Machine learning & AI

A method to reduce the number of neurons in recurrent neural networks

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 ...

Machine learning & AI

A hierarchical RNN-based model to predict scene graphs for images

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, ...

Engineering

Teaching self-driving cars to predict pedestrian movement

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.

Computer Sciences

A new approach for low-resource machine transliteration using RNNs

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 ...

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