AWS Machine Learning Blog

This is a guest post by Ray Goh, a tech executive at DBS Bank.  AWS DeepRacer is an autonomous 1/18th scale race car powered by reinforcement learning, and the AWS DeepRacer League is the world’s first global autonomous racing league. It’s a fun and easy way to get started with machine learning (ML), regardless of […]

This blog post was last reviewed and updated April, 2022 with database schema updates. We’re excited to announce new efficiency improvements for Amazon Personalize. These improvements decrease the time required to train solutions (the machine learning models trained with your data) by up to 40% and reduce the latency for generating real-time recommendations by up […]

Amazon Rekognition content moderation is a deep learning-based service that can detect inappropriate, unwanted, or offensive images and videos, making it easier to find and remove such content at scale. Amazon Rekognition provides a detailed taxonomy of moderation categories, such as Explicit Nudity, Suggestive, Violence, and Visually Disturbing. You can now detect six new categories: […]

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. According to the 2018 National Highway Traffic Safety Administration […]

NFL’s Next Gen Stats (NGS) powered by AWS accurately captures player and ball data in real time for every play and every NFL game—over 300 million data points per season—through the extensive use of sensors in players’ pads and the ball. With this rich set of tracking data, NGS uses AWS machine learning (ML) technology […]

Effective October 1st, 2020, we’re reducing the prices for ml.p3 and ml.p2 instances in Amazon SageMaker by up to 18% so you can maximize your machine learning (ML) budgets and innovate with deep learning using these accelerated compute instances. The new price reductions apply to ml.p3 and ml.p2 instances of all sizes for Amazon SageMaker […]

In this post, we show you how to deploy a TensorFlow based YOLOv4 model, using Keras optimized for inference on AWS Inferentia based Amazon EC2 Inf1 instances. You will set up a benchmarking environment to evaluate throughput and precision, comparing Inf1 with comparable Amazon EC2 G4 GPU-based instances. Deploying YOLOv4 on AWS Inferentia provides the […]

AWS DeepComposer provides a creative and hands-on experience for learning generative AI and machine learning (ML). We recently launched the Edit melody feature, which allows you to add, remove, or edit specific notes, giving you full control of the pitch, length, and timing for each note. In this post, you can learn to use the […]

Over the past few years, many automatic speech recognition (ASR) services have entered the market, offering a variety of different features. When deciding whether to use a service, you may want to evaluate its performance and compare it to another service. This evaluation process often analyzes a service along multiple vectors such as feature coverage, […]

This blog post was last reviewed or updated April, 2022 with database schema updates. Amazon Personalize now makes it easier to manage your growing item and user catalogs with new APIs to incrementally add items and users in your datasets to create personalized recommendations. With the new putItems and putUsers APIs, you can simplify the […]