Sommelier neural network appeared.

The algorithm determines the degree and variety of wine with an accuracy of 95%. At the same time, the hardware consumes less power and works faster than analogues. The neural network was trained on the characteristics of 148 wines from three types of grapes. Each virtual drink was described by 13 parameters: degree, color, alkalinity, magnesium content, and others.