AWS is not content to cede any part of any market to any company. When it comes to machine learning chips, names like Nvidia or Google come to mind, but today at AWS re:Invent in Las Vegas, the ...

The engine abstracts the complexity typically associated with machine learning projects and automates processes like data analysis and model training. There are visualizations and APIs to help ...

Achieving the AWS Machine Learning Competency differentiates SoftServe as an AWS Partner Network (APN) member that has built solutions that help organizations solve their data challenges, enable ...

Companies like Netflix have been using AWS tools to undertake machine learning tasks for some time, but as Jassy said, “it’s hard work”, and AWS wanted to create a service specifically ...

AWS Trainium also features innovations that address challenges unique to machine learning. Stochastic rounding, for instance, is a probabilistic approach to rounding up or down based on a random ...

Building on top of those initial benefits, Hotels.com has been using AWS machine learning services to deploy a variety of modules that add more intelligent capabilities to processes such as bidding on ...

New open source deep learning interface allows developers to more easily and quickly build machine learning models without compromising training performance. Jointly developed reference specification ...

AWS's Amazon SageMaker software, a set of tools for deploying machine learning, is not only spreading throughout many companies, it is becoming a key tool for some of the more demanding kinds of ...

The following content is from an older version of this website, and may not display correctly. Amazon Web Services (AWS) is offering advanced machine learning capabilities as a cloud-based service ...