These models have the potential to revolutionize the food and drink industry by improving the way companies create new products and enhance existing recipes. By leveraging AI technology, businesses can save significant time and money that would have been spent on running trials to determine consumer preferences.
Researchers spent five years analyzing the chemical composition of 250 commercial beers, measuring a beer’s chemical properties and flavor compounds to understand how these factors influence the overall taste of the beer. This extensive data set was used to train 10 machine-learning models to accurately predict a beer’s taste, smell, mouthfeel, and consumer rating.
The integration of chemical data with sensory features allowed researchers to create models that could accurately determine how a consumer would perceive a beer and how likely they would be to rate it highly. This advancement in AI technology has the potential to transform the way food and drink products are developed and marketed in the future.
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