Self-Driving Cars, Generated News Among Top October Research
Self-driving cars. Less biased crowdsourced data. Automatically generated historical accounts. These are some of the topics data science researchers across the world tackled and published to the arXiv research aggregator out of Cornell University Library in October. Learn about revelations researchers made and how they applied machine learning, deep... Read more
Shared Control For Dynamic Systems Between Humans and Robots
Engineering and computer science researchers at Northwestern University devised a model that forsakes user-only control in favor of an optimized shared control paradigm. As machines become further integrated in our daily lives, we will naturally see a rise in human-machine systems that use human input while also relying on... Read more
Classification Models Predict Community-Specific Interest in News Articles With High Accuracy
A research team hailing from Rensselaer Polytechnic Institute and Raytheon BBN Technologies used features from article content to create a predictive model for gauging a given community’s interest in news articles. For the most part, past research in this realm has attempted to forecast general popularity in lieu of... Read more
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 allow learners and... 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 on the time... 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 is trained on.... 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 longer some far-off... 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 decline in student... 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 be extensively applied... Read more
Tides of Information Flow: Visualizing Our Digitally-Mediated Reality
I consume a lot of news, especially recently. But often I feel like I have a hard time grasping the shape of it. What is different this time? What am I missing? What have I learned? Where did that other thing go? I’m also interested in maps. So, I... Read more