How mobility gives language models a deeper understanding of place

Google Research Blog
Read full post
Researchers developed Mobility-Embedded POIs (ME-POIs), a framework that integrates anonymized mobility data with text-based language models to capture the dynamic activity patterns of places, enhancing predictions of attributes like opening hours and busyness.

More on this story


More in Machine Learning

Machine Learning4 min read

DeepSeek launches V4.1-Flash and retires V4-Pro, its flagship model

Covered by 2 sources
Machine Learning4 min read

Mistral wants open-weight AI to compete at the frontier. It just raised $3.5 billion to do it.

The New Stack (AI)
Machine Learning4 min read

Salesforce introduces Enterprise AI Harness, AI Control Plane

SiliconANGLE