3 stories tagged Digital Twin
New research proposes a system where small, rule-aligned language models and multi-agent self-correction generate and reconfigure industrial control policies from natural-language requirements. A digital twin validates actions before execution, addressing latency and compute constraints of large cloud models.
Researchers have developed TwinBI, an AI system that bridges the gap between interactive dashboards and natural language queries. By creating a digital twin of the dashboard state, TwinBI ensures filters, metrics, and chart contexts stay synchronized whether you're clicking or typing.
Researchers propose a new AI-driven framework for aircraft fault diagnosis using digital twins and LLMs. The method addresses data scarcity and diverse fault types in general aviation. The system integrates high-fidelity simulations, fault injection, and interpretable report generation to improve diagnostic accuracy.