Abstract: Abstract: In recent times, deep learning has emerged as one of the powerful tools in the process of object detection. The deep learning algorithms that are used in object detection are ...

a laptop screen with a webpage of the IT Army of Ukraine group of volunteer hackers. The IT Army of Ukraine first set up in the wake of Russia's devastating attack, and has since hugely grown in ...

Abstract: Object detection using visible-infrared images has become increasingly crucial for all-day applications of uncrewed aerial vehicles (UAVs). However, existing multimodal detection methods ...

Researchers identified what they believe is the first documented case of a ransomware operation, JadePuffer, conducted ...

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...

Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.

RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...

Instead of scripts, agents can use simple stories to coach price sensitive sellers on the difference between tools and execution. A POWER AGENT® in our coaching call was about to lose a listing to a ...

Vision transformers (ViTs) are emerging as promising deep learning models in medical imaging, with potential applications in the detection and diagnosis of AD. Objective: This review systematically ...

The Long March 2F carrying the uncrewed Shenzhou-22 spacecraft climbs into a blue sky above Jiuquan spaceport, Nov. 25, 2025. Credit: CASC HELSINKI — China’s secretive spaceplane has released an ...