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Looking for the perfect recipe? Or a new combination of flavors that delight the senses? More and more food industry players are adopting artificial intelligence (AI) to better understand the dynamics of the flavors, aromas and other factors necessary for success. a food product.
Earlier this year, IBM became a surprise entrant into the food industry, announcing a partnership with McCormick seasoning maker to "explore the territories of flavors faster and more efficiently using artificial intelligence to learn and predict new combinations of flavors "thanks to data collected from millions of data points.
The partnership highlights how technology is used to disrupt the food industry by helping to develop new products, respond to consumer preferences and provide better nutrition and taste. "Increasingly, food companies are turning to digitization and becoming data-driven," said Bernard Lahousse, co-founder of Foodpairing, a start-up with offices in Belgium and New York, which is developing digital "cards" for food and algorithms to recommend foods and beverages. combinations. Lahousse said his company had "the world's largest aroma database", which allows for better food forecasts, both based on human preferences and data badysis. "Instead of using a panel of experts or a panel of consumers, we develop algorithms that can translate the way consumers perceive this product," he said.
Scanning aromas
New York-based Analytical Flavor Systems uses AI to create a flavor, aroma and texture model or "gastrographe" that can predict consumer preferences for food and beverages. The platform, which recently raised $ 4 million, aims to help companies "create better, more focused and healthier products for consumers," says founder Jason Cohen.
According to data from the AgTech Funder investment platform, the total amount of funds invested in food businesses in IA does not represent US $ 16.9 billion in 2018.
Brita Rosenheim, a food technology badyst and investor in Analytical Flavor Systems, through Better Food Ventures, said the technology could help "digitize existing data" from tasting panels and speed up the process of developing new food products. "The typical process of food product development is long and there are many flaws in which there is no clear feedback on the market reaction, so this type of technology can help," Rosenheim said.
Foodpairing, for example, offers its "flavor intelligence" card based on molecular badysis: a dry Spanish ham, for example, has elements described as "cheese" or acid, while beet has a profile of "Woody" and "caramel" aroma.
Basilica of MIT
Researchers at the Mbadachusetts Institute of Technology (MIT) have explained how AI can be helpful in determining optimal growing conditions by growing basil-flavored superfood, and hopes to adapt it to others. products.
"Artificial intelligence could allow us to quickly use large databases of detailed agricultural information to improve our food crops.
before, "said John de la Parra, head of MIT's Open Agriculture Initiative," Better data collection and better standards are essential to enable innovation in food, "said Lange speaker Matthew Lange. at the University of California at Davis and head of research at IC3 Foods "I see a lot of people who apply machine learning around taste and nutrition in the development of a recipe," Lange said.
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