The vandalism and graffiti stretched out block after block across downtown Los Angeles: 'Remove Trumps head!!' was scrawled on the front facade of Los Angeles County Law Library.

We explore how these models enable feature extraction, anomaly detection, and classification across diverse signal types, including electrocardiograms, radar waveforms, and IoT sensor data.

Jang et al. [36] introduced a Convolutional Variational Autoencoder (CVAE) that models the variability in ECG patterns through learned latent distributions, facilitating clustering and anomaly ...

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection systems.

Acceldata, a leading provider of data observability and agentic data management solutions, is announcing a new capability designed to amplify the power of agentic reasoning within the company's xLake ...

CBS News Los Angeles In efforts to make Metro safer for riders and operators, the transit system rolled out new weapons detection technology that it is testing at two stations in hopes of finding ...

Developed an AI-powered anomaly detection system using Conditional Variational Autoencoder (CVAE) to detect and mitigate cyber-physical attacks in Water Distribution Systems (WDS).

Transformer outages significantly impact the reliability and cost efficiency of power systems. Studies indicate that approximately 30% of transformer failures stem from issues with on-load tap ...

Bay Area start-up Torch Sensors introduces revolutionary solar-powered fire detection technology to protect communities and critical infrastructure.

Emerging Tech CBP still working toward anomaly detection algorithms at the border A series of privacy threshold analyses were recently released by the agency.