Synthetic data generation
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Using large language models (LLMs) to synthesize training data
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The machine learning models that power conversational agents like Alexa are typically trained on labeled data, but data collection and labeling are ...

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A user-controllable framework that unifies style transfer methods
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Neural style transfer is the use of neural networks to transfer the style of one input image — say, a famous painting — to another input image — say, a ...

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Long-form-video understanding and synthesis
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At this year’s Conference on Computer Vision and Pattern Recognition (CVPR), Prime Video presented four papers that indicate the broad range of cutting-edge ...

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How Alexa learned to speak with an Irish accent
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In the last five years, speech synthesis technology has moved to all-neural models, which allow the separate elements of speech — prosody, accent, language, ...

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Automatically generating labeled training images
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Machine learning (ML) models thrive on data, but gathering and labeling training data can be a resource-intensive process. A common way to address this ...

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Scenario Diffusion helps Zoox vehicles navigate safety-critical situations
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Autonomous vehicles (AVs) such as the Zoox purpose-built robotaxi represent a new era in human mobility, but the deployment of AVs comes with many ...

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