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

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

Abstract: Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and recognition are ...

"Exploring the frontiers of Dynamic Intelligence in YOLO." This work represents our passionate exploration into the evolution of Real-Time Object Detection (RTOD). To the best of our knowledge, ...

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% ...

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. In 1966 ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Consumer behavior is shifting again—but this time, the forces driving the change are more paradoxical, more emotional, and more culturally revealing than anything we saw in the last decade. After ...

Ph.D. student Parastoo Farajpoor and Digital Agriculture Laboratory Director Alireza Pourreza using the Leaf Monitor tool in a Bullseye Farms almond orchard near Davis. The AI-based tool can measure ...