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Amazon open-sources library for prediction over large output spaces

Framework improves efficiency, accuracy of applications that search for a handful of solutions in a huge space of candidates.Read More

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Explaining changes in real-world data

New method identifies which causal factors contribute most to observed changes in probability distributions.Read More

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Celebrating World Book Day

To mark the occasion, Amazon Science showcases some of the top-selling artificial-intelligence books, and passages from each book that Kindle customers have highlighted most frequently.Read More

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How Amazon’s Middle Mile team helps packages make the journey to your doorstep

The Middle Mile team manages complexity and scale in making routing decisions across the company’s expansive transportation network.Read More

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Amazon collaborates with Earth System Grid Federation to increase access to climate model dataset

Cloud access to the CMIP6 dataset will enable climate scientists and researchers to study future climate conditions more easily.Read More

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3 questions with Marzia Polito: Performing computer vision tasks at scale with few-shot learning

Polito is one of the featured speakers at the first virtual Amazon Web Services Machine Learning Summit on June 2.Read More

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How automated reasoning improves the Prime Video experience

In a pilot study, an automated code checker found about 100 possible errors, 80% of which turned out to require correction.Read More

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TheWebConf: Where communities converge on questions of scale

For Amazon’s Xin Luna Dong, the conference’s diversity mirrors that of her project: building the Amazon product knowledge graph.Read More

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Improving the accuracy of privacy-preserving neural networks

ADePT model transforms the texts used to train natural-language-understanding models while preserving semantic coherence.Read More

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How three science PhDs found different career paths at Amazon

Their doctoral degrees help these product managers bridge the gap between business and science.Read More

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