Adaptive AI concept for assets in infrastructure (AACAI)

Offentlig prosjektsammendrag

This project explores how new advances in artificial intelligence—such as synthetic data generation, foundation models, and multimodal learning—can be applied to asset inspection in critical infrastructure. By developing adaptive AI systems that operate securely and locally, the goal is to enable dynamic identification of components and anomalies with minimal human supervision. The project investigates model training with limited data, interactive learning, and autonomous agents for decision support and continuous updates. The work is carried out in collaboration with leading technology and industry partners, with potential applications across multiple sectors.