Bridging the Gap: Expert and AI Collaboration for Improved Anomaly Detection in Small Batch Production

• Unité de recherche: INNOSUISSE
• Numéro de projet: 115.707 IP-ICT
• Titre du projet anglais: Bridging the Gap: Expert and AI Collaboration for Improved Anomaly Detection in Small Batch Production

Mots-clé (Anglais)

ICT, Machine learning

Résumé des résultats (Abstract) (Anglais)

Our project aims to enhance quality control in biopharma small batch production under conditions of data scarcity. By integrating Foundation Models, Hardware-in-the-Loop, and Human-in-the-Loop approaches, this innovative solution addresses fault detection and diagnosis challenges, and reduces waste.