Abstract: The rapid development of self-driving vehicles requires integrating a sophisticated sensing system to address the various obstacles posed by road traffic efficiently. While several datasets ...

Abstract: In recent years, the deep learning object detection algorithms using 2D images have become the powerful tools for road object detection in autonomous driving. In fact, the deep learning ...

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Maritime Object Detection, Tracking and Re-Identification This project focuses on developing an intelligent maritime surveillance system using Deep Learning and Computer Vision techniques. The system ...

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive ...

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 ...

Orbbec presented industrial-grade 3D cameras for challenging automation scenarios, as well as AI integration for enhanced ...

Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

AI humanizers promise to make AI-generated text sound more natural. Learn how they work, why they're popular, and whether ...

Q.ANT successfully demonstrated a diffusion model and a recurrent neural network on its second-generation Native Processing Unit (NPU) at ISC High Performance 2026 in Hamburg. This proves that Q.ANT’s ...

In industries where compliance violations can directly impact customer health, this becomes incredibly important.