Category: AWS re:Invent

Amazon SageMaker is a managed and infinitely scalable machine learning (ML) platform. With this platform, it is easy to build, train, and deploy machine learning models. Amazon SageMaker already has two popular built-in computer vision algorithms for image classification and object detection. The Amazon SageMaker image classification algorithm learns to categorize images into a set of […]

Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Today, we are introducing Custom Terminology, a feature that customers can use to customize Amazon Translate output to use company- and domain-specific vocabulary. By uploading and invoking Custom Terminology with translation requests, customers have the ability to ensure that their […]

We are excited to announce Amazon Comprehend Medical, a new HIPAA-eligible machine learning service that allows developers to process unstructured medical text and identify information such as patient diagnosis, treatments, dosages, symptoms and signs, and more. Comprehend Medical helps health care providers, insurers, researchers, and clinical trial investigators as well as health care IT, biotech, […]

Today we are excited to announce the availability of Dynamic Training (DT) for deep learning models, or DT for short. DT allows deep learning practitioners to reduce model training cost and time by leveraging the cloud’s elasticity and economies of scale. Our first reference implementation of DT is based on Apache MXNet, and is open sourced […]

Today, I’m excited to share that, for the first time, the same machine learning courses used to train engineers at Amazon are now available to all developers through AWS. We’ve been using machine learning across Amazon for more than 20 years. With thousands of engineers focused on machine learning across the company, there are very […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. re:Invent 2018 is almost here! As you plan your agenda, artificial intelligence (AI) is undoubtedly a hot topic on your list. This year we have a lot of great technical content on AI, machine learning (ML), and deep learning (DL)—with […]

To drive awareness of deep learning, machine learning, and the internet of things in autonomous driving, AWS hosted a hackathon—the Robocar Rally—at re:Invent in November 2017. We kicked off Robocar Rally in September with a series of blog posts and Twitch streams. At re:Invent, we had 100 attendees come for a hands-on two-day hackathon using deep learning and the open source Donkey Car platform with AWS machine learning services and AWS IoT. They formed teams, and built, customized, trained, and raced their own 1/16th scale cars. There’s a lot we could talk about, but we think this video shows the event better than we could write about it.

This is the second blog post in our series that teaches you how to build a 1/16th scale autonomous car. You can also tune in to our Twitch streams to review concepts discussed in these blogs. After following along with us, you can bring your own car to race at the re:Invent Robocar Rally 2017, […]

re:Invent 2017 is almost here! As you plan your agenda, machine learning is undoubtedly a hot topic on your list. This year we have a lot of great technical content in the Machine Learning track, with over 50 breakout sessions, hands-on workshops, labs, and deep-dive chalk talks. You’ll hear first-hand from customers and partners about […]