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 ...

Home service robots may soon be able to determine on their own whether a frequently used item has gone missing, whether ...

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

The Ukrainian-Estonian company Farsight Vision has presented a major update to its neural network model for automated image analysis. The company told this to Militarnyi. The key feature of the new ...

Few-shot object detection addresses the challenge of recognising and localising novel object categories from only a handful of annotated examples. Traditional deep-learning detectors demand extensive ...

Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative ...

Android Malware Detected Using Machine Learning to Automatically Detect and Click on Ads The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live ...

Abstract: This paper presents an enhanced approach to real-time object detection, addressing challenges such as movement dynamics and environmental variability. The proposed method employs transfer ...

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...