Amazon Web Services (AWS)
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Amazon Redshift: Ten years of continuous reinvention
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A. Ippokratis: As we highlight in the paper, the service has evolved at a rapid pace in response to customers’ needs. We focused on four main areas: 1) ...

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Speeding database queries by rewriting redundancies
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SQL database queries often include repetitions of the same operation. For instance, finding an entry in a table that corresponds to a particular person ...

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AWS contributes novel causal machine learning algorithms to DoWhy Python library
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We are excited to announce that we are open-sourcing causal machine learning (ML) algorithms that are the result of years of Amazon research on graphical ...

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New hands-on guide demonstrates how to implement natural language processing business solutions
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In Ali Baba and the Forty Thieves, Ali Baba overhears one of the thieves utter a magic phrase, “Open sesame,” which opens the mouth of a cave containing ...

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Near-linear scaling of gigantic-model training on AWS
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State-of-the-art language models have billions of parameters. Training these models within a manageable time requires distributing the workload across a ...

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Ten stories from the first half of 2022 that captivated readers
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AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global ...

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Preparing today for a post-quantum cryptographic future
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Post-quantum cryptography aims to develop new standards for public-key cryptography that quantum computers can't crack. ...

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How silicon innovation became the ‘secret sauce’ behind AWS’s success
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Nafea Bshara, Amazon Web Services vice president and distinguished engineer, and the co-founder of Annapurna Labs, an Israeli-based chipmaker that Amazon ...

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Automatically optimizing execution of dynamic tensor operations
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Deep-learning models rely centrally on algebraic operations involving tensors — higher-dimensional analogues of matrices — that might be repeated tens of ...

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Scaling to trillion-parameter model training on AWS
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In an Amazon Science blog post earlier this summer, we presented MiCS, a method that significantly improves the training efficiency of machine learning ...

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