Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Carbon materials, such as carbon fibers and activated carbons, are essential across a wide variety of fields, encompassing everything from aerospace engineering to fuel cells and thermal insulation.
By focusing on six characteristics, the study claims you could reach "near-perfect accuracy" at detecting AI deepfakes.
Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
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.
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 ...
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 ...
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 ...
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