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 ...

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; ...

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 ...

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

AI agents' rise has transformed software, as they make decisions and coordinate tasks. However, their security is often weak due to poor authentication and ad-hoc controls. The Model Context Protocol ...

Carl is the CTO and co-founder at Avassa and obsesses over an edge orchestrator that application- and infrastructure teams alike can love. AI is no longer just a tool that reacts to prompts. With the ...

While working on a research paper, I decided to test one of the leading AI assistants and asked Anthropic’s Claude to analyze hundreds of emails and build a spreadsheet of recent Nobel Prize-winners.

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.