Taking a test—and specifically, the memory retrieval process that testing entails—enhances learning. This blog post is about a new study that sheds light on why retrieval is beneficial. Background ...

Deep metric learning (DML) is a rapidly evolving area in computer vision that seeks to learn similarity measures by mapping images into a continuous, low-dimensional embedding space. In this space, ...

Researchers know memory retrieval is beneficial for learning, but their new meta-analysis found there are limits. The research shows the frequency and difficulty of questions can reverse the effect ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Jessie Chin, assistant professor in the School of Information Sciences at the University of Illinois Urbana-Champaign, has received a National Science Foundation (NSF) CAREER award to support lifelong ...

Image-sentence retrieval task aims to search images for given sentences and retrieve sentences from image queries. The current retrieval methods are all supervised methods that require a large number ...

This review summarises the current state of knowledge on the impact of (acute) stress on memory and derives implications for educational settings from these laboratory findings. Because our focus is ...

Today, I’ve asked Robert A. Bjork to share his tip of the week. This is the last in a four-part series on learning. You can read the first one here, the second here, and the third here. Years ago, ...