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:
Dec. 10, 2024

Filed:

Mar. 07, 2023
Applicant:

Cerebri Ai Inc., Austin, TX (US);

Inventors:

Sathish Kumar Lakshmipathy, Round Rock, TX (US);

Eyal Ben Zion, Toronto, CA;

David Alexander Curry, Austin, TX (US);

Alain Charles Briancon, Germantown, MD (US);

Michael Henry Engeling, Austin, TX (US);

Dmitrii Aleksandrovich Boldyrev, Richmond Hill, CA;

Sara Amini, Fairfax, VA (US);

Assignee:

Cerebri AI Inc., Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61N 1/00 (2006.01); G06F 16/901 (2019.01); G06N 5/01 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/9024 (2019.01); G06N 5/01 (2023.01); G06N 5/04 (2013.01); G06N 20/20 (2019.01);
Abstract

Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.


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