AWS News Blog

Amazon Comprehend Launches Asynchronous Batch Operations

My colleague Jeff Barr last wrote about Amazon Comprehend, a service for discovering insights and relationships in text, when it launched at AWS re:Invent in 2017. Today, after iterating on customer feedback, we’re releasing a new asynchronous batch inferencing feature for Comprehend. Asynchronous batch operations work on documents stored in Amazon Simple Storage Service (Amazon […]

New – Amazon Linux WorkSpaces

Over two years ago I explained why I Love my Amazon WorkSpace. Today, with well over three years of experience under my belt, I have no reason to return to a local, non-managed desktop. I never have to worry about losing or breaking my laptop, keeping multiple working environments in sync, or planning for disruptive […]

New Collaborative Editing for Amazon WorkDocs – Powered by Hancom Thinkfree Office Online

I’ve got some important news for Amazon WorkDocs users. As a result of our partnership with Hancom, you can now edit Microsoft Office documents in your browser without having to install any applications or connect with another web service. You can quickly create a document, share it with team members, and let them make changes […]

Amazon Polly Plugin for WordPress Update – Translate and Vocalize Your Content

Earlier this year I showed you how to Give Your WordPress Blog a Voice with Amazon Polly and walked you through the steps involved in installing, configuring, and using the Amazon Polly for WordPress plugin. Today we are making this plugin even more powerful, adding the ability to translate your content into one or more […]

AWS DeepLens Now Shipping – Order One Today!

AWS DeepLens is a video camera that runs deep learning models directly on the device, out in the field. I wrote about the hardware and system software in depth last year; here’s a quick recap: Hardware – 4 megapixel camera (1080P video), 2D microphone array, Intel Atom® Processor, dual-band Wi-Fi, USB and micro HDMI ports, […]

Amazon SageMaker Automatic Model Tuning: Using Machine Learning for Machine Learning

Today I’m excited to announce the general availability of Amazon SageMaker Automatic Model Tuning. Automatic Model Tuning eliminates the undifferentiated heavy lifting required to search the hyperparameter space for more accurate models. This feature allows developers and data scientists to save significant time and effort in training and tuning their machine learning models. A Hyperparameter […]