McGill University Reports Findings in Food Safety (Frontiers of machine learning in smart food safety).

A report from McGill University in Montreal, Canada discusses the integration of machine learning (ML) technologies into smart food safety. The report explores the potential of ML in transforming the management and assurance of food quality and safety throughout the food supply chain. It highlights three specific examples of ML applications in food science, including improving beer flavor, predicting food safety incidents using natural language processing, and detecting foodborne disease outbreaks through social media. The report acknowledges challenges such as data availability, model reliability, and transparency, and emphasizes the importance of addressing these issues to fully realize the potential of ML in food safety. The researchers conclude that the future of smart food safety lies in strategic implementation of ML technologies, navigating social and industry impacts, and adapting to regulatory changes in the AI era. [Extracted from the article]