Machine learning
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Amazon scientist Dr. Nashlie Sephus focuses on ensuring accuracy in machine learning
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Dr. Nashlie Sephus is an applied scientist working on the Amazon Web Services machine learning team. In her role, Sephus is responsible for establishing ...

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Advances in text-to-speech technologies help computers find their voice
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Editor's Note: The Alexa team recently introduced a new longform speaking style so Alexa sounds more natural when reading long pieces of content, like this ...

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Machine learning helps unlock data related to COVID-19 epidemic
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COVID-19 has wreaked a devastating toll. According to the World Health Organization, by late May, COVID-19 had infected more than 4.9 million people ...

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Video classifiers learn to recognize actions they’ve never seen
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Zero-shot learning is a way to train deep-learning models to generalize to categories they’ve never seen before. The way it’s typically done, the model ...

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How some of AWS’s most innovative customers are using computer vision technologies
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Computer vision, the automatic recognition and description of images and video, has applications that are far-reaching, from identifying defects in high ...

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Adversarial training improves product discovery
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Deep learning has been highly successful for natural-language-processing tasks, like interpreting commands on Alexa. But it’s been less successful for ...

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Using unlabeled data to improve sequence labeling
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Virtual adversarial training (VAT) is a way to improve machine learning systems by creating difficult-to-classify training examples through the addition of ...

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How to teach Transformers to care about word order
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The Transformer is a neural-network architecture that has proven extremely useful for natural-language-processing tasks because it can recognize long-range ...

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Automated reasoning lightning talks
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The 32nd International Conference on Computer-Aided Verification (CAV) is dedicated to the advancement of the theory and practice of computer-aided formal ...

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How to make AI better at reading comprehension
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Question answering through reading comprehension is a popular task in natural-language processing. It’s a task many people know from standardized tests: a ...

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