Nos dernières nouveautés et articles sur l'IA

This paper presents an improvement of the information gain function used in a lot of decision tree Machine Learning algorithms. It was published on arXiv.org.

This paper presents specific features of the Craft AI Machine Learning engine that enable it to better take into account typical rhythms in human activities. In particular, it improves the quality and explainability of predictive models related to those.

This paper presents some of the foundations of Craft AI and especially how we introduced Machine Learning of user habits in an explainable context. It also introduces the initial version of our forgetting method that is able to unlearn lost habits.