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 ...

Machine Learning & AI

Smarter training of neural networks

These days, nearly all the artificial intelligence-based products in our lives rely on "deep neural networks" that automatically learn to process labeled data.

Computer Sciences

Machine learning drives NSynth Super's new sounds of music

Look what Project Magenta people have been up to. After creating NSynth algorithm they have come up with a machine to serve as instrument, acting as the physical interface for the NSynth algorithm.

Computer Sciences

Framework improves 'continual learning' for artificial intelligence

Researchers have developed a new framework for deep neural networks that allows artificial intelligence (AI) systems to better learn new tasks while "forgetting" less of what it has learned regarding previous tasks. The researchers ...

Computer Sciences

Using deep neural networks to hunt malicious TLS certificates

A team of researchers at Cyxtera Technologies has recently proposed a neural network-based method for identifying malicious use of web certificates. Their approach, outlined in a paper published in ACM Digital Library, uses ...

Machine Learning & AI

New technique cuts AI training time by more than 60 percent

North Carolina State University researchers have developed a technique that reduces training time for deep learning networks by more than 60 percent without sacrificing accuracy, accelerating the development of new artificial ...

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