North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
GitHub

The Numenta Anomaly Benchmark

The Numenta Anomaly Benchmark Welcome. This repository contains the data and scripts comprising the Numenta Anomaly Benchmark (NAB). NAB is a novel benchmark for evaluating algorithms for anomaly ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

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, ...
IEEE

Multimodal Industrial Anomaly Detection via Attention-Enhanced Memory-Guided Network

Abstract: Anomaly detection is a key technology in quality control for automated production lines. Currently, 2D-based anomaly detection methods fail to identify geometric structure anomalies in ...
VentureBeat

AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
Hacker

An Overview of Log-Based Anomaly Detection Techniques

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?
IEEE

E-Log: Fine-Grained Elastic Log-Based Anomaly Detection and Diagnosis for Databases

Abstract: Database Management Systems (DBMS) form the backbone of modern large-scale software systems, where reliable anomaly detection and diagnosis are essential for ensuring system availability.
marktechpost

Run MATLAB-Style Code Inside Python by Connecting Octave with the oct2py Library

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...
Computer Weekly

Splunk.conf: Cisco and Splunk expand agentic SOC vision

At Splunk’s annual .Conf event, the Cisco-backed observability and data security specialist made its first run at the agentic artificial intelligence (AI) enhanced security operations centre (SOC), ...
Network World

Cisco’s Splunk embeds agentic AI into security and observability products

Splunk, a Cisco company, unveiled at its .conf25 conference this week, agentic AI-powered security and observability capabilities designed to automate threat response, streamline IT operations, and ...
Deep

Splunk Enterprise Security 8.2 Gets Agentic AI Features for Faster Threat Detection & Response

Cisco introduced Splunk Enterprise Security Essentials Edition and Splunk Enterprise Security Premier Edition, providing customers two agentic AI-powered SecOps options that unify security workflows ...