AWS Machine Learning Blog

Even in today’s highly digital workplace, documents are often manually processed in many enterprise workflows, including workflows in financial services.  Alkymi, founded by a team from Bloomberg and x.ai, enlists automation to streamline this laborious and error-prone work. Using deep learning models hosted on Amazon SageMaker, Alkymi identifies patterns and relationships in unstructured data and […]

The new release of MXNet 1.4 for Amazon Elastic Inference now includes Java and Scala support. Apache MXNet is an open source deep learning framework used to build, train, and deploy deep neural networks. Amazon Elastic Inference (EI) is a service that allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker […]

During the past few years, the demand for machine learning specialists and engineers has soared. These two roles now rank among the top emerging jobs on LinkedIn. More recently, machine learning is being adopted by a wide range of industries, from medical diagnostic companies to finance firms and more. Udacity created the Intro to Machine […]

Robotics often involves training complex sequences of behaviors. For example, consider a robot designed to follow or track another object. Although the goal is easy to describe (the closer the robot is to the object, the better), creating the logic that accomplishes the task is much more difficult. Reinforcement learning (RL), an emerging Machine Learning […]

Amazon SageMaker Ground Truth helps you quickly build highly accurate training datasets for machine learning (ML). To get your data labeled, you can use your own workers, a choice of vendor-managed workforces that specialize in data labeling, or a public workforce powered by Amazon Mechanical Turk. The public workforce is large and economical but as […]

The AWS DeepRacer League is the first of its kind global autonomous racing league, providing developers of all skill levels with the opportunity to get hands-on with machine learning and have fun doing it. In another first for the AWS DeepRacer League, the race went truly global on April 17, 2019 as three live racing […]

In today’s connected world, it’s important for companies to monitor social media channels to protect their brand and customer relationships. Companies try to learn about their customers, products, and services through social media, emails, and other communications. Machine learning (ML) models can help address some of these needs. However, the process to build and train […]

On April 17th, 2019 Amazon Polly launched an Arabic female text-to-speech (TTS) voice called Zeina. This voice is clear and natural-sounding. The voice masters tongue twisters, and it can whisper, just like all other Amazon Polly products. Let’s hear Zeina introduce herself: Listen now Voiced by Amazon Polly Hello, my name is Zeina, I am the […]

The inaugural Amazon re:MARS event pairs the best of what’s possible today with perspectives on the future of machine learning, automation, robotics, and space travel. Based on the exclusive MARS event founded by Jeff Bezos, Amazon re:MARS brings together the world of business and technology in a premier thought-leadership event. With more than 100 sessions, […]

The AWS DeepRacer League, the world’s first autonomous racing league open to developers of all skill levels held a race in Singapore this week (April 10-11). This was the third of twenty races on the worldwide Summit Circuit.  Following the first two races in Santa Clara, California and Paris, France, excitement was building to see […]