Scientists Think This Is the Best Way to Detect AI Slop Imagery

By focusing on six characteristics, the study claims you could reach "near-perfect accuracy" at detecting AI deepfakes.
Tech Xplore

Short training helps people spot AI faces in the battle against deepfake fraud

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
pv magazine International

How to detect low-energy fractures in PV modules

Researchers developed a daylight electroluminescence imaging method that enables detection of low-energy glass cracks in PV ...
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 ...
Edex Live on MSN

Greenwood High alumni win top prize at Purdue AI showcase

Two alumni of Greenwood High International School have secured first place in the poster competition at Purdue University's ...
EurekAlert!

PolyU researchers innovate multi-tier intelligent inspection system for safer and sustainable bridge infrastructure

The rising traffic density and heavier loads on the city’s vast network of bridges and highways have posed challenges to establishing an efficient and reliable inspection system for road safety.
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 ...
Nature

Algorithm for detecting surface defects in wind turbines based on a lightweight YOLO model

One of the major renewable energy sources for powering homes and businesses is wind energy 1,2. The advancement of wind power technology has resulted in the installation of numerous wind turbines.
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 ...
Nature

Automatic defect detection in infrared thermal images of ancient polyptychs based on numerical simulation and a new efficient channel attention mechanism aided Faster R-CNN model

In recent years, the preservation and conservation of ancient cultural heritage necessitate the advancement of sophisticated non-destructive testing methodologies to minimize potential damage to ...
Frontiers

Insulator defect detection based on improved Yolov5s

The stable operation of a power supply system is inseparable from the work of detecting defects in transmission lines. However, the insulator defect detection model based on deep learning is widely ...