Miasma worms its way onto GitHub as attack kit goes open source

As if the Miasma situation weren't bad enough, now this weapon is spreading like wildfire. Someone open sourced the entire ...
Hosted on MSN

AI Teams in 2026 Close the Semantic Gap with Continuous LLM Validation

In 2026, organizations are tackling the “semantic gap” in AI outputs by embedding LLM-as-judge evaluations, multi-prompt chains, and human oversight directly into CI/CD pipelines. Tools like Vellum, ...
GitHub

[WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2

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 ...
IEEE

ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning

Abstract: Detecting unexpected objects (anomalies) in real time has great potential for monitoring, managing, and protecting the environment. Hyperspectral line-scan cameras are a low-cost solution ...
Visual Studio Magazine

Data Anomaly Detection Using LightGBM

Get Code Download If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...
Microsoft

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

The advent of large language models (LLMs) has revolutionized human-machine interactions, particularly in natural language understanding and generation applications. These AI- or LLM-backed virtual ...
IEEE

Anomaly Detection, Localization and Classification Using Drifting Synchrophasor Data Streams

Abstract: With ongoing automation and digitization of the electric power system, several Phasor Measurement Units (PMUs) have been deployed for monitoring and control. PMU data can have multiple ...