Enterprises have moved quickly to adopt RAG to ground LLMs in proprietary data. In practice, however, many organizations are ...

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Abstract: The advent of increasingly available patient health data has created opportunities for critical care medicine to embrace modern data-driven decision support. However, existing methods, such ...

MCP is a big deal. This open standard (released by Anthropic in late 2024) is designed to make it simpler and easier for AI ...

It’s increasingly recognised that moving from prompts to context is critical for achieving scalable, adaptive high-impact ...

Why static context don’t scale autonomy - durable agents require a living system that retains precedent, adapts as the business changes, and operates reliably.

Retrieval Augmented Generation (RAG) strategies As companies rush AI into production, executives face a basic constraint: you ...

CSV2FAIR_KG transforms tabular data (CSV) into a Findable, Accessible, Interoperable and Reusable (FAIR) knowledge graph (KG) for biomedical research. It integrates ontology mapping, metadata ...

Abstract: Representing and exploiting multivariate signals requires capturing relations between variables, which we can represent by graphs. Graph dictionaries allow to describe complex relational ...

1 School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China 2 School of Engineering, University of Birmingham, Birmingham, United Kingdom Electroencephalogram ...