The Fabricator

How AI is changing weld quality monitoring

Artificial intelligence holds great promise as a tool for boosting quality in the welding department of metal fabricating ...
EDN

How machine vision, intelligent sensing, and edge AI are powering smart factory

The smart factory represents a decisive shift: production environments that can sense, interpret, and adapt in real time.
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.
IEEE

Fine-Grained Image-Text Multi-Modal Learning for Substation Defect Detection

Abstract: To address the challenge of traditional visual image object detection models' difficulty in effectively learning semantic information in substations, this paper proposes a substation ...
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 ...