AWS Machine Learning Blog

Category: AWS Quest

Create softer speech with the new Amazon Polly phonation tag

Speech Synthesis Markup Language (SSML) is a standardized markup language that enables developers to modify Text-to-Speech (TTS) audio. With SSML, you can control various vocal characteristics of TTS output, such as pronunciation, speech rate, and other elements, to produce a more natural-sounding voice experience. Today, we are excited to announce a new phonation SSML tag […]

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Model Server for Apache MXNet introduces ONNX support and Amazon CloudWatch integration

Today AWS released version 0.2 of Model Server for Apache MXNet (MMS), an open-source library that packages and serves deep learning models for making predictions at scale. Now you can serve models in Open Neural Network Exchange (ONNX) format and publish operational metrics directly to Amazon CloudWatch, where you can create dashboards and alarms. What […]

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Build a social media dashboard using machine learning and BI services

In this blog post we’ll show you how you can use Amazon Translate, Amazon Comprehend, Amazon Kinesis, Amazon Athena, and Amazon QuickSight to build a natural-language-processing (NLP)-powered social media dashboard for tweets. Social media interactions between organizations and customers deepen brand awareness. These conversations are a low-cost way to acquire leads, improve website traffic, develop […]

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Congratulations to the Winners of the re:Invent Robocar Rally 2017!

To drive awareness of deep learning, machine learning, and the internet of things in autonomous driving, AWS hosted a hackathon—the Robocar Rally—at re:Invent in November 2017. We kicked off Robocar Rally in September with a series of blog posts and Twitch streams. At re:Invent, we had 100 attendees come for a hands-on two-day hackathon using deep learning and the open source Donkey Car platform with AWS machine learning services and AWS IoT. They formed teams, and built, customized, trained, and raced their own 1/16th scale cars. There’s a lot we could talk about, but we think this video shows the event better than we could write about it.

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Understand Movie Star Social Networks Using Amazon Rekognition and Graph Databases

Amazon Rekognition is an AWS service that makes it easy to add image analysis to your applications. The latest feature added to the API for this deep-learning-powered computer vision is Celebrity Recognition. This simple-to-use functionality detects and recognizes thousands of individuals who are famous, noteworthy, or prominent in their field. Users can harness the tool […]

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Create a Question and Answer Bot with Amazon Lex and Amazon Alexa

Your users have questions and you have answers, but you need a better way for your users to ask their questions and get the right answers. They often call your help desk, or post to your support forum, but over time this adds stress and cost to your organization. Could a chat bot add value for your customers? Interestingly, a recent poll shows that 44% of people would rather talk to a chat bot than to a human! In this post we provide a sample solution, called QnABot (pronounced “Q and A Bot”). The QnABot uses Amazon Lex and Amazon Alexa to provide a conversational interface for your “Questions and Answers.” This allows your users to ask their questions and get quick and relevant answers.

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