Deterministic code synthesis operator — zero LLM in the loop. 8-color algebraic type system, 7-pass causal inference, 7-layer verification, 9-phase autonomous engagement. Substrate validated across 9 ...

In this tutorial, we will generate knowledge graphs from plain text, conversations, and multiple source documents using kg-gen. We start by setting up the required dependencies and configuring an LLM ...

Enterprise AI teams running centralized orchestration stacks now have a new variable to account for: AWS Quick, which expanded this week to a desktop-native agent that builds a persistent personal ...

The next competitive frontier in financial AI is not a better model. It is a better representation of how your organisation actually works. The financial services industry has spent the better part of ...

There is a quiet failure mode that lives at the center of every AI-assisted coding workflow. You ask Claude Code, Cursor, or Windsurf to modify a function. The agent does it confidently, cleanly, and ...

Retrieval-augmented generation (RAG) technology can empower large language models (LLMs) to generate more accurate, professional, and timely responses without fine-tuning. However, due to the complex ...

ABSTRACT: This study proposes a frequency-consistent diffusion model (FCDM) for long-horizon extrapolation of non-stationary bearing load signals. Condition tokens and spectral-consistency constraints ...

Rare disease research faces significant challenges due to data sparsity and heterogeneity, leading to diagnostic delays and limited treatments. Knowledge Graphs (KGs) offer a computational solution by ...

A knowledge graph is a map of meaning that describes how things relate to one another. It highlights the connections that explain how a business works. These relationships create a layer that sits ...