What just happened? The Linux kernel is once again approaching a new numeric milestone, though as Linus Torvalds would remind observers, the version number is mostly symbolic. The long-running ...

Abstract: Semantic mapping aims to construct a 3D semantic representation of the environment, providing essential knowledge for robots operating in complex outdoor settings. While Bayesian Kernel ...

The stable release of Linux Kernel 6.18 was officially tagged on November 30, 2025. It’s expected to become this year’s major long-term support (LTS) kernel, something many users and distributions ...

NOTE: This article was published yesterday (30/10/2025), but due to some technical issues it went offline. Microsoft has officially added Python 3.14 to Azure App Service for Linux. Developers can now ...

Microsoft was hit with an outage affecting its Azure and 365 services hours before the company was scheduled to report quarterly results. "We are investigating an issue with the Azure Portal where ...

According to Satya Nadella, Microsoft introduced the Microsoft Agent Framework that enables builders to build, orchestrate, and scale multi-agent systems directly in Azure AI Foundry, highlighting ...

Microsoft’s multi-agent framework, AutoGen, acts as the backbone for many enterprise projects, particularly with the release of AutoGen v0.4 in January. However, the company aims to harmonize all of ...

Linux 6.17 features significant CPU improvements. It addresses the eternal Spectre and Meltdown security holes. The next release, 6.18, will be a long-term support kernel. Linus Torvalds is the first ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...

In this tutorial, we walk you through the seamless integration of AutoGen and Semantic Kernel with Google’s Gemini Flash model. We begin by setting up our GeminiWrapper and SemanticKernelGeminiPlugin ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...