“Each new service that we add to our architecture requires a lot of work across different teams. Since we already had native vector support with Azure SQL Database, we only had to write the code that ...

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 ...

Workflow is still at the heart of the new framework. Building on the strengths of the Semantic Kernel and AutoGen agent implementations, the new framework offers support for workflow orchestration and ...

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 ...

I'm working with the getting started notebook, and made some small modifications to use token-based auth with Azure AD. I'm using a .env file to provide endpoint and ...

Abstract: Robotic mapping with Bayesian Kernel Inference (BKI) has shown promise in creating semantic maps by effectively leveraging local spatial information. However, existing semantic mapping ...

The CrowdStrike incident that affected more than 8.5 million Windows PCs worldwide and forced users to face the “Blue Screen of Death,” made Microsoft sit down and revisit the resilience of its ...

Microsoft yesterday announced the general availability of Semantic Kernel for Python and Java, advancing the open source AI integration SDK that is a key component of the company's Copilot stack of AI ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...