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

Abstract: The focus of this research is to use deep learning models to advance PCB (printed circuit board) panel defect detection in industrial manufacturing, in particular to evaluate and compare the ...

This software is a research prototype, solely developed for and published as part of the publication MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot ...

In software testing, keeping the user interface consistent and error-free requires regular checks after every update. Teams ...

Researchers have published research detailing their development of an AI framework to detect defects in additively ...

Smart manufacturing technologies, such as digital tools and connected systems, can improve visibility, performance and ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Artificial intelligence is reshaping additive manufacturing by enabling real-time process optimization, automated design generation, and advanced quality control. From aerospace to food production, AI ...

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

Abstract: Defects occurring in manufacturing processes can lead to customer dissatisfaction, reduced product quality, and increased operational costs. Accurately predicting product defects is critical ...