In this episode, Ray Cochrane digs into Claude Science, Anthropic's new AI workbench for researchers, and explains why its ...

A new self-destructing backdoor called Mistic used in intrusions since April appears to be linked to a criminal gang that ...

Presentation Attack Detection (PAD) systems rely on analyzing facial dynamics, particularly the movement of eyes and mouth regions, to distinguish between live faces and spoofing attempts. Face mask ...

Abstract: Detecting and avoiding potholes is a very challenging task in India due to the poor quality of construction materials used in road privilege systems. Identifying and repairing potholes as ...

Abstract: The development of a real-time railway obstacle detection framework based on an optimized YOLO network to ensure increased safety and operational efficiency by accurate identification of ...

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 ...

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature ...

Machine learning and computer vision technologies based on high-resolution imagery acquired using unmanned aerial systems (UAS) provide a potential for accurate and efficient high-throughput plant ...