AI Agents Beat Machine Learning at Predicting Food Texture, Study Finds
A new study shows that an AI agent combining data retrieval with mechanistic food-science knowledge outperforms conventional machine learning for ...
A new study shows that an AI agent combining data retrieval with mechanistic food-science knowledge outperforms conventional machine learning for ...
A new review in npj Science of Food explains how engineering food structure at multiple scales can boost saltiness perception ...
Researchers combined peptidomics, machine learning and molecular simulation to identify five novel long-chain umami peptides in Dengchuan beef that taste ...
Researchers developed an oat milk-based probiotic dessert fortified with microencapsulated Lactiplantibacillus plantarum and Balangu Shirazi seed gum that maintained high ...
A comprehensive review shows that slaughter blood, a largely wasted byproduct of meat processing, can be enzymatically converted into proline-rich ...
Researchers have developed and structurally characterized a solid fat analogue system that can replace saturated animal fat in emulsified sausages ...
A comprehensive metabolomic study of Korean red pepper powders reveals that cultivar, fruit tissue, and harvest timing each shape the ...
Researchers have combined scanning X-ray scattering and fluorescence with machine learning to map the multi-scale structure of yellow pea seeds ...
New research shows ethylene boosts fruity ester aromas in stored kiwifruit while 1-methylcyclopropene freezes aroma development, offering a precision roadmap ...
A new review in Food Science and Biotechnology details how bigel systems combining oleogels and hydrogels can replace unhealthy fats ...
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© 2025 Scienmag - Science Magazine