Cloud Validation Expert Shields Healthcare Claims from Errors

Healthcare claims often fail due to small data errors. Mukesh Kumar Mishra has built cloud-based validation and anomaly ...
IEEE

LogiCode: An LLM-Driven Framework for Logical Anomaly Detection

Abstract: This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond the traditional focus on ...
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 ...
Geeky Gadgets

Python in Excel : Easily Unlock Advanced Data Analytics

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...
GitHub

Anomaly Detection in Large-Scale Cloud Systems

This repository contains the code implementation for the ICSE SEIP 2025 paper titled "Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset." The preprint for the paper is ...
Bleeping Computer

OpenAI confirms threat actors use ChatGPT to write malware

OpenAI has disrupted over 20 malicious cyber operations abusing its AI-powered chatbot, ChatGPT, for debugging and developing malware, spreading misinformation, evading detection, and conducting spear ...
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 ...