Category: Generative AI

End-to-End solution for Training and Deploying Physical AI Policies on AWS at Scale Physical AI is artificial intelligence that operates in the real world through robots, autonomous vehicles, and smart factories. According to the Capgemini Research Institute, 79% of organizations are already engaging with Physical AI, and 60% of executives believe that physical AI will […]

Gaussian Splatting is dramatically lowering the cost and complexity of photorealistic 3D, making once impractical use cases like near real time capture, robotics, and simulation viable across media, construction, manufacturing, and real estate. AWS Physical AI | Blog #2 in the 3D Gaussian Splatting Series From Research Breakthrough to Business Advantage When we introduced 3D […]

Introduction: The missing layer in Physical AI on AWS Physical AI systems, those that perceive, reason, and act in the physical world, are moving fast from research into production deployments. Training policies in GPU-accelerated simulation compress months of real-world experience into hours of computing, without the cost, time, or safety risks of physical experimentation. A […]

Introduction In our previous blog, we demonstrated how NVIDIA Cosmos world foundation models on AWS address the data scarcity problem in physical AI: the challenge of training robust perception, prediction, and control models when real-world robot and sensor data is expensive, unsafe, or impractical to collect at scale. We introduced two production-ready architectures: Cosmos NIM […]

Introduction Imagine walking into a convenience store in Tokyo and watching a robot scan your items, bag your groceries, and restock the shelves — all without missing a beat. That’s not a vision of the future, it’s what happens when a world model running on AWS gives a robot the ability to imagine before it […]

The clean energy transition demands an unprecedented pace of solar farm deployment. But there is a bottleneck that rarely makes headlines: the physical installation of solar panels is still overwhelmingly manual, labor-intensive work. Each panel must be precisely placed onto racking structures, a process requiring careful alignment with centimeter-level accuracy. Luminous Robotics, a current MassRobotics […]

Introduction Edge intelligence is transforming manufacturing and logistics. Cameras and sensors now instrument every zone of a facility: loading docks, production lines, staging areas, aisles between racking. These devices produce continuous streams of operational data, yet most of it flows into storage without producing a timely, actionable answer. A warehouse operator looking for a specific […]

Config Intelligence Inc. (Config) is building the data infrastructure and technology necessary to realize General-Purpose Robot Foundation Models. They operate an end-to-end pipeline that spans from large-scale data collection and preprocessing to model training and real-world deployment, enabling robots to perform bimanual manipulation tasks reliably across diverse environments. To date, they have accumulated more than […]

Co-authored by AWS, Galeo Tech, and Multiverse Computing Introduction Physical AI, the class of systems that perceive, reason, and act in the real world, has a familiar progression. The initial prototype works and showcases a lot of promise. The second prototype extends functionality to a different device. The harder question comes next: how do we […]

Amazon Web Services would like to thank the UneeQ Engineering team for their contribution to this post Introduction UneeQ creates AI-powered digital humans that engage in natural conversations while displaying realistic facial expressions through real-time high-fidelity 3D rendering. Running these compute-intensive workloads, built on game engines like Unreal Engine, is inherently complex. That complexity multiplies […]