AWS Compute Blog
Category: Artificial Intelligence
Creating a serverless face blurring service for photos in Amazon S3
A serverless face blurring service can provide a simpler way to process photos in workloads with large amounts of traffic. This post introduces an example application that blurs faces when images are saved in an S3 bucket. The S3 PutObject event invokes a Lambda function that uses Amazon Rekognition to detect faces and GraphicsMagick to process the images.
Building a serverless multiplayer game that scales: Part 2
This post shows how you can add scaling support for a game via automation. The example uses Amazon Rekognition to check images for unacceptable content and uses asynchronous architecture patterns with Step Functions and HTTP WebPush.
Deploying machine learning models with serverless templates
This post written by Sean Wilkinson, Machine Learning Specialist Solutions Architect, and Newton Jain, Senior Product Manager for Lambda After designing and training machine learning models, data scientists deploy the models so applications can use them. AWS Lambda is a compute service that lets you run code without provisioning or managing servers. Lambda’s pay-per-request billing, automatic […]
Processing satellite imagery with serverless architecture
This post shows how to deploy an imagery processing pipeline in the AWS Cloud. It is decoupled to allow both pre and post-processing extensions to be integrated into the pipeline more easily. Visit the code repository for further information.
Building an image searching solution with the AWS CDK
This post discusses a fully serverless architecture for searching images based on their contents. It shows how this architecture is decoupled and stateless by using S3 events, SQS messages, an EventBridge bus, and Amazon Aurora Serverless.
Getting started with RPA using AWS Step Functions and Amazon Textract
This post is courtesy of Joe Tringali, Solutions Architect. Many organizations are using robotic process automation (RPA) to automate workflow, back-office processes that are labor-intensive. RPA, as software bots, can often handle many of these activities. Often RPA workflows contain repetitive manual tasks that must be done by humans, such as viewing invoices to find […]
Building a serverless document scanner using Amazon Textract and AWS Amplify
This guide demonstrates creating and deploying a production ready document scanning application. It allows users to manage projects, upload images, and generate a PDF from detected text. The sample can be used as a template for building expense tracking applications, handling forms and legal documents, or for digitizing books and notes. The frontend application is […]
Using serverless backends to iterate quickly on web apps – part 3
Previously in this series, you deploy a simple workflow for processing image uploads in the Happy Path web application. In this post, you add progressively more complex functionality by deploying new versions of workflows.
Learn why AWS is the best cloud to run Microsoft Windows Server and SQL Server workloads
Fred Wurden, General Manager, AWS Enterprise Engineering (Windows, VMware, RedHat, SAP, Benchmarking) For companies that rely on Windows Server but find it daunting to move those workloads to the cloud, there is no easier way to run Windows in the cloud than AWS. Customers as diverse as Expedia, Pearson, Seven West Media, and RepricerExpress have […]
TensorFlow Serving on Kubernetes with Amazon EC2 Spot Instances
This post is contributed by Kinnar Sen – Sr. Specialist Solutions Architect, EC2 Spot TensorFlow (TF) is a popular choice for machine learning research and application development. It’s a machine learning (ML) platform, which is used to build (train) and deploy (serve) machine learning models. TF Serving is a part of TF framework and is […]