Computer scientists at the Harbin Institute of Technology designed a model that makes accurate learning status predictions about MOOC students in real time. MOOCs have transformed education by offering the opportunity to study and access course materials for free, virtually anytime, anywhere. Typically, complementary forums also... Read more

Researchers from Northwestern University and Microsoft Research developed machine learning algorithms that predict a user’s comfort with an email notification depending on a given situational context. Today, people may receive anywhere from dozens to hundreds of notifications per day across a variety of connected devices. Contingent... Read more

Researchers across NVIDIA, MGH and BWH Center for Clinical Data Science, and the Mayo Clinic devised a method for generating synthetic abnormal MRI images to combat a lack of sufficient training data. A machine learning system can only be as good as the data that it... Read more

The research team hails from Korea University as well as NCSOFT, a South Korean video game developer. Their newly developed question-aware sentence-gating networks allow for sentence-level information to be taken into account during word-level encoding. The ability for machines to derive meaning from text is no... Read more

Analysts at the University of Adelaide and the Commonwealth Scientific and Industrial Research Organisation developed a set of classifiers to predict the performance level of a primary school student based on both individual and environmental variables. Over the past two decades, Australia has witnessed a considerable... Read more

Researchers with the University of Washington worked in tandem with the University’s Disaster Data Science Lab to construct a convolutional neural network that identifies damaged buildings. Satellite imagery has long been used to detect the presence of infrastructure, vehicles, and natural phenomena but has yet to... Read more