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 when tasks become more complex.More training of AI models is required that's ...

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 ...

Who owns BlockDAG? In a crypto ecosystem defined by decentralization, the concept of “ownership” is far more nuanced than it ...

Released late last year by AI firm Anthropic, model context protocol (MCP) is an open standard designed to standardize the way AI systems, particularly large language models (LLMs), integrate and ...

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 ...

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.

Physicists have designed a protocol to study high-temperature superconductivity on an experimentally realizable platform ...