Research Archives - Page 2 of 3 - Open Data Science - Your News Source for AI, Machine Learning & 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 on the time... 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 is trained on.... 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 longer some far-off... 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 decline in student... 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 be extensively applied... Read more

Tides of Information Flow: Visualizing Our Digitally-Mediated Reality

Blog Research Data Visualizationposted by Joseph Reisinger, Co-founder - Premise September 10, 2017

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

Our research in 2016: personal scientific highlights

Blog Research Researchposted by Gael Varoquaux July 15, 2017

Year 2016 has been productive for science in my team. Here are some personal highlights: bridging artificial intelligence tools to human cognition, markers of neuropsychiatric conditions from brain activity at rest, algorithmic speedups for matrix factorization on huge datasets… Artificial-intelligence convolutional networks map well the human visual system Eickenberg et... Read more

The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)

Blog Deep Learning Research Research Convolutional Neural Networks|Neural Networksposted by Adit Deshpande July 13, 2017

Introduction Link to Part 1 Link to Part 2 In this post, we’ll go into summarizing a lot of the new and important developments in the field of computer vision and convolutional neural networks. We’ll look at some of the most important papers that have been published over the... Read more

Learning in Brains and Machines (1): Temporal Differences

Blog Deep Learning Researchposted by Shakir Mohamed June 22, 2017

We all make mistakes, and as is often said, only then can we learn. Our mistakes allow us to gain insight, and the ability to make better judgements and fewer mistakes in future. In their influential paper, the neuroscientists Robert Rescorla and Allan Wagner put this more succinctly, ‘organisms only learn when... Read more

What Is Data Science, and What Does a Data Scientist Do?

Blog Modeling Researchposted by Alex Castrounis June 22, 2017

Introduction What profession did Harvard call the Sexiest Job of the 21st Century? That’s right… the data scientist. Ah yes, the ever mysterious data scientist. So what exactly is the data scientist’s secret sauce, and what does this “sexy” person actually do at work every day? This article is... Read more