Computer Sciences

New framework improves performance of deep neural networks

North Carolina State University researchers have developed a new framework for building deep neural networks via grammar-guided network generators. In experimental testing, the new networks—called AOGNets—have outperformed ...

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 ...

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.

Machine Learning & AI

Bach and Adele: Knock yourselves out on MuseNet

OpenAI is introducing a musical MuseNet, the music-generating AI that was in the news earlier this week. Some AI watchers were calling the music OpenAI just unveiled as amazing.

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 ...

Computer Sciences

Teaching machines to reason about what they see

A child who has never seen a pink elephant can still describe one—unlike a computer. "The computer learns from data," says Jiajun Wu, a Ph.D. student at MIT. "The ability to generalize and recognize something you've never ...

Machine Learning & AI

Clarifying how artificial intelligence systems make choices

Artificial intelligence (AI) and machine learning architectures such as deep learning have become integral parts of our daily lives—they enable digital speech assistants or translation services, improve medical diagnostics ...

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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