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.
An AI Image Fabrication detector has been developed to identify AI-generated images in scientific publications. The tool claims a 98% success rate with a 0.02% false-positive rate and can detect AI-generated microscopy images. Science journal is using the tool, while Springer Nature is developing its own detection tools. Regular updates are planned to recognise images from new AI models.
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.
