AWS Spatial Computing Blog

Self-Driving Labs® are no longer a vision Developing a new drug takes an average of 10-15 years and costs over $2 billion. For patients waiting on life-saving treatments, every month of R&D delay matters. The bottleneck isn’t a lack of scientific talent, it’s the sheer scale of experimentation required. A single drug optimization campaign might […]

From Hospital Walls to the Home — A New Era of Intelligent Care Healthcare has long been defined by a fundamental constraint: the best care requires physical presence — patients travel to hospitals, clinicians are bound to facilities, and monitoring depends on proximity. But what if AWS-powered intelligence could follow the patient — anywhere, anytime? That is […]

Introduction New techniques in 3D world modeling and AI-driven scene interpretation are unleashing a revolution in industries such as mining and construction. The global LiDAR market — valued at USD 2.74 billion in 2024 and projected to reach USD 4.71 billion by 2030 (9.5% CAGR) is generating unprecedented volumes of spatial sensor data. A single […]

Introduction  Computer vision workloads are compute-intensive and expensive, forcing developers to choose between performance and cost when processing millions of images for applications ranging from autonomous vehicles to medical diagnostics. OpenCV (Open Computer Vision) is an open-source library designed to make computer vision and image processing fast, easy to use, and portable. It’s one of […]

Introduction Answering technical questions that span multiple specialties is rarely just about finding the right answer. One of the hardest parts is often coordinating the right people to provide it. What if AI could augment this coordination—not by replacing expert teams, but by accelerating their initial research and synthesis? When complex technical questions span multiple […]

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: […]

Introduction The world is moving towards an Autonomous Economy which represents a transformative economic model where AI, edge computing, robotics, spatial intelligence, and simulation technologies work together to enable systems to operate autonomously with minimal human intervention. Physical AI represents the convergence of these technologies enabling computers to sense, understand, predict, and act with the […]

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 […]

The Challenge of Nutrient Management in Agriculture For decades, fertilizers have been essential to producing healthy crops and maintaining yield. Yet in many orchards today, especially those growing pistachios, grapes, and almonds across California, the benefits of extra fertilizer are beginning to level off. Growers often apply more nutrients than the plants actually need because […]