Conversational AI
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Teaching household robots where to find requested objects
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Remote-object grounding is the task of automatically determining where in the local environment to find an object specified in natural language. It is an ...

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Johns Hopkins and Amazon announce four fellow and eight faculty research awards
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Amazon and Johns Hopkins University (JHU) today announced the second-year recipients of PhD fellowships and faculty research awards as part of the JHU + ...

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Amazon and Howard University announce inaugural fellowship, gift project recipients
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As part of a collaboration that was announced and then subsequently expanded earlier this year, Amazon and Howard University have announced the 2023 ...

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Responsible AI in the wild: Lessons learned at AWS
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When we first joined AWS AI/ML as Amazon Scholars over three years ago, we had already been doing scientific research in the area now known as responsible ...

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Continual learning in the federated-learning context
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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 ...

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Amazon Web Services releases two new Titan vision-language models
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Last month, at its annual re:Invent developers’ conference, Amazon Web Services (AWS) announced the release of two new additions to its Titan family of ...

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Amazon and IIT Bombay announce inaugural award recipients
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Amazon and IIT Bombay (IIT-B) today announced the inaugural award recipients of the Amazon IIT–Bombay AI-ML Initiative. The awards recognize researchers ...

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Knowledge distillation method for better vision-language models
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Large machine learning models based on the transformer architecture have recently demonstrated extraordinary results on a range of vision and language ...

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New pretraining tasks enable better document understanding
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In the digital era, when documents are generated and distributed at unprecedented rates, automatically understanding them is crucial. Consider the tasks of ...

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Updating large language models by directly editing network layers
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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 ...

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