The Intelligent Network: How AI Is Rewriting The DNA Of Telecommunications

For two decades, the telecommunications industry has operated on a familiar premise: Build the pipe, push the data and scale ...

How AI helped build hreflang XML sitemaps at scale

Learn how iterative prompting, Python, and Google Colab helped turn a multilingual hreflang mapping project into a scalable workflow.
MUO on MSN

I mapped my smart home traffic, and one device was constantly phoning home

"Ring ring," "Hello?" ...
Tech Xplore

PhishLumos maps phishing infrastructure and finds 190,000 URLs in six months

Researchers from Tokyo Metropolitan University have created a new paradigm for identifying online phishing campaigns. Their ...
Grist

This unfathomably huge fungal network keeps Earth cool and green

Spanning 110 quadrillion kilometers, arbuscular mycorrhizal fungi transport an enormous amount of planet-warming carbon.

Fungi take up more mass than people—see how they stretch across the Earth

Scientists created the first-ever map of this vast underground fungal network and found it could stretch to the sun and back ...

First global map of mycorrhizal fungi reveals true scale of underground networks across the planet

Mycorrhizal fungi form underground networks that sustain plant life and help regulate Earth's climate by drawing carbon into ...
makeuseof

I switched to a local LLM for these 5 tasks and the cloud version hasn't been worth it since

Yadullah Abidi is a Computer Science graduate from the University of Delhi and holds a postgraduate degree in Journalism from the Asian College of Journalism, Chennai. With over a decade of experience ...
Microsoft

Infostealers without borders: macOS, Python stealers, and platform abuse

Infostealer threats are rapidly expanding beyond traditional Windows-focused campaigns, increasingly targeting macOS environments, leveraging cross-platform languages such as Python, and abusing ...
Bleeping Computer

From infostealer to full RAT: dissecting the PureRAT attack chain

An investigation into what appeared at first glance to be a “standard” Python-based infostealer campaign took an interesting turn when it was discovered to culminate in the deployment of a ...
IEEE

Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network

Abstract: Estimating and predicting traffic conditions in arterial networks using probe data has proven to be a substantial challenge. Sparse probe data represent the vast majority of the data ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...