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 ...

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 released Azure Cosmos DB Python SDK version 4.14.0, a stable update designed to support advanced AI workloads and enhance performance for data-driven applications. The release includes new ...

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 ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

from semantic_kernel.connectors.in_memory import InMemoryStore in_memory_store = InMemoryStore() collection = in_memory_store.get_collection(record_type=SimpleModel ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

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 ...

Following the example here, https://github.com/microsoft/semantic-kernel/blob/main/python/samples/getting_started_with_agents/multi_agent_orchestration/step4_handoff ...