Researchers at MIT conducted an experiment to create recipes for pizza by artificial intelligence. Working within the framework of the project How To Generate (Almost) Anything, scientists used a recurrent neural network with open source called textgenrnn. The training was conducted on hundreds of author's recipes from culinary blogs.
To assess the taste qualities of the generated recipes, the researchers turned to the culinary specialists for help. Pizzeria Crush Pizza in Boston, Massachusetts, agreed to help implement artificial intelligence.
The local chef noted that in some recipes there are no key ingredients of the dish - meat topping, sauce or cheese. In addition, some components are quite difficult to find. In the pizzerias there was no "crushed caramel cheese" or "farmer's filling from a walnut".
As a result of oral testing of prototypes (in other words, having tried a piece), scientists came to the conclusion that some recipes turned out to be rather not bad. The top includes the following pizza recipes:
- blueberries, spinach and feta cheese;
- bacon, avocado and peach;
- apricot, pear, cranberry and ricotta;
- sweet potatoes, beans and brie;
- shrimp, jam and assorted Italian sausages.
Pizza Receipts by AI
The last recipe for pizza was so successful that the chef of the pizzeria promised to think about including it in the main menu.