Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Kilpatrick of Google Deepmoind is claiming what we historically thought of as "the model" is no longer just weights — it's a ...

CrowdStrike data and OpenAI's admission confirm prompt injection as a dominant enterprise AI attack vector. 65% of ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

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

The rapid adoption of large language model (LLM) systems across the federal government has prompted the U.S. General Services Administration (GSA) ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

The model has been designed to address a long-standing challenge facing organisations across the Middle East, where frontier AI systems have typically delivered stronger performance in English than in ...

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

Invisible AI agents are running tasks inside your network without ever logging in, meaning IT leaders need a whole new way to ...

The old playbook of buying high-volume, low-cost backlinks is officially obsolete. In 2026, links are no longer just v ...