Imagine you’ve trained or fine‑tuned a chatbot or an LLM, and it can chat comfortably without any serious hiccups. You feed ...

Model context protocol (MCP), the infrastructure connecting AI to the rest of our digital world, wasn’t built for what it’s ...

Composable systems empower developers and businesses to move faster. MCP applies this same principle to AI: modular parts, ...

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; ...

Over the last two years, marketers have been bombarded with sudden news about launched AI models and subsequent updates. The buzz has captured marketers’ imagination, encouraging them to explore how ...

For AI agents to function effectively at the edge, they require structured and reliable context about the environments in which they operate.

Figma is rolling out behind-the-scenes upgrades to make its AI agents even more powerful by extending their access to context ...

Learn how MCP bridges tools and AI, enabling seamless automation and productivity for developers, researchers, and ...

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.