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Large Geospatial Model
Overview :
Niantic's Large Geospatial Model (LGM) is a pioneering concept designed to understand scenes through large-scale machine learning and connect them with millions of other global scenes. LGM enables computers to perceive and interpret physical space and interact with it in new ways, becoming a crucial component for AR glasses and a broader range of fields including robotics, content creation, and autonomous systems. As we transition from mobile phones to wearable technologies connected to the real world, spatial intelligence will become the operating system of the future.
Target Users :
The target audience includes AR technology enthusiasts, Geographic Information System (GIS) experts, urban planners, logistics companies, content creators, and any industry that requires precise spatial understanding and interaction. The LGM enhances users' ability to comprehend and utilize the physical world, thereby boosting efficiency and creativity.
Use Cases
1. In urban planning, the LGM helps planners understand city structures and layouts, optimizing urban design.
2. In the logistics sector, the LGM can be used to optimize delivery routes, improving delivery efficiency.
3. In the content creation field, the LGM assists creators in accurately placing virtual content in the real world, enhancing user experience.
Features
- Achieves understanding of scenes and global scene connectivity through large-scale machine learning.
- Operates at over one million locations using more than 50 million neural networks and over 150 trillion parameters.
- Provides key components for AR glasses and broader applications such as robotics, content creation, and autonomous systems.
- Allows computers to interact with physical spaces in innovative ways via the LGM.
- Facilitates the transition to wearable technologies linked to the real world, establishing spatial intelligence as the future operating system.
- Enables computers to understand the metric quality of 3D entities at specific geographical locations, fostering location-based spatial, structural, and physical interaction comprehension.
- Transitions from localized systems to shared understanding through global-scale models that facilitate communication and data sharing among local models.
- Simulates human perception and imagination of the world, enabling the ability to identify and conceive objects from different perspectives.
How to Use
1. Users should first visit Niantic's official website to understand the basic concepts and functionalities of the LGM.
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2. Users can begin using the LGM through Niantic's VPS service, contributing data by scanning real-world locations with their mobile devices.
3. Users can integrate the LGM into their applications or services using the provided API or tools.
4. Users can conduct spatial analysis with the LGM, such as accurately placing virtual objects in AR applications.
5. Users can utilize the LGM for route planning and navigation, enhancing logistics and traffic management efficiency.
6. Users can engage in spatial design and planning with the LGM to optimize urban and building layouts.
7. Users can leverage the LGM for content creation, seamlessly blending virtual content with the real world.
8. Users can explore new application scenarios and possibilities using the LGM for spatial intelligence research.
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