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New contrastive-learning methods for better data representation
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Many recent advances in artificial intelligence are the result of representation learning: a machine learning model learns to represent data items as ...

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How Amazon DataZone helps customers find value in oceans of data
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The total amount of data that is created, captured, copied, and consumed globally each year is accelerating rapidly and is forecast to reach 120 zettabytes ...

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How economic data informs a more equitable employee experience at Amazon
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With one of the largest, most diverse, most distributed workforces in the world, Amazon faces a unique HR challenge: how to deliver a work experience that ...

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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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How CloudTune generates forecasts for the Amazon Store
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On what are known as game days to teams inside Amazon, millions of virtual “customers” log on to the Amazon Store to search for items, browse product pages, ...

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USC + Amazon Center on Secure and Trusted Machine Learning selects six new research projects
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The USC + Amazon Center on Secure and Trusted Machine Learning, established in January 2021 to support fundamental research and development of new ...

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Learning to learn learning-rate schedules
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Training a machine learning model can be thought of as exploring a landscape that maps settings of the model parameters against average error rate. The goal ...

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2023 SCOT INFORMS scholarship recipients announced
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In 2021, Amazon’s Supply Chain Optimization Technologies (SCOT) organization announced the establishment of the SCOT/INFORMS scholarships program to help ...

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“I want to help people automate boring tasks”
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Amazon Web Services (AWS) helps automate and facilitate much of what people do online, from managing customer data to scientific research. So it’s only ...

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A quick guide to Amazon’s 30+ papers at NAACL 2024
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In recent years, the fields of natural-language processing and computational linguistics, which were revolutionized a decade ago by deep learning, were ...

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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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Proving that solutions to incremental satisfiability problems are correct
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Automated reasoning can be used to mathematically prove whether software or hardware will do what it’s supposed to. In practice, automated reasoning often ...

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