Abstract: This paper presents FedNAS, a novel federated learning (FL) framework designed for robust and personalized models to detect anomalies at distributed electric vehicle charging stations (EVCSs ...

Why automation resonates with IT teams Organizations are integrating AI into areas like performance monitoring, anomaly detection, capacity planning, and troubleshooting to support essential ...

A new report from ReversingLabs identified a new tactic by North Korean hackers: feeding malicious code to the AI systems ...

This is the official code to reproduce the experiments in the paper AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2, accepted at IEEE/CVF Winter Conference on Applications of ...

Automation that actually understands your homelab.

A closely watched clinical trial in Britain that screened blood for early detection of cancer did not show a reduction in diagnoses at later stages of the disease. By Rebecca Robbins and Gina Kolata A ...

Once you snatch those Scary Shawarma Kiosk: the ANOMALY codes, nothing will go wrong, or will it? There's a reason no one likes night shifts. Something's off about this place. The meat occasionally ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

A complete end-to-end Streaming Data Analytics (SDA) project that generates real-time weather data, applies SDA filters (Moving Average, EWMA), detects anomalies using Isolation Forest, and visualizes ...