AWS Machine Learning Blog
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 […]
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 […]
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 […]
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 […]
Build a Real-time Object Classification System with Apache MXNet on Raspberry Pi
In the past five years, deep neural networks have solved many computationally difficult problems, particularly in the field of computer vision. Because deep networks require a lot of computational power to train, often using tens of GPUs, many people assume that you can run them only on powerful cloud servers. In fact, after a deep […]
“Greetings, visitor!” — Engage Your Web Users with Amazon Lex
All was well with the world last night. You went to bed thinking about convincing your manager to add some time in the next sprint for much-needed improvements to the recommendation engine for shoppers on your website. The machine learning models are out of date and people are complaining, but no one is looking past […]
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 […]
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 […]
Capturing Voice Input in a Browser and Sending it to Amazon Lex
Ever since we released Amazon Lex, customers have asked us how to embed voice into a web application. In this blog post, we show how to build a simple web application that uses the AWS SDK for JavaScript to do that. The example application, which users can access from a browser, records audio, sends the […]
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 […]