Large Geospatial Model

A geospatial model that employs large-scale machine learning to understand scenes and connect millions of locations worldwide.

InternationalSelectionOthersSpatial IntelligenceMachine Learning

Visit

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.

- 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

The target audience includes AR technology enthusiasts
Geographic Information System (GIS) experts
urban planners
logistics companies
content creators

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

1. Users should first visit Niantic's official website to understand the basic concepts and functionalities of the LGM.
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

Visit

Large Geospatial Model Visit Over Time

Monthly Visits

3723119

Bounce Rate

61.40%

Page per Visit

2.8

Visit Duration

00:01:20

Large Geospatial Model Visit Trend

Large Geospatial Model Visit Geography

Large Geospatial Model Traffic Sources

Large Geospatial Model Alternatives

Wild2Avatar — A New Development in Robot Image Rendering

Image•Image Processing•Computer Vision

636

PromptWizard — Task-aware prompt optimization framework

Programming•Microsoft•LLM

228

Gemini 2.0 Flash Thinking — An AI model developed by Google, offering responses with enhanced reasoning capabilities.

InternationalSelection•Machine Learning•Reasoning

366

Gemini 2.0 Flash Experimental — A high-performance AI model developed by Google DeepMind

InternationalSelection•Machine Learning•Natural Language Processing

150

Astris AI — Astris AI is a division launched by Lockheed Martin that focuses on secure artificial intelligence solutions.

Others•Artificial Intelligence•Machine Learning

Phi Open Models — Phi Open Models are powerful, cost-effective, low-latency small language models.

Productivity•Machine Learning•Small Language Models

Recursal AI — Making artificial intelligence accessible

Productivity•Artificial Intelligence•Machine Learning

Apollo-LMMs — Exploration of Video Understanding in Large Multimodal Models

Video•Video Understanding•Multimodal Models

RWKV-6 Mixture of Experts — The largest model in the RWKV family, utilizing MoE technology to enhance efficiency.

Programming•Machine Learning•MoE

Q-RWKV-6 32B Instruct Preview — The most powerful variant of the RWKV model, breaking multiple English benchmark tests.

Programming•Machine Learning•Natural Language Processing

CosyVoice Speech Generation Model 2.0-0.5B — Efficient, multilingual speech synthesis model

Music•Speech Synthesis•Artificial Intelligence

180

Procyon AI Inference Benchmark for Android — A benchmarking tool for measuring AI performance and quality on Android devices.

Others•AI Performance•Benchmarking

Trillium TPU — The sixth-generation Tensor Processing Unit from Google, providing exceptional performance for AI workloads.

Productivity•Machine Learning•High-Performance Computing

OLMo-2-1124-7B-RM — A large language model for text generation and classification.

Productivity•Artificial Intelligence•Natural Language Processing

InternVL2_5-1B — A large multimodal language model that supports image and text understanding.

Image•Multimodal•Large Language Model

SPDL — A thread-based data loading solution that accelerates AI model training.

Productivity•Machine Learning•Data Loading

Countless.dev — AI model comparison tool, free and open-source

Productivity•AI models•comparison tool

Agentless — An agentless approach to automatically resolve software development issues

Programming•Automated Repair•Software Engineering

InternVL2_5-78B — Advanced multimodal large language model series

Image•Multimodal•Large Language Model

TRELLIS — 3D generation model for creating diverse, high-quality 3D assets

Image•3D Generation•Machine Learning

126

ChatGPT Pro — Scalable access plan for cutting-edge AI models.

InternationalSelection•Machine Learning•Data Science

264

GitHub Copilot — AI-driven code completion tool

InternationalSelection•Code Completion•Machine Learning

168

PaliGemma 2 — PaliGemma 2 is a powerful visual language model that is easy to fine-tune.

Productivity•Visual Language Model•Machine Learning

GraphCast — Deep Learning Weather Prediction Model

Others•Deep Learning•Weather Forecasting

Best AI Websites & Tools