Due to the complexity of hotel operation processes, abnormal situations are inevitable, making proactive anomaly prediction essential for ensuring operational stability. Although current deep learning ...

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While Yann LeCun was still Meta’s Chief AI Scientist, he proposed the Joint-Embedding Predictive Architecture, or JEPA, which essentially teaches an AI to infer the meaning of missing data rather than ...

SAN JOSE, Calif., Dec. 09, 2025 (GLOBE NEWSWIRE) -- DTEX, the trusted leader in insider risk management, announced today its integration with Amazon Web Services (AWS) Security Hub. The integration ...

South Korean e-commerce platform Coupang over the weekend said nearly 34 million Korean customers’ personal information had been leaked in a data breach that had been ongoing for more than five months ...

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 ...

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?

GenAI and ML workloads are causing a ramp up in silent data corruption. Multi-stage detection with on-chip, AI-based telemetry offers smarter fault prevention. As transistor geometries shrink and ...

A weak spot in the Earth's magnetic field is growing over the South Atlantic Ocean, according to more than a decade's worth of satellite data collected by scientists. The magnetic field surrounding ...