Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...

Abstract: In traditional binary classification tasks, learning algorithms conventionally distinguish positive and negative samples by leveraging fully labeled training data. However, in practical ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

In traditional math classrooms, students are often expected to report answers rather than explain their mathematical reasoning. Brief responses directed toward the teacher can limit opportunities for ...

Summary: A critical research letter warns that a novel statistical method used to support a new class of Alzheimer’s drugs can severely overstate clinical efficacy. The study evaluated quantile ...