AQM+: A new model for visual dialog question generation

Researchers at Clova AI Research, NAVER and LINE, have recently proposed a new framework called AQM+ that allows dialog systems to generate context-relevant questions and answers. Their model, outlined in a paper pre-published on arXiv, will be presented at the 7th International Conference on Learning Representation (ICLR 2019), in New Orleans. Source: Techxplore

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An AI that 'de-biases' algorithms

We’ve learned in recent years that AI systems can be unfair, which is dangerous, as they’re increasingly being used to do everything from predicting crime to determining what news we consume. Last year’s study showing the racism of face-recognition algorithms demonstrated a fundamental truth about AI: if you train with biased data, you’ll get biased […]

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A new approach for software fault prediction using feature selection

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. Their approach employs feature selection (FS) to enhance the performance of a layered recurrent neural network (L-RNN), which is used as a classification tool […]

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