What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...

Keep AI focused with summarization that condenses threads and drops noise, improving coding help and speeding up replies on ...

Forbes contributors publish independent expert analyses and insights. Jason Alan Snyder is a technologist covering AI and innovation. An invisible protocol for AI is quietly replacing apps, search, ...

The Model Context Protocol connects an AI system to multiple data sources, which Anthropic says can eliminate the need to create custom code for each one. The Model Context Protocol connects an AI ...

The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows us to plug our AI models directly into our security stack (SIEM, EDR, ...

A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).

CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...