Running out of recipe ideas? Google’s artificial intelligence may soon come up with recipe ideas that don’t exist anywhere else.
Google engineers wanted to look into the science of pastry to try to understand the essential factors allowing to obtain crispy, spongy, or even soft cakes.
To carry out their experiment, they started by collecting hundreds of existing recipes of different cakes of all types. After converting the proportions of each ingredient and narrowing the list down to just a few essentials such as flour, sugar, butter, eggs or even yeast, Google engineers used a tool to build a model of machine learning to analyze all this data and detect what type of cake each recipe corresponded to.
By using this model to generate recipes, they were able to determine with precision for each of them which type of cakes corresponded to each recipe (bread, cookies, cakes), but also made it possible to identify the recipes considered as hybrids, possibly look like both cookie and cake for example
To check if these hybrid recipes were feasible, they went to the stove and therefore made a “cakie” (a sweetness having the appearance of a cake with the consistency of a cookie), as well as a “breakie” (cakes that look like cookies but have the consistency of a muffin).
Beyond the possibility of developing recipes that do not exist, the model of machine learning created by Google allowed its engineers to understand what gave the characteristics (crisp, soft, etc.) to each type of cake.
Source : Google
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