The protocol offers a standardized framework that defines how AI systems securely connect with trusted, validated knowledge ...

The Model Context Protocol (MCP) is redefining how artificial intelligence (AI) systems interact with external tools and services. By addressing the inherent limitations of large language models (LLMs ...

Imagine a world where your AI tools don’t just work for you but work with each other—seamlessly, intelligently, and without the frustration of endless custom integrations. This isn’t a distant dream; ...

LLMs and AI tools have transformed nearly every industry, including marketing. We’ve become accustomed to AI’s ability to: But as these models evolve, their capabilities are entering a new phase with ...

Ashay Satav is a Product leader at eBay, specializing in products in AI, APIs and platform space across Fintech, SaaS and e-commerce. Model context protocol (MCP) has been the talk of the town lately, ...

MCP has given us a powerful standard for connecting intelligent systems to enterprise data, but it has also introduced deep dependencies and new trust assumptions.

More processors on SoCs means more sophisticated cache control. This article describes formal techniques for verifying cache coherency for the ARM AMBA AXI Coherency Extensions (ACE) protocol. Fig 1.