Abstract: A Photovoltaic (PV) cell inside solar panels requires manufacturing through a stringent and controlled process. The PV manufacturing process faces difficulties because it contains multiple ...

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 ...

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 ...

This beginner-friendly tutorial shows how to create clear, interactive graphs in GlowScript VPython. You’ll learn the basics of setting up plots, graphing data in real time, and customizing axes and ...

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 ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

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 ...

Microsoft Build 2025 is here—our annual showcase of the most exciting innovations shaping the future of development and AI. For engineers, makers, and subject matter experts, it’s the moment to see ...

This project demonstrates a two-step agent flow using Azure OpenAI's ChatCompletions API. It features a researcher agent that gathers information on a given topic and a writer agent that synthesizes ...

Over the past year, we’ve seen AI agents evolve from experimental tools to essential components of enterprise systems. From simple prompt and response bots to agents that act autonomously on your ...