Neural networks
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Forecasting big time series: theory and practice
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During The Web Conference in April, Amazon scientists and scholars joined external researchers, policy makers, developers and others for an all-virtual ...

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Amazon scientists author popular deep-learning book
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Machine learning – a field of computer science that gives a computer the ability to learn – is changing the world. It’s being used to improve weather ...

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Collaboration between Amazon and UC Berkeley advances AI and machine learning
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In a keynote talk at the 2019 re:MARS Conference, Jeff Wilke, CEO of Amazon’s worldwide consumer business, talked about how the company was built by ...

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The importance of forgetting in artificial and animal intelligence
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Deep neural networks (DNNs) have taken the AI research community by storm, approaching human-like performance in niche learning tasks from recognizing ...

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How Amazon scientists are helping the Scout delivery device find a path to success
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Introduced in January 2019, Amazon’s Scout delivery robot now is slowly shuttling around four areas in the United States: Snohomish County, Wash.; Irvine, ...

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AWS scientist wins ICLR outstanding paper award
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An Amazon Web Services (AWS) senior applied scientist and collaborators learned last week that their research paper is one of eight to earn an Outstanding ...

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Alexa & Friends features Pradeep Natarajan, Alexa AI principal applied scientist
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Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply ...

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How Lantao Liu and his team are helping robots adapt to challenges
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Lantao Liu and his team at the Vehicle Autonomy and Intelligence Lab (VAIL) at Indiana University Bloomington want to help robots get better at navigating ...

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Second annual Machine Learning Summer School launches in India
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Amazon ML Summer School India 2024 In 2021, Amazon launched an immersive program for students keen to ...

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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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