Spatials And The Next Frontier of Spatial AI: Wearables, Robots, And Mixed Reality How Spatial AI, wearables, and robots converge with VR/AR Spatials and Spatial prompts. The way …
Location-Based XR Spatials And The Future of Spatial GPS Location-based XR, Spatial GPS reliability, and how Spatials.ai connects venues with analytics. Theme parks, museums, …
Spatial AI Use Cases Spatials.ai tracks the Spatial AI startup directory and the Spatial computing platform ideas that give those companies room to grow. These are the core use …
VR Spatials, AR Spatials, And The AI Layer That Makes Them Intelligent Why VR Spatials and AR Spatials need Spatial AI, Spatial prompts, and analytics to stay aligned. Virtual and …
3D Scene Understanding 3D Scene Understanding is a core Spatial AI capability that interprets raw depth and imagery to identify objects, surfaces, and layout within an environment. …
Geospatial AI Geospatial AI focuses on applying machine learning to location-based data: satellite imagery, maps, GPS traces, and 3D city models. It powers use cases like land-use …
Indoor Positioning Indoor Positioning covers techniques for locating people and devices inside buildings, where GPS is weak or unavailable. Methods include Wi-Fi and BLE …
Location-Based Experiences Location-Based Experiences (LBEs) are apps and attractions whose core value depends on where the user is in the physical world-theme parks, museums, …
Mixed Reality Spatials Mixed Reality Spatials bridge full VR and pure AR by blending digital content with a continuously sensed view of the real world. In mixed reality headsets, …
Persistent Spatials Persistent Spatials are Spatials that remain available across sessions, devices, and time rather than existing only for a single user’s experience. A …
