She also found herself fascinated by his contributions to the burgeoning field of AI detection. “He’s really the father of digital forensics, which is the art of understanding image manipulation,” she ...

This study presents the development of an intelligent concrete crack detection system using Convolutional Neural Networks (CNNs) implemented in Python within a Jupyter Notebook. The research employs ...

The research team has developed a pioneering crack detection technology ... to create a system capable of analyzing bridge surface images and identifying cracks with high precision.

but what is lost is the understanding of the loading conditions when the crack emerged, or what forces the sample was exposed to," Kolinski explains. "Our innovative imaging method has made it ...

drug development and deepfake detection, are gaining attention for their ability to spot the finest of patterns and discrepancies in massive volumes of data. Training the algorithms on datasets of ...

To assess the effectiveness of current A.I.-detection technology, The New York Times tested five new services using more than 100 synthetic images and real photos. The results show that the ...

Security researchers at ReversingLabs have discovered a novel attack that used compiled Python code to evade detection. According to ReversingLabs reverse engineer Karlo Zanki, this could be the first ...

This package provides an automated crack detection for tunneling off ... method and extensions of it as well as image preprocessing functions. To install CrackDect, check at first the prerequisites of ...