Best Deep Learning Research of 2019 So Far
Deep LearningModelingResearchDeep LearningResearchposted by Daniel Gutierrez, ODSC April 5, 2019
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
ResearchResearchposted by Paxtyn Merten November 13, 2018
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
Researchposted by Kaylen Sanders, ODSC September 14, 2018
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
Researchposted by Kaylen Sanders, ODSC September 11, 2018
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
LSTM enables researchers to track the learning status of class participants in massive open online courses.
Researchposted by Kaylen Sanders, ODSC August 15, 2018
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
In a world where privacy seems increasingly rare, machine learning may help create email notification systems that disclose information in a context-sensitive manner.
Researchposted by Kaylen Sanders, ODSC August 8, 2018
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
Using a generative adversarial network, artificial medical images can be created to help train tumor classification models.
Researchposted by Kaylen Sanders, ODSC August 1, 2018
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
Through a novel neural network approach, researchers from Korea have enhanced the accuracy of machine comprehension question answering.
Researchposted by Kaylen Sanders, ODSC July 26, 2018
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
Research out of Australia suggests that machine learning can preemptively identify students at risk of low academic achievement.
Researchposted by Kaylen Sanders, ODSC July 24, 2018
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
A recent experiment indicates that deep learning methods can estimate the amount of damage caused by a hurricane based on satellite imagery.
Researchposted by Kaylen Sanders, ODSC July 19, 2018
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