AWS Machine Learning Blog
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 The machine learning models are out of date and people are complaining, but no one is looking past […]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 […]
Tuning Your DBMS Automatically with Machine Learning
This is a guest post by Dana Van Aken, Andy Pavlo, and Geoff Gordon of Carnegie Mellon University. This project demonstrates how academic researchers can leverage our AWS Cloud Credits for Research Program to support their scientific breakthroughs. Database management systems (DBMSs) are the most important component of any data-intensive application. They can handle large […]
In the Research Spotlight: Edo Liberty
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 […]
Personalizing Videos: BeeLiked uses Amazon Polly to Launch the #DanBrownOrigin campaign, the World’s First Virtual Book Signing
Listen to this post Voiced by Amazon Polly Just as Dan Brown has captivated millions of readers through countless plot twists and turns, the launch of his new novel, Origin, will lead you along an inspired journey that guarantees to speak to you and draw you in. Literally. The 2003 best-selling author of The Da […]
In the Research Spotlight: Mu Li
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 […]