The Iranian government uses the threat of sea mines to control access to the Strait of Hormuz, a narrow sea lane that is ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

Febraury 10, 2026—Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organisations flag more ...

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 ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...

Label-Efficient 3D Object Detection is a set of techniques designed to train 3D object detection models using minimal labeled data. These methods leverage strategies like semi-supervised learning, ...