Multi-label classification is a dynamic field within machine learning that allows a single instance to be associated with multiple labels simultaneously. Over recent years, advances in this domain ...

A research group has developed a new learning method for artificial intelligence that combines classification performance for data with multiple labels with the ability to learn continually from data.

The brighter the color, the higher the spectral weight. Left panel: weak interaction, γ=0.5; Right panel: moderate interaction, γ=4.0. Since the discovery of the Mott insulator-metal phase transition, ...