Semiconductor Engineering

Smart Test Collides With The Data Chain

The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and ...
Fabbaloo

Computer Vision And ML Defect Detection In Concrete AM

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.
Assembly Magazine

Machine Learning Detects Fastening Errors

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
Morning Overview on MSN

BMW uses AI to cut defects and boost efficiency in EV battery cell output

BMW researchers have demonstrated that camera-based inspection systems can catch manufacturing flaws in battery electrodes before those flaws ever reach a finished cell, according to a peer-reviewed ...
IEEE

SEM-CLIP 2.0: Precise Zero-/Few-Shot Learning for Nanoscale Defect Detection in SEM Image

Abstract: In integrated circuit manufacturing, detecting and classifying stochastic morphological wafer surface defects is crucial for root cause analysis and yield enhancement. Complex background ...
pv magazine International

US researchers use machine learning to detect hidden solar array defects

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
pv-magazine-usa

Machine learning models identify hidden physical defects in solar arrays

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...
IEEE

Machine Learning-Based Defect Detection, Output Matching Assessment, and Performance Recentering of a 79-GHz Four-Way CMOS Power Amplifier

Abstract: This work proposes the use of machine learning-based techniques for enhanced testability and performance calibration of an industrial 79-GHz power amplifier (PA) designed for an automotive ...
Scientific Research Publishing

Cheng, J.C.P. and Wang, M. (2018) Automated Detection of Sewer Pipe Defects in Closed-Circuit Television Images Using Deep Learning Techniques. Automation in Construction, 95 ...

ABSTRACT: Regular pipeline inspections are crucial for timely identification of critical defects and ensuring pipeline integrity. To address the challenges of detecting defects in PE gas pipelines ...