AI-driven discovery depends on semantic depth and retrievable structure. Align language, taxonomy, and schema for modern search visibility.

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 ...

ABSTRACT: The traditional treatment of the adverb just as polysemous is unsatisfactory, failing to account for the interrelations between the senses identified and their nature. This study offers a ...

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 ...

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 ...

Once again, too many standards are vying for dominance in solving a relatively simple problem. The IT industry needs to break this counterproductive pattern. You know the routine: The IT industry, ...

A new Microsoft announcement suggests it has found a way to deliver kernel-level visibility and capabilities to apps running in user mode. Experts conclude a ban on kernel access for cybersecurity ...

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

Microsoft has declared the “Age of AI Agents” at its Build 2025 conference on May 19, unveiling a comprehensive strategy and a suite of tools aimed at transforming software development and business ...

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 ...