The US auto safety regulator said Wednesday it has opened a defect investigation into Tesla Model 3 compact sedans over concerns that emergency door release controls may not be easily accessible or ...

A U.S. automobile safety regulator opened an investigation into Tesla TSLA-2.59%decrease; red down pointing triangle, saying the mechanical door release on the company’s 2022 Tesla Model 3 isn’t ...

ABSTRACT: Internal rail defects present significant safety risks. Acoustic Emission (AE) technology has emerged as a promising technique for detecting these defects. The goal of this research is to ...

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 ...

Obstetricians at Mount Sinai were the first in New York City to use an artificial intelligence tool that can lead to early detection of congenital heart defects in fetuses. Doctors in the Raquel and ...

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...

Germany’s TÜV Report 2026 ranks the Tesla Model Y dead last for reliability among almost-new cars. One in six fails inspection. That should change how you shop. Tesla Model Y ranked last for ...

In this study, a novel prefabricated pizza defect detection method with deep learning technology is proposed, by constructing a proved TCSR-CNN model, based on three parallel convolutional neural ...

Though AI hype dominates headlines, a collaboration between Norfolk Southern and Georgia Tech reveals how AI-powered inspection systems are identifying critical flaws that human inspectors and ...

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...