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Microsoft patents AI that answers location questions using photos and GPS

Patent drawing
Patent drawing from the official filing.

This filing describes a system that combines a live photo, GPS coordinates, and a user's question to create a specific data point called a multimodal embedding. This data point is sent to a generative AI model, which uses it to compare the current view with known visual features of that location to craft an answer.

Why it mattersIt suggests a way for AI assistants to understand exactly where you are and what you are looking at, potentially making location-based search results more accurate and context-aware.

In the filing’s own words

This disclosure describes a location-based response system that utilizes multimodal embedding and generative artificial intelligence (AI) models to generate location-based responses for user queries. For example, the location-based response system receives a real-time image, real-time location data, and a user query from a client device and determines a multimodal embedding in a multimodal vector embedding space based on the real-time image and the real-time location data. The multimodal embedding is then provided to a generative AI model, together with the data received from the client device, with instructions to generate a user query response. Upon receiving the user query response from the generative AI model, the system may provide it to the client device. Indeed, the location-based response system generates location-based responses for user queries by utilizing identified multimodal embedding and by instructing a generative AI model to respond to the user query based on the identified multimodal embedding.

What exactly they claim (claim 1)

1. A computer-implemented method for generating location-based responses from multimodal embeddings using one or more generative artificial intelligence (AI) models, the computer-implemented method comprising: receiving a real-time image, real-time location data, and a user query from a client device; determining a multimodal embedding in a multimodal vector embedding space based on the real-time image and the real-time location data, wherein the multimodal embedding represents a location associated with the real-time location data and includes visual features of the location generated from one or more previous images of the location; providing the real-time image, the real-time location data, the user query, and the multimodal embedding to a generative AI model with instructions to generate a user query response to the user query based on the multimodal embedding by comparing visual features of the real-time image with the visual features of the location represented by the multimodal embedding; and providing the user query response to the client device in response to receiving the user query response from the generative AI model.

Facts

Company
Microsoft (Microsoft Technology Licensing, LLC)
Official title
GENERATING LOCATION-BASED RESPONSES BASED ON MULTIMODAL EMBEDDINGS AND GENERATIVE ARTIFICIAL INTELLIGENCE (AI) MODELS
Publication number
US20260300300A1
Application number
19096285
Filed
Mar 31, 2025
Published
Oct 1, 2026
Inventors
8
Claims
20

Classified under

G06F 16/24575 Physics & computingG06V 10/40 Physics & computingG06V 10/751 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.