AWS Machine Learning Blog

In the Research Spotlight: Zornitsa Kozareva

As AWS continues to support the Artificial Intelligence (AI) community with contributions to Apache MXNet and the release of Amazon Lex, Amazon Polly, and Amazon Rekognition managed services, we are also expanding our team of AI experts, who have one primary mission: To lower the barrier to AI for all AWS developers, making AI more accessible […]

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In the Research Spotlight: Hassan Sawaf

As AWS continues to support the Artificial Intelligence (AI) community with contributions to Apache MXNet and the release of Amazon Lex, Amazon Polly, and Amazon Rekognition managed services, we are also expanding our team of AI experts, who have one primary mission: To lower the barrier to AI for all AWS developers, making AI more accessible […]

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Using Amazon Rekognition to Identify Persons of Interest for Law Enforcement

This is a guest post by Chris Adzima, a Senior Information Systems Analyst for the Washington County Sheriff’s Office.  In law enforcement, it is extremely important to identify persons of interest quickly. In most cases, this is accomplished by showing a picture of the person to multiple law enforcement officers in hopes that someone knows the […]

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Activity Tracking with a Voice-Enabled Bot on AWS

Listen to this post Voiced by Amazon Polly It’s New Year’s Eve. Your friends and loved ones have gone to the party, but you can’t go just yet because you haven’t figured out how to track the key performance indicators for your New Year’s resolution. You’ve already divided your resolution into categories, and you’ve set […]

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Updated AWS Deep Learning AMIs with Apache MXNet 0.10 and TensorFlow 1.1 Now Available

You can now use Apache MXNet v0.10 and TensorFlow v1.1 with the AWS Deep Learning AMIs for Amazon Linux and Ubuntu. Apache MXNet announced version 0.10, available at http://mxnet.io, with significant improvements to documentation and tutorials including updated installation guides for running MXNet on various operating systems and environments, such as NVIDIA’s Jetson TX2. In […]

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Tuning Your DBMS Automatically with Machine Learning

This is a guest post by Dana Van Aken, Andy Pavlo, and Geoff Gordon of Carnegie Mellon University. This project demonstrates how academic researchers can leverage our AWS Cloud Credits for Research Program to support their scientific breakthroughs. Database management systems (DBMSs) are the most important component of any data-intensive application. They can handle large […]

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In the Research Spotlight: Edo Liberty

As AWS continues to support the Artificial Intelligence (AI) community with contributions to Apache MXNet and the release of Amazon Lex, Amazon Polly, and Amazon Rekognition managed services, we are also expanding our team of AI experts, who have one primary mission: To lower the barrier to AI for all AWS developers, making AI more accessible […]

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