AWS Machine Learning Blog

Train Neural Machine Translation Models with Sockeye

Have you ever wondered how you can use machine learning (ML) for translation? With our new framework, Sockeye, you can model machine translation (MT) and other sequence-to-sequence tasks. Sockeye, which is built on Apache MXNet, does most of the heavy lifting for building, training, and running state-of-the-art sequence-to-sequence models. In natural language processing (NLP), many […]

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Building a Reliable Text-to-Speech Service with Amazon Polly

Listen to this post Voiced by Amazon Polly This is a guest post by Yiannis Philipopoulos, a Software Developer at Bandwidth. In Yiannis’ words: “Bandwidth’s solutions are shaping the future of how we connect with voice and messaging for mobile apps and large-scale, enterprise-level solutions. At the core of Bandwidth’s business-grade Communications Platform as a […]

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Amazon Lex Now Supports Telephony Audio (8 kHz) for Increased Speech Recognition Accuracy

To increase the accuracy of speech recognition for conversations over the phone, Amazon Lex now supports telephony audio (8 kHz). You can now employ the same deep learning technology as Amazon Alexa to converse with your applications and fulfill the most common requests. Amazon Lex maintains context and dynamically manages the dialogue, adjusting responses based […]

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Voice-Enabled Mobile Bot Drives Auto Industry Innovation with Real-Time Trade-in Values for Vehicles

The Kelley Blue Book Bot allows users to get real-time Kelley Blue Book® Trade-In Value for vehicles using natural language. Users can interact with the chatbot in both voice and text. A simple question like, “Kelley Blue Book, can you tell me the trade-in value for my 2012 Honda Civic?” is all that is needed […]

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Find Distinct People in a Video with Amazon Rekognition

Note: AWS released Amazon Rekognition Video on November 29, 2017 which is now the preferred approach for analyzing videos and finding distinct people. Nevertheless, we continue to make this blog post available for educational purposes on how to use Amazon Rekognition. Amazon Rekognition makes it easy to detect, search for, and compare faces in images […]

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Using Amazon Polly to Deliver Health Care for People with Long-Term Conditions

This is a guest post by Michael Wray, senior software architect at Inhealthcare. Founded in 2012, Inhealthcare has created a digital infrastructure which supports remote home monitoring for the entire UK population. Listen to this post Voiced by Amazon Polly   With an aging population that continues to grow, healthcare is being changed forever. Are […]

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Build PMML-based Applications and Generate Predictions in AWS

If you generate machine learning (ML) models, you know that the key challenge is exporting and importing them into other frameworks to separate model generation and prediction. Many applications use PMML (Predictive Model Markup Language) to move ML models from one framework to another. PMML is an XML representation of a data mining model. In […]

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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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