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GooglePatent applicationNetworks & wirelessInterest 6/10

Google patents shrinking search queries for satellite connections

This filing describes a method where a device checks if a user's search request is too large to send over a satellite link within a set time. If it is too big, the device uses machine learning to shrink or change the data before sending it, along with context clues, so the server can still understand the request. The device then displays the text answer it receives back through the satellite connection.

Why it mattersThis could help keep search and information retrieval working when people are in remote areas or on planes where satellite internet is the only option, though satellite speeds are often slow.

In the filing’s own words

An example computing device connected with an accessible non-terrestrial network receives data indicative of a user input and determines whether an amount of the data exceeds a maximum amount of data that can be transmitted via the connection within a predetermined time frame. Responsive to determining the amount of the data exceeds the maximum amount of data, the computing device generates modified data by applying transformations to the data indicative of the user input. Responsive to determining an amount of the modified data does not exceed the maximum amount of data, the computing device transmits, to a computing system via the connection, the modified data and a prompt including context information for the computing device. The computing device receives, from the computing system, output generated by the computing system based on the modified data and the prompt. The computing device generates, for display, a user interface including the output.

What exactly they claim (claim 1)

1. A method comprising: establishing, by a computing device, a connection with at least one accessible non-terrestrial network; receiving, by the computing device, data indicative of at least one user input; determining, by the computing device, whether an amount of the data exceeds a maximum amount of data that can be transmitted via the connection within a predetermined time frame; responsive to determining the amount of the data exceeds the maximum amount of data, generating, by the computing device, modified data by applying one or more transformations to the data indicative of the at least one user input; responsive to determining an amount of the modified data does not exceed the maximum amount of data, transmitting, by the computing device, and to a computing system via the connection, the modified data and a prompt, wherein the prompt is indicative of context information for the computing device; receiving, by the computing device, and via the connection, at least one text output generated by the computing system based on the modified data and the prompt; and generating, by the computing device, and for display by a user interface device included in the computing device, the at least one text output.

Facts

Company
Google (Google LLC)
Official title
USING MACHINE LEARNING MODELS FOR INFORMATION RETRIEVAL DURING NON-TERRESTRIAL NETWORK COMMUNICATION
Publication number
US20260259914A1
Application number
19530897
Filed
Feb 5, 2026
Published
Sep 3, 2026
Inventors
3
Claims
20

Classified under

G06F 16/335 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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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.