AWS Machine Learning Blog

Amazon Rekognition today announces three new features: detection and recognition of text in images, real-time face recognition across tens of millions of faces, and detection of up to 100 faces in challenging crowded photos. Customers who are already using Amazon Rekognition for face verification and identification will experience up to a 10% accuracy improvement in most cases.

Today, AWS is excited to announce support for Apache MXNet and new generation GPU instance types on Amazon EMR, which enables you to run distributed deep neural networks alongside your machine learning workflows and big data processing. Additionally, you can install and run custom deep learning libraries on your EMR clusters with GPU hardware. Through […]

In the first blog post of our autonomous vehicle series, you built your Donkey vehicle and deployed your pilot server onto an Amazon EC2 instance. In the second blog post, you learned to drive the Donkey car, and the Donkey car learned to self-drive. In the third blog post, you learned about the process of streaming telemetry […]

Today, AWS announces the availability of ONNX-MXNet, an open source Python package to import Open Neural Network Exchange (ONNX) deep learning models into Apache MXNet. MXNet is a fully featured and scalable deep learning framework that offers APIs across popular languages such as Python, Scala, and R. With ONNX format support for MXNet, developers can […]

Amazon Polly is an AWS service that turns text into lifelike speech. Today, we are excited to announce that Amazon Polly is available in nine additional Regions, expanding the total number of Regions where Polly is available to 14. We are also excited to announce the release of  Korean language support, and that we have […]

We’re excited to announce the availability of two new versions of the AWS Deep Learning AMI. The first is a Conda-based AMI with separate Python environments for deep learning frameworks created using Conda—a popular open source package and environment management tool. The second is a Base AMI with GPU drivers and libraries to deploy your own […]

Today AWS announced the availability of two new versions of the AWS Deep Learning AMI: a Conda-based AMI and a Base AMI. This post will walk you through the instructions and additional resources for making the most of your new AMIs. New Deep Learning AMI with Conda-managed environments The new Deep Learning AMIs for Amazon […]

In the first blog post in our autonomous vehicle series, you built your Donkey vehicle and deployed your pilot server onto an Amazon EC2 instance. In the second blog, you learned to drive the Donkey car, and the Donkey car learned to drive itself. In this blog post, we’ll cover the process of streaming telemetry […]

Matrix Analytics is helping to save lives. The Colorado-based startup uses deep learning on Amazon Web Services (AWS) to track disease progression for patients diagnosed with pulmonary nodules in their lungs. While often benign, careful monitoring and follow-up care are critical to knowing if and when those nodules will turn into malignant tumors. The company’s […]

Today, the Amazon Polly team is pleased to announce the release of a new Speech Synthesis Markup Language (SSML) feature that allows developers to modify the timbre of any Text-to-Speech (TTS) voice. This is a compelling feature for customers who want to customize an existing voice in the Amazon Polly portfolio to make it sound […]