Nowadays, Artificial Intelligence (AI) is widely employed in solving complex problems where it is difficult to define an algorithm that allows finding a reliable solution. Applications of AI include image recognition, speech-to-text translation, environmental classification, and many more. The classical approach to a classification task consists in training a Machine Learning (ML) model using a huge dataset with labeled data, where each input sample is associated with the correct class, to produce a network that using only multiplication and accumulation operations by weight, determined during training, is able to infers the correct class starting from unseen data, in the best possible way.