Meta’s AI Detector Can’t Detect Images It Generated Itself, Report Finds

Meta’s new AI detection tool isn’t working entirely as advertised, according to a new report. Meta debuted its first image ...

Study raises concerns about AI health-prediction models trained on unreliable datasets

Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, ...
IEEE

Automated Sewer Defects Detection Using Style-Based Generative Adversarial Networks and Fine-Tuned Well-Known CNN Classifier

Abstract: Automated sewer defects detection has become an important trend for better management and maintenance of urban sewer systems. Deep learning technology has developed rapidly and offers an ...
CNN

Tired of subway delays? The MTA wants to fix that by strapping Google smartphones to New York trains

Rob Sarno has been with the New York City’s Metropolitan Transportation Authority (MTA) for 14 years. As assistant chief track officer, he assists maintenance and emergency response — which also meant ...
Scientific Research Publishing

Defect Detection in Manufacturing: An Integrated Deep Learning Approach ()

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
IEEE

An Aggressively Pruned CNN Model With Visual Attention for Near Real-Time Wood Defects Detection on Embedded Processors

Abstract: The use of Convolutional Neural Networks (CNN) for the application of wood defects detection has gained significant attention in recent years. In industrial settings, these tasks are ...