Abstract: Anomaly detection needs to learn one-class classifiers from normal instances in observation or feature spaces. In the Neyman–Pearson criterion, the design of one-class classifiers boils down ...

Google Research published a paper that studies how to make generative AI systems produce answers that do more than sound ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Abstract: Deep-learning is widely used in modulation classification to reduce labor and improve the efficiency. Graph convolutional network (GCN) is a type of feature extraction network for graph data ...

Chances are you know the climate is changing and that means trouble. But what exactly is driving the climate crisis, how bad are things now and how much worse could they get? To answer those questions ...