AWS Machine Learning Blog

Category: Artificial Intelligence

The AWS DeepRacer League triple – Three countries, three races and three new champions!

The AWS DeepRacer League is the first of its kind global autonomous racing league, providing developers of all skill levels with the opportunity to get hands-on with machine learning and have fun doing it. In another first for the AWS DeepRacer League, the race went truly global on April 17, 2019 as three live racing […]

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Analyze content with Amazon Comprehend and Amazon SageMaker notebooks

In today’s connected world, it’s important for companies to monitor social media channels to protect their brand and customer relationships. Companies try to learn about their customers, products, and services through social media, emails, and other communications. Machine learning (ML) models can help address some of these needs. However, the process to build and train […]

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Amazon Polly adds Arabic language support

On April 17th, 2019 Amazon Polly launched an Arabic female text-to-speech (TTS) voice called Zeina. This voice is clear and natural-sounding. The voice masters tongue twisters, and it can whisper, just like all other Amazon Polly products. Let’s hear Zeina introduce herself: Listen now Voiced by Amazon Polly Hello, my name is Zeina, I am the […]

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Your guide to Amazon re:MARS: Jeff Bezos, Andrew Ng, Robert Downey Jr. and more…  

The inaugural Amazon re:MARS event pairs the best of what’s possible today with perspectives on the future of machine learning, automation, robotics, and space travel. Based on the exclusive MARS event founded by Jeff Bezos, Amazon re:MARS brings together the world of business and technology in a premier thought-leadership event. With more than 100 sessions, […]

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Developer at the AWS DeepRacer League Singapore race sets new world record lap time

The AWS DeepRacer League, the world’s first autonomous racing league open to developers of all skill levels held a race in Singapore this week (April 10-11). This was the third of twenty races on the worldwide Summit Circuit.  Following the first two races in Santa Clara, California and Paris, France, excitement was building to see […]

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Protagonist adopts Amazon Translate to expand analytics to multilingual content

This is a guest blog post by Bryan Pelley, COO of Protagonist. Protagonist, in their own words “helps organizations communicate more effectively through a data-driven understanding of public discourse.” Protagonist is a pioneer of the art and science of understanding narratives. We define narratives as the beliefs that an audience holds that are  composed of […]

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Get started with the AWS Live Streaming with Automated Multi-Language Subtitling solution

Live Streaming with Automated Multi-Language Subtitling is a solution that automatically generates multi-language subtitles for live streaming video content in real time. You can use this solution as-is, customize the solution to meet your specific use case, or work with AWS Partner Network (APN) partners to implement an end-to-end subtitling workflow. Based on the Live Streaming on […]

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Extending Amazon SageMaker factorization machines algorithm to predict top x recommendations

Amazon SageMaker gives you the flexibility that you need to address sophisticated business problems with your machine learning workloads. Built-in algorithms help you get started quickly.  In this blog post we’ll outline how you can extend the built-in factorization machines algorithm to predict top x recommendations. This approach is ideal when you want to generate […]

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Amazon Comprehend now supports resource tagging for custom models

Amazon Comprehend customers are solving a variety of use cases with custom classification and entity type models. For example, customers are building classifiers to organize their daily customer feedback into categories like “loyalty,” “sales,” or “product defect.” Custom entity models enable customers to analyze text for their own terms and phrases, such as product IDs […]

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Amazon SageMaker automatic model tuning now supports random search and hyperparameter scaling

We are excited to introduce two highly requested features to automatic model tuning in Amazon SageMaker: random search and hyperparameter scaling. This post describes these features, explains when and how to enable them, and shows how they can improve your search for hyperparameters that perform well. If you are in a hurry, you’ll be happy […]

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