AWS Machine Learning Blog

Introduction to the Amazon SageMaker Neural Topic Model

Structured and unstructured data are being generated at an unprecedented rate, so you need the right tools to help organize, search, and understand this vast amount of information, it’s challenging to make the data useful. This is especially true for unstructured data, and it’s estimated that over 80% of the data in enterprises is unstructured. Text analytics […]

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Simplify machine learning with XGBoost and Amazon SageMaker

Machine learning is a powerful tool that has recently enabled use cases that were never previously possible–computer vision, self-driving cars, natural language processing, and more. Machine learning is a promising technology, but it can be complex to implement in practice. In this blog post, we explain XGBoost—a machine learning library that is simple, powerful, and […]

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AWS Deep Learning AMIs Now Available in AWS GovCloud (US) Region

The AWS Deep Learning AMIs (Amazon machine images) are now available in AWS GovCloud (US), Amazon’s isolated cloud region built for sensitive data and regulated workloads. Available in Ubuntu and Amazon Linux, the AMIs provide fully-configured development environments to quickly build AI applications using popular deep learning frameworks including TensorFlow, Apache MXNet and Gluon, PyTorch, Chainer, […]

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Toyota Research Institute accelerates safe automated driving with deep learning at a global scale on AWS

Vehicles with self-driving technology can bring many benefits to society. One of the top priorities at Toyota Research Institute (TRI) is to apply the latest advancements in artificial intelligence (AI) to help Toyota produce cars that are safer, more accessible, and more environmentally friendly. To help TRI achieve their goals, they turned to deep learning […]

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Amazon SageMaker now supports PyTorch and TensorFlow 1.8

Starting today, you can easily train and deploy your PyTorch deep learning models in Amazon SageMaker. This is the fourth deep learning framework that Amazon SageMaker has added support for, in addition to TensorFlow, Apache MXNet, and Chainer.  Just like with those frameworks, now you can write your PyTorch script like you normally would and […]

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Customers can now use Amazon Translate, a neural machine translation service, in the AWS GovCloud (US) Region

For AWS government customers and organizations in government-regulated industries it is critical to communicate with people in their preferred languages. CSA Research shows that 51 percent of consumers prefer content in their own language, even if the language quality is less than perfect. To help our government customers and organizations in government-regulated industries, we are […]

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Open Influence uses Amazon Rekognition to enhance its influencer marketing platform

Open Influence is an end-to-end influencer marketing platform that uses artificial intelligence to enable global brands and agencies to quickly and easily identify relevant influencers.  Influencer marketing has become a popular way for corporate brand marketers to work with influential leaders on social media to reach a specific audience. These influencers are critical in executing […]

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Creating virtual guided navigation using a Question and Answer Bot with Amazon Lex and Amazon Alexa

If our users are using Question and Answer Bot (QnABot), and they are getting the right answers for their questions, what else can you do for them? Now you can create a bot to guide them through a series of logically connected answers. This means, for example, that the bot can guide them through the […]

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Create a questionnaire bot with Amazon Lex and Amazon Alexa

In the Create a Question and Answer Bot with Amazon Lex and Amazon Alexa blog post, we showed you how you could create a QnABot (pronounced “Q and A Bot”) for a situation in which your users have questions and you have answers. Now, what if this situation were reversed? What if you could ask […]

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