Best Deep Learning Research of 2019 So Far
We’re just about finished with Q1 of 2019, and the research side of deep learning technology is forging ahead at a very good clip. I routinely monitor the efforts of AI researchers in order to get a heads-up for where the technology is headed. This foresight... Read more
Self-Driving Cars, Generated News Among Top Data Science 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. [Related Article: The Best Machine Learning Research of 2019... 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... Read more
Predictive Model Finds 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... 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... 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