AWS Spatial Computing Blog
Embodied AI Blog Series, Part 1: Getting Started with Robot Learning on AWS Batch
We have reached a milestone in technical evolution: the ability to use advanced AI models to influence not only the digital world but also the physical one. We are moving from AI that generates text to AI that moves atoms — augmenting our daily lives by folding clothes, organizing logistics, and reasoning through complex physical […]
Build a Spatial Object Tracking Pipeline with Create ML using Amazon EC2 Mac Instances
Introduction Apple’s Create ML enables developers to train powerful machine learning models without deep machine learning expertise, simplifying the path from concept to production. A new feature with Apple’s Create ML tool enables object tracking to be trained directly from the command line, unlocking faster and more scalable workflows. This is especially valuable for teams […]
Apple Vision Pro and AWS Amplify Part 3 – Database
Continuing our series on Getting Started with Vision Pro on AWS, in this post we show how you can use AWS Amplify to quickly get started building with the Apple Vision Pro using Xcode and Amazon Web Services (AWS). This is Part 3 of the three part tutorial series. If you have not previously followed […]
Apple Vision Pro and AWS Amplify Part 2 – Storage
Continuing our series on Getting Started with Vision Pro on AWS, in this post we show how you can use AWS Amplify to quickly get started building with the Apple Vision Pro using Xcode and Amazon Web Services (AWS). This is Part 2 of the three part tutorial series. If you have not previously followed […]
Apple Vision Pro and AWS Amplify Part 1 – Authentication
Continuing our series on Getting Started with Vision Pro on AWS, in this post we show how you can use AWS Amplify to quickly get started building with the Apple Vision Pro using Xcode and Amazon Web Services (AWS). AWS Amplify is a great tool to deploy an AWS backend with a visionOS front-end quickly. […]




