AI-driven discovery depends on semantic depth and retrievable structure. Align language, taxonomy, and schema for modern search visibility.

Having long ago seen the handwriting on the wall for the journalism profession with the debut of GenAI, I decided to just cut to the chase and build my replacement now.

LLM answers vary widely. Here’s how to extract repeatable structural, conceptual, and entity patterns to inform optimization and positioning.

Both boosters and sceptics have strongly held opinions on AI tools like ChatGPT, but after an experiment in vibe coding, I have realised that both camps are wrong, says Jacob Aron ...

The recently unveiled x86CSS project aims to emulate an x86 processor within a web browser. Unlike many other web-based ...

SemHash is a lightweight, multimodal library for semantic deduplication, outlier filtering, and representative sample selection. Text works out of the box with fast Model2Vec embeddings, and images, ...

I don’t use a massive IDE. These three lightweight tools handle writing, version control, and validation on every HTML project.

Abstract: Deep learning methods, known for their powerful feature learning and classification capabilities, are widely used in phishing detection. To improve accuracy, this study proposes DPMLF (Deep ...

Abstract: As existing networks are projected to reach the theoretical limit for Shannon capacity, the concept of semantic communication is proposed in literature. In semantic communication the meaning ...

With Semantic View Autopilot, organizations including eSentire, HiBob, Simon AI, and VTS can ensure that AI agents operate on the same trusted business metrics, while cutting semantic model creation ...