In the past year, we’ve introduced what we call name-free skill interaction for Alexa. In countries where the service has rolled out, a customer who wants ...
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Kathleen McKeown, the Henry and Gertrude Rothschild Professor of Computer Science at Columbia University and an Amazon Scholar, has a storied history with ...
Watching items move down a conveyor belt toward a Robin robot arm at an Amazon fulfillment center is a great place to learn about the role continual ...
Machine learning (ML) models need regular updates to improve performance, but retraining a model poses risks, such as the loss of backward compatibility or ...
Three years ago, Alexa began using an industry-leading self-learning model that learns to correct improperly phrased or misheard customer queries without ...
In recent years, automatic speech recognition (ASR) has moved to all-neural models. Connectionist-temporal-classification loss functions are an attractive ...
In March of 2022, Amazon and Carnegie Mellon University announced the second class of Amazon graduate research fellows, marking an expansion of the ...
Federated learning is a process in which distributed devices, each with its own store of locally collected data, can contribute to a global machine learning ...
One of the great attractions of large language models (LLMs) is that they encode information about the real world. But the world is constantly changing, and ...