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

• Forschungsstelle: INNOSUISSE
• Projektnummer: 115.707 IP-ICT
• Projekttitel Englisch: Bridging the Gap: Expert and AI Collaboration for Improved Anomaly Detection in Small Batch Production

Schlüsselwörter (Englisch)

ICT, Machine learning

Abstract (Englisch)

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.