Self-learning
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Alexa at five: Looking back, looking forward
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Today is the fifth anniversary of the launch of the Amazon Echo, so in a talk I gave yesterday at the Web Summit in Lisbon, I looked at how far Alexa has ...

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How we taught Alexa to correct her own defects
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Most of the major advances in artificial intelligence in the past decade, in both industry and academia, have been the result of supervised deep learning, ...

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Amazon brings new machine learning, conversational-AI methods to AAAI
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Amazon is a gold sponsor of this year’s meeting of the Association for the Advancement of Artificial Intelligence (AAAI), and Amazon researchers are ...

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Alexa enters the “age of self”
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Alexa launched in 2014, and in the more than six years since, we’ve been making good on our promise to make Alexa smarter every day. In addition to ...

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Why ambient computing needs self-learning
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Today at the annual meeting of the ACM Special Interest Group on Information Retrieval (SIGIR), Ruhi Sarikaya, the director of applied science for Alexa AI, ...

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reMARS revisited: Self-learning Alexa: ML model updates with no human in the loop
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In June 2022, Amazon re:MARS, the company’s in-person event that explores advancements and practical applications within machine learning, automation, ...

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Data-efficient continual learning in Alexa
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Three years ago, Alexa began using an industry-leading self-learning model that learns to correct improperly phrased or misheard customer queries without ...

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Amazon and MIT research symposium focused on cutting-edge technology
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In October of 2021, Amazon and MIT announced the establishment of the Science Hub. That collaboration, which aims to ensure the benefits of AI and robotics ...

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Federated learning with weak supervision for speech recognition
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Automatic-speech-recognition (ASR) models, which transcribe spoken utterances, are a key component of voice assistants. They are increasingly being deployed ...

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