The brioche bun was made in-house and had a beautiful crisp shine. It was massive and even so, it was so delicious that she ate the whole thing along with the fries. This was the first restaurant my local fiancé brought me to and she had the RKE Cheeseburger. Fresh ingredients, a tasty crust when you eat it standalone, a fresh and slightly sweet tomato sauce and a few charred bubbles that help break past that sweetness to create the perfectly balanced slice. As many people will tell you internationally, there are things to look for when eating a pizza and this had them all. The crust was thin with a corn meal base and so was still crunchy and not a pile of mush. The salami is made in-house and was perfect alongside the chopped up jalapenos. The decor here was business casual with some living walls and a welcoming atmosphere which was added to by the friendly staff. Dodo’s customers commented that the pizza tasted “unusual”, “surprising”, “tasty, cool, sweet, with lots of tastes”.While I do enjoy eating mostly traditional meals in the countries I visit (I can get Burger King or Italian food anywhere), I will definitely be back to Rosewood.Īpparently, they also have a sister restaurant that serves Spanish cuisine and I can't wait to check it out. Dodo received favorable reviews from both its customers and industry peers. On October 10, Dodo ran a “Open Source” pizza day in Moscow showcasing the AI pizza. Dodo’s goal is to make all the pizza in the world taste better rather than just making only Dodo’s pizza taste better. By adjusting coefficients, AI can produce both traditional recipes (Margaritas or Pepperoni) and unusual recipes, of which the “Open Source” pizza is a great example.ĪI code was shared through Github enabling every small restaurant in the world to become part of the AI revolution and win customers in the competition with bigger restaurants. To present the recipe in a form that would be understandable to the neural network, Dodo used Skip-Gram Negative Sampling (SGNS) - an algorithm based on the word occurrence in a specific context.Īfter AI had been trained in creating pizza recipes, Dodo added flavor combinations criteria based on the 2011 study mentioned above. The data cleaned up, however, only 1,000 unique positions were left. Initially, there were over 100,000 unique ingredients. ![]() The overall number of recipes searched through amounted to 300,000. The available recipe datasets are very limited, so Dodo scanned user-generated recipes on culinary websites, often with mistakes and typos. ![]() That finding was key to selecting recipes generated by Dodo’s AI.Īs expected, the problem was to collect the dataset, according to Dodo Pizza. The study found that Western cuisines showed a tendency to use ingredient pairs that shared many flavor compounds. ![]() To train the AI, Dodo used the dataset of over 300,000 recipes along with the results of “ Flavor network and the principles of food pairing” study published in Nature magazine in 2011. The “Open Source” pizza recipe includes 10 ingredients both traditionally used in pizza (tomato sauce, chicken, cherry tomatoes, broccoli, and mozzarella) and very uncommon ones (melon, pear, tuna, mint, and muesli). “Open Source” pizza (ai.) was an experiment aimed at proving the hypothesis that tastes, though considered entirely subjective, could be quantified and that AI could be trained to find uncommon ingredient combinations that would taste well together for most people. Dodo Pizza, a Russian-born global pizza delivery franchise, analyzed 300,000 formulations to create a pizza recipe transcending individual tastes.
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