The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 08, 2025

Filed:

Feb. 28, 2022
Applicant:

Pulselight Holdings, Inc., Austin, TX (US);

Inventors:

Jonathan William Mugan, Buda, TX (US);

Laura Hitt, Austin, TX (US);

Jimmie Goode, Austin, TX (US);

Russ Gregory, Austin, TX (US);

Yuan Qu, Austin, TX (US);

Assignee:

Pulselight Holdings, Inc., Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/334 (2025.01); G06F 16/34 (2019.01); G06F 40/58 (2020.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 16/345 (2019.01); G06F 16/334 (2019.01); G06F 40/30 (2020.01); G06F 40/58 (2020.01); G06N 3/08 (2013.01);
Abstract

A recurrent neural network (RNN) method implemented on a computer system is used to produce summaries of unstructured text generated by multiple networks of individuals interacting over time by encoding the unstructured text into intermediate representations and decoding the intermediate representations into summaries of each network. Parameter data for the RNN is obtained by using multiple different versions of the same source texts to train the computer system. The method and computer system can be used to identify which of the networks match a query by determining which network generates the query with low or lowest cost.


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