With the support of artificial intelligence, researchers want to create new beers that will surprise consumers. AI-adapted beers are already receiving better overall ratings.
The team from Belgium, which published in the journal Nature Communications, explains that so far there have been only limited opportunities to use consumer testing to find out which alcoholic and non-alcoholic flavors are well received by the market.
The new method could help food manufacturers meet specific consumer needs more efficiently and cost-effectively.
It is generally complex to predict which new food flavors consumers will like, explain researchers led by Kevin Verstrepen of the Katholieke Universiteit Leeuwen. This is mainly due to the fact that there are a huge number of taste-active chemicals in food.
There are also interactions and complex enhancing or decreasing effects on taste perception. For example, sweetness and bitterness masked each other.
The use of trained tasters is common, but entails high costs. Online review databases, on the other hand, are prone to errors because they also reflect factors such as a product’s price or current cult status.
Overall, the models used are still immature, the research team says. More extensive data sets are crucial for further improvements. It should also be clear that the models can only recognize correlations and not causal relationships. It is also emphasized that AI approaches should not lead to an increase in the addictive potential of alcoholic beverages.
Source: Krone
I’m Ben Stock, a journalist and author at Today Times Live. I specialize in economic news and have been working in the news industry for over five years. My experience spans from local journalism to international business reporting. In my career I’ve had the opportunity to interview some of the world’s leading economists and financial experts, giving me an insight into global trends that is unique among journalists.
