Python 3.15 introduces an immutable or ‘frozen’ dictionary that is useful in places ordinary dicts can’t be used. Only very rarely does Python add a new standard data type. Python 3.15, when it’s ...

Abstract: This article develops a Bayesian continuous 3D semantic occupancy map from noisy point clouds by generalizing the Bayesian kernel inference model for building occupancy maps, a binary ...

This sample app demonstrates how to create technical documents for a codebase using AI. More specifically, it uses the agent framework offered by Semantic Kernel to ochestrate multiple agents to ...

Ephemara Games, the developers of Kernel Hearts, recently confirmed the Fortnite collaboration. The collab is expected to release around March 31, 2026, which is the release date for the Kernel Hearts ...

Semantic segmentation is a core task in computer vision, essential for applications requiring detailed scene understanding, such as medical imaging, precision agriculture, and remote sensing. Recent ...

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 ...

With more than a dozen Copilot offerings, companies need a clear plan to identify the right entry points, prioritize high-impact use cases, and manage change effectively. If your organization is ...

The core use case of this Proof of Concept (PoC) revolves around a banking personal assistant designed to revolutionize the way users interact with their bank account information, transaction history, ...

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 ...

Rising seniors are the last class of students who remember high school before ChatGPT. But only just barely: OpenAI’s chatbot was released months into their freshman year. Ever since then, writing ...