Information theory holds surprises for machine learning
New SFI research challenges a popular conception of how machine learning algorithms "think" about certain tasks.
New SFI research challenges a popular conception of how machine learning algorithms "think" about certain tasks.
Computer Sciences
Jan 24, 2019
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86
Professor Jinwoo Shin and Professor Dongsu Han from the School of Electrical Engineering developed neural adaptive content-aware internet video delivery. This technology is a novel method that combines adaptive streaming ...
Internet
Jan 22, 2019
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6
For people with hearing loss, it can very difficult to understand and separate voices in noisy environments. This problem may soon be history thanks to a new groundbreaking algorithm that is designed to recognise and separate ...
Machine learning & AI
Jan 8, 2019
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11
Finding defects in electron microscopy images takes months. Now, there's a faster way. It's called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural networks—computational ...
Computer Sciences
Dec 28, 2018
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152
A deep learning approach originally designed to teach computers how to play video games better than humans could aid in developing personalized medical treatment for sepsis, a disease that causes about 300,000 deaths per ...
Machine learning & AI
Dec 19, 2018
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19
Machine learning algorithms now underlie much of the software we use, helping to personalize our news feeds and finish our thoughts before we're done typing. But as artificial intelligence becomes further embedded in daily ...
Computer Sciences
Dec 16, 2018
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44
Kids lying on their backs in a grassy field might scan the clouds for images—perhaps a fluffy bunny here and a fiery dragon over there. Often, atmospheric scientists do the opposite—they search data images for the clouds ...
Earth Sciences
Dec 12, 2018
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13
Breakthroughs in the field of nanophotonics—how light behaves on the nanometer scale—have paved the way for the invention of "metamaterials," man-made materials that have enormous applications, from remote nanoscale sensing ...
Nanophysics
Oct 23, 2018
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12
The future won't be made by either humans or machines alone – but by both, working together. Technologies modeled on how human brains work are already augmenting people's abilities, and will only get more influential as ...
Computer Sciences
Oct 23, 2018
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46
Medical imaging creates tremendous amounts of data: many emergency room radiologists must examine as many as 200 cases each day, and some medical studies contain up to 3,000 images. Each patient's image collection can contain ...
Computer Sciences
Sep 19, 2018
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22