects in low-light industrial settings

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in ...
Nanowerk

Researchers use AI to uncover atomic defects in materials

A new model measures defects that can be leveraged to improve materials' mechanical strength, heat transfer, and ...
pv magazine International

Ensemble deep learning for PV cell defect detection

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...
Semiconductor Engineering

Comparison Of State-Of-The-Art Models For Socket Pin Defect Detection

This article is adapted from a presentation at TestConX, March 5-8, 2023, Mesa, AZ, by Vijayakumar Thangamariappan, Nidhi Agrawal, Jason Kim, Constantinos Xanthopoulos, Ira Leventhal, and Ken Butler, ...
Automation World

Transforming Defect Detection and Root Cause Analysis with GenAI

What if manufacturing companies could pinpoint the exact cause of a defect the moment it occurs, preventing costly production delays and ensuring top-notch quality? Generative artificial intelligence ...
Semiconductor Engineering

Hunting For Macro Defects

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...