Lifestyle

Food & Travel · 7 stories · page 1 of 1

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Artificial intelligence in food and nutrition science: a paradigm-centric review of computational frameworks and system-level integration

Precision nutrition on a global scale necessitates an understanding of food not as static collections of so-called macronutrients but rather as dynamic and heterogeneous biochemical matrices. These complex non-linear interactions between food composition, gastrointestinal digestion and the human microbiome are difficult to capture using traditional empirical experimental methods. This review articulates a paradigm-based framework that reconceptualizes artificial intelligence (AI) in food and function science, fr…

Food & Function

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Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review

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Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions

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Machine Learning for Quality Control in the Food Industry: A Review

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Applications of artificial intelligence (AI) in managing food quality and ensuring global food security

The food industry uses artificial intelligence (AI) to enhance food quality and security while proposing significant capital savings and resource optimization. Additionally, understanding machine learning (ML) techniques is essential for their effectiveness. Therefore, the gap lies in examining how industrial automation plays a crucial role in successfully implementing this new technology. To address this gap, this review explores AI’s potential to significantly enhance food safety by creating a more transparent…

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Explainable artificial intelligence techniques for interpretation of food models: a review

Abstract Artificial Intelligence (AI) has become essential for analyzing complex data and solving highly-challenging tasks. It is being applied across numerous disciplines beyond computer science, including Food Engineering, where there is a growing demand for accurate and reliable predictions to meet stringent food quality standards. However, this requires increasingly complex AI models, raising concerns. In response, eXplainable AI (XAI) has emerged to provide insights into AI decision-making, aiding model int…

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Platformed Foodways in Helsinki: Young Immigrant Men, AI Tools, and “Networked Eating”

In a digitally saturated Helsinki, everyday eating is increasingly routed through apps, chats, and platform encounters. This article examines how young immigrant men (aged 21–35) activate these encounters and move across them to shape their food practices and a sense of belonging. In qualitative interviews, participants narrated how they search and share recipes and foods (e.g., through WhatsApp, Telegram, or Instagram), adapt dishes to cultural or religious preferences, learn new techniques, and use delivery pl…