It’s a little after 6:30 on a brisk July morning in a stone hut high in the Italian Alps. A gently hissing wood fire is ...

➼ The youth surge is even more pronounced on streaming. Disney says the median age of digital viewers for DWTS has dropped a ...

The final, formatted version of the article will be published soon. Objective:We developed interpretable machine learning(ML) models to predict the overall survival(OS) of esophageal cancer patients.

Abstract: The use of heterogeneous human-multi-robot teams enables the combination of complementary skills of these two different types of agents. To have an effective collaboration, it is necessary ...