T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...

HEADQUARTERS IN TOWSON. STOP WALKING. GET ON YOUR KNEES. AN AI GUN DETECTION SYSTEM SENT BALTIMORE COUNTY POLICE TO TWO HIGH SCHOOLS IN THE PAST FEW WEEKS FOR A REPORT ON A WEAPON ON CAMPUS. BOTH TURN ...

This repository contains the source code, scripts, and supplementary materials for the paper: "A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder ...

Abstract: The integration of Network Functions Virtualization (NFV) systems into mobile edge and core networks has heightened the need for effective anomaly detection and localization methods. The ...

ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...

It’s not just you; Battlefield 6 has a hit detection issue. It turns out that there are a couple of bugs in the game that mean that when you point the gun at someone and shoot, sometimes it just doesn ...

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...

CAR-T cell therapy has demonstrated remarkable success in treating hematologic malignancies and is now expanding into solid tumors. On June 1, 2025, The Lancet published positive results from the ...

Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...