How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
IEEE

Deep Learning for Video Anomaly Detection: A Review

Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...
AZoRobotics

Can AI Run Its Own Data Centers?

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...
Psychology Today

Anomaly Puzzles: How the Brain Detects the Unexpected

These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...
IEEE

PGTAD: Real-Time and Lightweight Multivariate Time-Series Anomaly Detection for IoT Using Patch Gate GRU Autoencoder

Abstract: The escalating diversity of Internet of Things (IoT) devices has intensified security challenges, as signature-based and heavyweight machine learning (ML) defenses often fall short in ...
GitHub

TDAAD – Topological Data Analysis for Anomaly Detection

TDAAD is a Python package for unsupervised anomaly detection in multivariate time series using Topological Data Analysis (TDA). Website and documentation: https://irt-systemx.github.io/tdaad/ ...