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The science behind grouping package deliveries
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In 2018, Rohit Malshe, an Amazon principal scientist, looked across the street from his home in Portland, Oregon, and spotted two trucks delivering Amazon ...

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Amazon product query competition draws more than 9,200 submissions
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At this year’s Conference on Knowledge Discovery and Data Mining (KDD), Amazon hosted a workshop in which we announced the results of our ESCI Challenge for ...

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The science behind NFL Next Gen Stats’ new passing metric
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When football fans evaluate a player’s performance, they measure the player’s execution of specific plays against an innate sense of the player’s potential. ...

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Using data science to help improve NFL quarterback passing scores
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In any given month as a principal data scientist at Amazon Web Services (AWS), Elena Ehrlich might be working on time-series modeling, a computer vision ...

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“I always knew that my main interest was in supply chain optimization”
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Alp Muharremoglu traces his enthusiasm for teaching to his teens, when he tutored younger schoolmates in his hometown of Istanbul. That set him on path to ...

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Amazon’s Janus framework lifts continual learning to the next level
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Watching items move down a conveyor belt toward a Robin robot arm at an Amazon fulfillment center is a great place to learn about the role continual ...

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Model assesses the validity of tips offered in product reviews
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Product reviews are a popular and important feature in e-commerce websites, which many customers rely on in their shopping journeys. The reviews often ...

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A quick guide to Amazon’s 40-plus papers at Interspeech 2022
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Of Amazon’s more than 40 papers at this year’s Interspeech, automatic speech recognition and text-to-speech account for about half. But the others cover a ...

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Pinch-grasping robot handles items with precision
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For humans, finding and fetching a bottle of ketchup from a cluttered refrigerator without toppling the milk carton is a routine task. For robots, this ...

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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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Master’s student Maryam Aziz uses SURE opportunity to explore social impact of machine learning
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As a junior at the University of Connecticut (UConn), Maryam Aziz began looking at summer research programs in her field of computer science. She planned to ...

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Amazon and Harvard launch alliance to advance research in quantum networking
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Harvard University and Amazon Web Services (AWS) today announced they have launched a strategic alliance to advance fundamental research and innovation in ...

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