A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

Qihoo 360 founder Zhou Hongyi says China now has its own version of Claude Mythos, a vulnerability-hunting AI called Tulong ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

US-DATA, a data annotation company specializing in machine learning and computer vision projects, announces the expansion of ...

YOLO stands for 'You Only Look Once'. From self-driving cars to security surveillance systems and medical imaging, YOLO has become one of the most powerful object detection models in the history of ...

Researchers have developed DBAL-YOLO, a novel deep learning-based framework that automatically converts non-digital engineering drawings into 3D Building Information Models (BIM). Achieving 98.8% ...

We asked readers to share the items they’ve held on to as reminders of love. The responses ranged from uplifting and funny to heartachingly sad. Share full article Many of the keepsakes that readers ...

Abstract: This paper explores methods for improving the training and inference performance of a Sigma-Delta spiking object detector by applying a series of training techniques and optimization ...

Detecting objects is an important challenge in computer vision. Its primary function is to identify objects of interest in each frame in a video or in images. Objects are typically represented by ...

YOLO (You Only Look Once) is one of the most influential algorithms in the field of computer vision, specifically designed for real-time object detection. Unlike traditional approaches that first ...

Abstract: Object detection technology for UAV images holds significant importance in various fields. However, many existing object detection algorithms suffer from limited detection accuracy, along ...