Amazon Web Services (AWS)
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8 science-related points from Jeff Bezos’s 2019 Shareholder Letter
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Jeff Bezos, founder and CEO, Amazon On April 16, Amazon released Jeff Bezos’s 2019 Letter to ...

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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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Learning graph neural networks with Deep Graph Library
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In the last few years, graph neural networks (GNNs) have emerged as a promising new supervised learning framework capable of bringing the power of deep ...

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Firecracker: AWS’s open source, minimalist approach to serverless computing
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On May 28, Marc Brooker, AWS senior principal engineer, presented and hosted a live Q&A on Firecracker, an open source virtualization technology that's ...

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Machine learning helps unlock data related to COVID-19 epidemic
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COVID-19 has wreaked a devastating toll. According to the World Health Organization, by late May, COVID-19 had infected more than 4.9 million people ...

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Amazon scientists help SK telecom create Korean-based natural language processor
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Korean is a major world language, spoken by some 80 million people. Although it has a long history, dating back to what is believed to be its start in ...

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How some of AWS’s most innovative customers are using computer vision technologies
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Computer vision, the automatic recognition and description of images and video, has applications that are far-reaching, from identifying defects in high ...

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Creating a digital twin of the Earth with computer vision
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As climate change, in tandem with accelerating population growth, becomes an increasingly critical issue, the marriage of environmentalism and data-driven ...

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CVPR 2020: Charlie Bell fireside chat
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Watch the fireside chat featuring Charlie Bell, senior vice president of Amazon Web Services. Source link

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How SageMaker’s algorithms help democratize machine learning
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SageMaker is a service from Amazon Web Services that lets customers quickly and easily build machine learning models for deployment in the cloud. It ...

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