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Large language models (LLMs) have come to dominate the field of natural-language processing, so it’s no surprise that they also dominate the research that Amazon scientists...
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 challenges. It’s...
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 challenge is...
In the last five years, speech synthesis technology has moved to all-neural models, which allow the separate elements of speech — prosody, accent, language, and speaker...
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 problems we work...
Neural style transfer is the use of neural networks to transfer the style of one input image — say, a famous painting — to another input...
The machine learning models that power conversational agents like Alexa are typically trained on labeled data, but data collection and labeling are expensive and complex, creating...