Ahead of Google’s Android 16 launch next week, the company said on Tuesday that it is expanding its recently launched AI flagging feature for the Google Messages app, known as Scam Detection ...

Therefore, it is of great significance to study the anomaly detection method for UAV systems. In this study, unsupervised neural network models called Autoencoders (AE) and Variational Autoencoders ...

Global growth is projected to decline after a period of steady but underwhelming performance, amid policy shifts and new uncertainties. Global headline inflation is expected to decline further, ...

However, using quantum computing for solving anomaly detection problems in time series data is a widely unexplored research field. This paper explores the application of quantum autoencoders to time ...

Abstract: Multi-view anomaly detection (AD) is a challenging task due to the complicated ... To get rid of the clustering assumption, we propose a Cross-aligned and Gumbel-refactored AutoEncoders ...

[Li2024] Anomaly Detection of Tabular Data Using LLMs in IJCAI-W, 2024. [paper] [code] [Tsai2025] AnoLLM: Large Language Models for Tabular Anomaly Detection in ICLR, 2025. [paper] [code] [Chen2025] ...

A hybrid deep learning approach for zero-day attacks, network intrusion detection using autoencoders and LSTM with attention mechanism. The system combines unsupervised and supervised learning ...