Category: Artificial Intelligence

Join us this month to learn about AWS services and solutions featuring topics on Amazon EMR, Amazon SageMaker, AWS Lambda, Amazon S3, Amazon WorkSpaces, Amazon EC2 Fleet and more! We also have our third episode of the “How to re:Invent” where we’ll dive deep with the AWS Training and Certification team on Bootcamps, Hands-on Labs, […]

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 […]

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 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, […]

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 […]

We have seen a lot of discussion this past week about the role of Amazon Rekognition in facial recognition, surveillance, and civil liberties, and we wanted to share some thoughts. Amazon Rekognition is a service we announced in 2016. It makes use of new technologies – such as deep learning – and puts them in […]

Today, at the AWS Summit in Tokyo we announced a number of updates and new features for Amazon SageMaker. Starting today, SageMaker is available in Asia Pacific (Tokyo)! SageMaker also now supports CloudFormation. A new machine learning framework, Chainer, is now available in the SageMaker Python SDK, in addition to MXNet and Tensorflow. Finally, support […]

Today I’m excited to announce a new Machine Learning Competency for Consulting Partners in the AWS Partner Network (APN). This AWS Competency program allows APN Consulting Partners to demonstrate a deep expertise in machine learning on AWS by providing solutions that enable machine learning and data science workflows for their customers. This new AWS Competency […]