NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

I've spent the last year pressing vendors on the problem of context. AI agents need more: they need real-time organization ...

From AI grounding to market monitoring, reliable search APIs help development teams transform public web data into production-ready applications.

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

By Pietro Antonio Ciclese, Senior Technical Marketing Engineer, Ambarella The workloads that generate the most commercial ...

Researchers warn that repeated AI summarization, rewriting, and synthesis can gradually erode the original knowledge, context ...

An examination of the trade secret risks posed by the integration of generative AI (GenAI) and agentic AI into core business ...

Not all prompts are created equal. You can save a bundle on token costs by routing your simpler prompts to cheaper models.

Security tooling is not written in a single language. Python powers most automation. C sits at the exploit layer. PowerShell ...