Food Development

Food development research currently focuses on leveraging artificial intelligence (AI) and machine learning (ML) to enhance various aspects of the food industry, from personalized recipe recommendations and targeted marketing to improved food safety and quality control. Common approaches involve deep learning models like convolutional neural networks and transformers, along with techniques such as federated learning to address data privacy concerns. This research is significant for improving consumer experiences, optimizing food production and distribution, and ensuring food safety through more efficient and accurate analysis methods.