What are neural networks for? It is unlikely that an ordinary person will need them in everyday life at the moment. Maybe in the future - yes, but not now. Business is most interested in using neural networks.
Bots cook pizza from pictures
Specialists from the Massachusetts Institute of Technology, together with the Qatar Computing Research Institute, taught bots to cook pizza. If you have ever heard the abbreviation PizzaGAN, then you know that this is exactly the network. The first part of the name is clear to the whole world, but the second part – GAN, stands for Generative Adversarial Network, which is the name of the neural network.
The peculiarity of this gcash database development is that the training of artificial intelligence in making pizza is done with the help of pictures. After thousands of pictures and real images of the pie have been viewed during the training process, the network can not only recognize individual toppings, but also distinguish specific layers and the order in which they should be arranged. Thanks to the extensive database, the system can make step-by-step recipes from just one photo. In a test run, the pizza bot showed 88% correct determinations of the order of pizza.
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McDonald's offers food according to the weather
Not long ago, the American company McDonald's acquired an Israeli startup called Dynamic Yield for three hundred million dollars. This is a project developing forecasting technologies based on neural networks and using personal data of consumers in the retail sector. The fact is that the company knows little about the customers who prefer McAuto, buying food and drinks without leaving their cars. That is, the entire communication with the restaurant takes no more than 1-2 minutes. Obviously, the less the company knows the client, the worse the service, since his tastes and preferences are unknown. This is exactly what McDonald's wants to change.
Currently, thanks to the neural network, the company accumulates different information on each client. The huge display on which a person places an order remembers what, when and in what quantity he takes. Based on this data, forecasts are made about the next purchases. In addition to making forecasts, the neural network constantly monitors the space inside and outside the restaurant. When it is hot outside, the menu will have more soft drinks, ice cream, and if there is a large crowd in the cafe during rush hour, first of all, they will offer such dishes that are quickly prepared.
Search for similar furniture by photo
Sarafan.AI is the name of the widget developed by the domestic company Sarafan Technology. The first to appreciate this invention was the online furniture magazine Domashniy Ochag, since artificial intelligence can recognize furnishings from photographs.