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, ...
CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...
The Digital Twin Consortium’s new Agent AI Capabilities framework could help contextualize requirements for the agentic fad. It will also expand the agentic conversation beyond LLMs to consider an ...
As artificial intelligence applications proliferate across healthcare, the model context protocol is an emerging industry standard that defines how AI systems, large language models and agent-based ...
What if the AI tools you rely on could become not just smarter, but exponentially more effective? Imagine an AI assistant that doesn’t just follow instructions but intuitively understands your needs, ...
A report released Wednesday explores concrete AI use cases in cities across the U.S., offering an alternative framework for AI adoption in the public sector. The document, “Making AI Work for the ...
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