Generic, context-free AI prompts deliver weak results. Discover why adding a personal knowledge layer results in far better ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Researchers identified two consistent failure modes in LLM reasoning: overcomplication and overlooking. In the ...

The integration of AI into software-as-a-service (SaaS) is no longer a futuristic idea—it's a competitive necessity. As ...

The DuckDB concept contrasts with the model of data warehousing established over the last 30 years or so. Whether on-prem ...

SaveHealth explores how consumers are leveraging discount card platforms to save money while working with or around their ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, ...

Google's "sufficient context" helps refine RAG systems, reduce LLM hallucinations, and boost AI reliability for business ...

The internal Church thesis (𝗖𝗧​) is a logical principle stating that one can associate to any function f : ℕ → ℕ a concrete ...

The rate of change in AI algorithms complicates the decision-making process about what to put in software, and how flexible the hardware needs to be.

Enterprises should experiment with MCP where it adds value, isolate dependencies and prepare for a multi-protocol future.