AWS Machine Learning Blog

Earlier this week, AWS announced the availability of Model Server for Apache MXNet, an open source component built on top of Apache MXNet for serving deep learning models. Apache MXNet is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning. With Model Server for Apache MXNet, engineers are […]

Have you ever had the need to segment a data set based on some of its attributes? K-means is one of the most common machine learning algorithms used to segment data. The algorithm works by separating data into different groups, called clusters. Each sample is assigned a cluster so that the samples assigned to the […]

Today, Amazon Web Services (AWS), Facebook and Microsoft are pleased to announce that the Open Neural Network Exchange (ONNX) format is production ready. ONNX is an open standard format for deep learning models that enables interoperability between deep learning frameworks such as Apache MXNet, Caffe2, Microsoft Cognitive Toolkit, and PyTorch. ONNX 1.0 enables users to […]

Haptik is India’s first personal-assistant app. Users can use the app to plan travel, check in for flights, book taxis, and set reminders. And of all the different features, the most important and frequently used is the Reminders feature. People use Haptik to set wake-up calls, set up reminders to drink water, call people at different times, send greetings to others for different occasions, and much more. Through the reminders feature, users will receive notifications on the app along with a phone call at a requested time, relating the reminder message. In this post, we will cover how we use machine learning and text-to-speech (TTS) to set reminders for users – to call them at the given time to remind them of their tasks. We will cover how Amazon Polly helped us make personalized calls to our users and helped us scale our reminders feature to millions of users.

Today AWS announced contributions to the milestone 1.0 release of the Apache MXNet deep learning engine and the introduction of a new model serving capability for MXNet. These new capabilities (1) simplify training and deploying deep learning models, (2) enable implementation of cutting-edge performance enhancements, and (3) provide easy interoperability between deep learning frameworks. In […]

Based in Australia, Whooshkaa is a creative audio-on-demand podcast platform that helps publishers and advertisers reach their audiences. We’re always trying new products and techniques, and combining them to pioneer new solutions for our customers. The Amazon Polly Text-To-Speech (TTS) feature is a great example of this. Already, we have top-tier publishers, sporting bodies, and Australia’s biggest telecommunications company using Amazon Polly to augment their established delivery methods.

From autonomous robotics to state of-the-art computer vision, Caltech and Amazon have a lot in common, including the belief that pushing the boundaries of artificial intelligence (AI) and machine learning (ML) will not only disrupt industries, but it will fundamentally change the nature of scientific research. We believe these technologies have the potential to transform […]

April 2023 Update: Starting January 31, 2024, you will no longer be able to access AWS DeepLens through the AWS management console, manage DeepLens devices, or access any projects you have created. To learn more, refer to these frequently asked questions about AWS DeepLens end of life. AWS DeepLens provides a great opportunity to learn new […]

AWS DeepLens is a deep-learning-enabled developer toolkit with a video camera. It enables you to develop machine learning skills using hands-on computer vision tutorials, pre-built models and allows you to extend them. Examples of pre-built models include object detection to recognize and detect different objects in your room such as TV monitors, people and bottles, […]

April 2023 Update: Starting January 31, 2024, you will no longer be able to access AWS DeepLens through the AWS management console, manage DeepLens devices, or access any projects you have created. To learn more, refer to these frequently asked questions about AWS DeepLens end of life. AWS DeepLens is a deep learning enabled developer toolkit […]