Machine Learning Model Learns What Makes Belgian Beers Taste Better
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Researchers developed a machine learning model to predict what makes Belgian beer taste better based on chemical composition.
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The model was trained on data from chemical analysis, tasting panels, and consumer reviews of 250 Belgian beers.
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By adjusting levels of key compounds like ethyl acetate, the model improved the flavor and overall appreciation of beers in blind taste tests.
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The method shows promise for developing new recipes and flavors across foods and drinks to match consumer preferences.
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The researchers hope to expand the model to more beer styles and markets to further improve quality control and product development.