Research Blog

A research team from the University of Hull has secured third place in the Cambridge Edge AI Innovation for Sustainability Challenge 2026 with SustainGRF, a project exploring how smartwatch data and federated learning could support research into the relationship between everyday physical activity and bone health.

It is evident that in the AI era, security cannot be bolted on at the end. It must be a core feature from the first design decision. Let’s define what a "secure product" is, why AI makes trustworthy computing both harder and more necessary, and a practical checklist product teams can use.

Anthropic’s refusal to provide pre-release access exposes the risks of relying on privileged model access for frontier AI assessment. Summary Anthropic’s decision not to provide Claude Mythos 5.1 to the UK AI Security Institute (AISI) for pre-release testing has been discussed mainly as a problem of voluntary cooperation, regulation and geopolitics. It is also a technical warning. Some of the strongest methods for understanding and controlling advanced models depend on priv

Multi-agent AI systems are rapidly moving from research prototypes into enterprise workflows. Instead of relying on a single Large Language Model (LLM), these systems use multiple specialised AI agents to plan tasks, retrieve information, evaluate evidence and generate final answers. This architecture is increasingly attractive for enterprise AI, Agentic RAG, automated decision support, AI assistants and business-critical workflows.