Researchers have developed an AI-enhanced electronic tongue that can detect subtle variations in liquids with over 95% accuracy. The device uses a graphene-based sensor linked to an artificial neural network, enabling it to distinguish between liquids, identify products, and detect spoilage. The technology shows promise for applications in food safety, production, and medical diagnostics.
Singapore startup ProfilePrint has developed AI technology to rapidly analyse food ingredient quality at a molecular level. The technology aims to streamline the food supply chain by reducing physical sample exchanges. Operating globally, ProfilePrint's platform allows companies to create AI models for specific product assessments, with potential applications beyond coffee and tea that could improve food security.
