Category: *Post Types

The open-source Visual Asset Management System (VAMS) now supports GPU-accelerated reinforcement learning (RL) for robotic assets through integration with NVIDIA Isaac Lab. This pipeline enables teams to train and evaluate RL policies directly from their asset management workflow, leveraging AWS Batch for scalable GPU compute. Isaac Lab for Physical AI and Robotics Development Figure 1: […]

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 […]

AWS re:Invent 2025 is just around the corner, and Spatial Computing & Physical AI specialists will be on hand at the event to share exciting technical presentations, workshops, chalk talks and more. Please join us to learn how AWS infrastructure and services enable autonomous systems to perceive, understand, and act in the real world. Key […]

Introducing “The 3D Podcast: Spatial Computing on AWS” – Where Immersive Technology Meets Cloud Innovation We’re thrilled to announce the launch of “The 3D Podcast: Spatial Computing on AWS,” a new show dedicated to exploring the cutting-edge intersection of spatial computing and cloud technology. In an era where digital experiences are becoming increasingly immersive and […]

At DGG, our mission has always been to help enterprises scale their 3D data workflows, fast, reliably, and at production scale. With the upcoming launch of our new RapidPipeline plugins at SIGGRAPH 2025, we’re opening the door to seamless integration with the tools 3D professionals already use, and setting the stage for scalable, cloud-first workflows […]

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 […]

Topia’s Virtual Office, Powered by Topia’s Spatial Connection Engine Introduction This blog post explores the possibilities for spatial computing using peer-to-peer (P2P) webRTC and hybrid server-based approaches to state management. Thereby facilitating the transformation of any application into a game-like multiplayer social experience. Multiplayer game servers and their limitations Multiplayer game backends, such as Amazon […]

TwinKnowledge collaborated with AWS’s PACE team to develop a scalable computer vision and Large Language Model solution that efficiently processes thousands of architectural drawings while maintaining high accuracy, helping to reduce construction document errors and improve project efficiency through AI-augmented human review processes.

Introduction AWS re:Invent is just around the corner, and Spatial Computing specialists will be on hand at the event to share exciting technical presentations, workshops, chalk talks and more. Spatial computing seamlessly blends the digital and physical worlds, allowing us to interact with digital information in three-dimensional space. It encompasses augmented reality (AR), virtual reality […]

August 28, 2025: The instructions in this blog post have been implemented in an AWS Solution, Guidance for Open Source 3D Reconstruction Toolbox for Gaussian Splats on AWS, that includes an end-to-end pipeline for 3D reconstruction that is deployable via AWS Cloud Development Kit (CDK) or Terraform. To learn more, refer to the solution’s implementation guide and sample code. […]