An open standard that enables AI models to interact with tools, memory, and data in a structured, auditable way.

ZDNET's key takeaways Even the best AI models are challenged to carry out tasks via MCP.New benchmarks show models struggle ...

As AI development accelerates, organizations are under increasing pressure to move models from prototype to production securely and with scalability.

What if you could cut 90% of the tedious, manual work from your AI workflows? Imagine a world where repetitive tasks like model updates, parameter adjustments, and ...

Imagine you’ve trained or fine‑tuned a chatbot or an LLM, and it can chat comfortably without any serious hiccups. You feed it a prompt and it responds. However, it’s stuck in a bubble: It only knows ...

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; ...

For years, APIs have powered everything from SaaS dashboards to mobile apps. Now, a new contender—Model Context Protocol, or ...

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.