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

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...

Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...

When major artificial intelligence platforms abruptly retire popular models or alter user access terms, developers and ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Couchbase unveils Couchbase AI Data Plane to provide a single, governed data layer for AI agents running in production.

The company is combining human-reviewed AI tools with interactive, gamified learning to improve safety training, incident ...

The ordinary graphite in pencil lead is proving to be surprisingly multifaceted at the microscale. In a study published in ...

Learn how to use the Relative Vigor Index (RVI) to measure trend strength and smooth price fluctuations in trading, with an ...