Machine learning & AI
A team of researchers at Queen's University, in Canada, have recently proposed a new method to downsize random recurrent neural networks (rRNN), a class of artificial neural networks that is often used to make predictions ...
Jul 17, 2019 feature
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244
Consumer & Gadgets
The world produces about 2.5 quintillion bytes of data every day. Storing and transferring all of this enormous—and constantly growing—number of images, videos, Tweets, and other forms of data is becoming a significant ...
May 30, 2019
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2291
Machine learning & AI
Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. Their approach includes a model made up of two attention-based RNNs, ...
Apr 8, 2019 feature
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35
Engineering
By zeroing in on humans' gait, body symmetry and foot placement, University of Michigan researchers are teaching self-driving cars to recognize and predict pedestrian movements with greater precision than current technologies.
Feb 12, 2019
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27
Computer Sciences
A team of researchers at Universite du Quebec a Montreal and Vietnam National University Ho Chi Minh (VNU-HCM) have recently developed an approach for machine transliteration based on recurrent neural networks (RNNs). Transliteration ...
Feb 6, 2019 feature
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160
Computer Sciences
Central pattern generators (CPGs) are biological neural circuits that can produce coordinated rhythmic outputs without requiring rhythmic inputs. CPGs are responsible for most rhythmic motions observed in living organisms, ...
Jan 23, 2019 feature
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64
Computer Sciences
Researchers at Beijing Institute of Technology (BIT) have recently developed a new method to detect false data injection (FDI) attacks on critical infrastructure such as power grids. Their solution, outlined in a paper presented ...
Jan 22, 2019 feature
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116
Computer Sciences
Researchers at Taif University, Birzeit University and RMIT University have developed a new approach for software fault prediction (SFP), which addresses some of the limitations of existing machine learning SFP techniques. ...
Jan 10, 2019 feature
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18
Computer Sciences
Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.
Dec 7, 2018 feature
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185
