AWS Machine Learning Blog

Annotation and segmentation of medical images is a laborious endeavor that can be automated in part via deep learning (DL) techniques. These approaches have achieved state-of-the-art results in generic segmentation tasks, the goal of which is to classify images at the pixel level. In Part 1 of this blog post, we demonstrate how to train […]

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. Today, we’re unveiling a fresh approach to the AWS […]

Amazon SageMaker recently released a feature that allows you to automatically tune the hyperparameter values of your machine learning model to produce more accurate predictions. Hyperparameters are user-defined settings that dictate how an algorithm should behave during training. Examples include how large a decision tree should be grown, the number of clusters desired from a […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. As an avid podcast listener, I had always wished for an easy way to glimpse at the transcript of an episode to decide whether I should add it to my playlist (not all episode abstracts are equally helpful!). Another challenge […]

New Engen is a cross-channel performance marketing technology company that uses its proprietary software products and creative solutions to help their clients acquire new customers. New Engen integrates marketing, AI, and creative expertise to provide a one-stop solution that helps their customers optimize their digital marketing budget across Facebook, Google, Instagram, Snap, and more. Improving […]

Amazon Rekognition is a deep-learning-based image and video analysis service that can identify objects, people, text, scenes, and activities, as well as detect any inappropriate content. Using the new Amazon Rekognition face filtering feature, you can now have control over the quality and quantity of faces you can index for face recognition. This saves on […]

Many companies are turning to machine learning (ML) to improve customer and business outcomes. They use the power of ML models built over “big data” to identify patterns and find correlations. Then they can identify appropriate approaches or predict likely outcomes based on data about new instances. However, as ML models are approximations of the […]

For increased security, Amazon SageMaker customers can now limit access to a notebook instance to a range of IP addresses. IP address filtering helps when you need to allow only a subset of traffic to access your notebook instances. You might want to limit notebook access in the following ways: To comply with security and compliance requirements […]

Amazon Polly is a fully managed service that turns text into lifelike speech. We’re excited to announce the support for Mandarin Chinese in Amazon Polly. Zhiyu is a clear, bright, and natural-sounding female voice. Let’s hear Zhiyu introduce herself. Click the play button to listen now: Listen now Voiced by Amazon Polly Zhiyu introduces herself in […]

Medical image processing is one of the key areas where deep learning is applied to great effect. Typical processing involves classification, detection, and segmentation using various medical image modalities. In this blog post, we outline a method to use the HIPAA Eligible service Amazon SageMaker to train a deep learning model for chest x-ray image […]