AWS Machine Learning Blog

­ This is a guest post by AWS Machine Learning Hero Cyrus Wong. Staying connected with family, friends, and colleagues is easy for most people who live with or close to others. For educators who need to communicate lessons and schedules with their students, or businesses who communicate with new and existing customers, staying connected […]

November 2022: The solution described here is not the latest best practice. The new HuggingFace Deep Learning Container (DLC) is available in Amazon SageMaker (see Use Hugging Face with Amazon SageMaker). For customer training BERT models, the recommended pattern is to use HuggingFace DLC, shown as in Finetuning Hugging Face DistilBERT with Amazon Reviews Polarity dataset. […]

In October 2019, AWS announced that it was working with Facebook, Microsoft, and the Partnership on AI on the first Deepfake Detection Challenge. Deepfake algorithms are the same as the underlying technology that has given us realistic animation effects in movies and video games. Unfortunately, those same algorithms have been used by bad actors to […]

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. Working from home can be a big change to […]

AWS DeepRacer is a fully autonomous 1/18th scale race car powered by reinforcement learning (RL) that gives machine learning (ML) developers of all skill levels the opportunity to learn and build their ML skills in a fun and competitive way. AWS DeepRacer Evo includes new features and capabilities to help you learn more about ML […]

Convolutional neural networks (CNNs) achieve state-of-the-art results in tasks such as image classification and object detection. They are used in many diverse applications, such as in autonomous driving to detect traffic signs and objects on the street, in healthcare to more accurately classify anomalies in image-based data, and in retail for inventory management. However, CNNs […]

Update Sep 28, 2020 – New features: Amazon Comprehend custom entity recognition real-time endpoints now supports application auto scaling. Please refer to the section Auto Scaling with real-time endpoints in this post to learn more. Update Aug 12, 2020 – New features: Amazon Comprehend adds five new languages(Spanish, French, German, Italian and Portuguese) read here. Amazon […]

GPUs can significantly speed up deep learning training, and have the potential to reduce training time from weeks to just hours. However, to fully benefit from the use of GPUs, you should consider the following aspects: Optimizing code to make sure that underlying hardware is fully utilized Using the latest high performant libraries and GPU […]

Audio content consumption has grown exponentially in the past few years. Statista reports that podcast ad revenue will exceed a billion dollars in 2021. For the publishing industry and content providers, providing audio as an alternative option to reading could improve engagement with users and be an incremental revenue stream. Given the shift in customer […]

FORMULA 1 (F1) turns 70 years old in 2020 and is one of the few sports that combines real-time skill with engineering and technical prowess. Technology has always played a central role in F1; where the evolution of the rules and tools is built into the DNA of F1. This keeps fans engaged and drivers […]