AWS Machine Learning Blog

Category: Artificial Intelligence

Amazon Polly Adds 9 AWS Regions, Korean Language Support, and a New Indian English Voice

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 […]

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New AWS Deep Learning AMIs for Machine Learning Practitioners

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 […]

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Modify the Timbre of Amazon Polly Voices with the New Vocal Tract SSML Feature

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 […]

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Apache MXNet Version 0.12 Extends Gluon Functionality to Support Cutting Edge Research

Last week, the Apache MXNet community released version 0.12 of MXNet. The major features were support for NVIDIA Volta GPUs and sparse tensors. The release also included a number of new features for the Gluon programming interface. In particular, these features make it easier to implement cutting-edge research in your deep learning models: Variational dropout, […]

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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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Monitoring GPU Utilization with Amazon CloudWatch

Deep learning requires a large amount of matrix multiplications and vector operations that can be parallelized by GPUs (graphics processing units) because GPUs have thousands of cores. Amazon Web Services allows you to spin up P2 or P3 instances that are great for running Deep Learning frameworks such as MXNet, which emphasizes speeding up the deployment […]

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Apache MXNet Release Adds Support for New NVIDIA Volta GPUs and Sparse Tensor

We are excited about the availability of Apache MXNet version 0.12. Contributors in the MXNet community have collaborated to bring new feature enhancements to users. With this release, MXNet adds two new important features: Support for NVIDIA Volta GPUs, which enable users to dramatically reduce the training and inference time for a neural network model. […]

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Announcing New AWS Deep Learning AMI for Amazon EC2 P3 Instances

We’re pleased to announce a new set of AWS Deep Learning AMIs, which come pre-installed with deep learning frameworks optimized for the NVIDIA Volta V100 GPUs in the new Amazon EC2 P3 instance family. The new P3 instances are perfect for deep learning, with eight NVIDIA Volta GPUs available in a single p3.16xlarge instance, which […]

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Research Spotlight: BMXNet – An Open Source Binary Neural Network Implementation Based On MXNet

This is guest post by Haojin Yang, Martin Fritzsche, Christian Bartz, Christoph Meinel from the Hasso-Plattner-Institut, Potsdam Germany. We are excited to see research drive practical implementation of deep learning on low power devices. This work plays an important part in expanding powerful intelligent capabilities into our everyday lives. In recent years, deep learning technologies have […]

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