AWS Machine Learning Blog

We’re excited to announce the availability of two more data labeling services that you can use for your Amazon SageMaker Ground Truth labeling jobs: Data Labeling Services by iMerit’s US-based workforce Data Labeling Services by Startek, Inc. These new listings on the AWS Marketplace supplement the existing iMerit India-based workforce listing to provide you a […]

Amazon SageMaker enables developers and data scientists to build, train, tune, and deploy machine learning (ML) models at scale. You can deploy trained ML models for real-time or batch predictions on unseen data, a process known as inference. However, in most cases, the raw input data must be preprocessed and can’t be used directly for […]

Custom object detection has become an important enabler for a wide range of industries and use cases—such as finding tumors in MRIs, identifying diseased crops, and monitoring railway platforms. In this blog post, we build a bird identifier based on an annotated public dataset. This type of model could be used in a number of […]

Swedish startup Newstag uses artificial intelligence (AI) to allow customers to create personalized video news channels from major global news providers. Their mission is to continuously empower people and organizations with the latest, diverse information. To increase discoverability of video news from all around the world for their customers, Newstag creates rich metadata for each […]

At re:Invent 2018, AWS announced Amazon Elastic Inference (EI), a new service that lets you attach just the right amount of GPU-powered inference acceleration to any Amazon EC2 instance. This is also available for Amazon SageMaker notebook instances and endpoints, bringing acceleration to built-in algorithms and to deep learning environments. In this blog post, I […]

Machine learning (ML) allows governments to deliver better, more cost-effective, and citizen-friendly services. We talked with three Amazon Web Services (AWS) customers from government authorities and institutes who shared their stories about how ML helped them transform their services and their organizations. These customers gathered at an executive learning track curated particularly for European Government […]

At re:Invent 2018 we launched Amazon SageMaker Ground Truth, which can Build Highly Accurate Datasets and Reduce Labeling Costs by up to 70% using machine learning. Amazon SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, Amazon SageMaker Ground […]

In this blog post, I’ll discuss how to use Amazon SageMaker script mode to train models with TensorFlow’s eager execution mode. Eager execution is the future of TensorFlow; although it is available now as an option in recent versions of TensorFlow 1.x, it will become the default mode of TensorFlow 2. I’ll provide a brief […]

At the beginning of last year we announced an Amazon Polly plugin for WordPress. This plugin allows blog and website creators who are using WordPress to quickly and easily create audio versions of their posts, articles and websites. A few months later, we updated the plugin with the ability to quickly translate the content of […]

Gubagoo is the leading provider of advanced communication solutions for automotive dealers. Gubagoo understands that automotive customers want a personalized experience and helpful information whenever they purchase a car or book a service appointment. In addition, customers want to be communicated with in their native language. However, dealerships in the US have a difficult time […]