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Google patents AI system to analyze how events affect specific entities

Patent drawing
Patent drawing from the official filing.

Google describes a computer system that uses multiple machine learning models to automatically analyze how a specific event impacts a particular entity. The system works by generating hypotheses about the impact, gathering relevant background data, creating quantitative arguments, and synthesizing these into a final conclusion.

Why it mattersThis filing outlines a structured approach to automating complex impact analysis, which could help businesses or researchers quickly understand the consequences of various events without manual review.

In the filing’s own words

Aspects of the disclosed technology include computer-implemented systems and methods for utilizing specialized machine-learned sequence processing models to automate event analysis of an event's impact on an entity. The system can include a machine-learned system including models for generating hypothesis data based on event and entity data, generating background data, generating argumentation data including quantitative projections based on the hypothesis data and background data, and generating conclusion data based on synthesizing hypotheses and argumentation data.

What exactly they claim (claim 1)

1. A computer-implemented method for using machine learning to automate and improve event impact analysis, the method comprising: generating, with a machine-learned hypothesis generation model and based on at least one input including an indication of an event and retrieved background information associated with an entity, hypothesis data based on a pairing of the event and the entity; generating, with a machine-learned question generation model and based on at least one input including the indication of the event and the hypothesis data, background data associated with proof of at least one hypotheses; generating, with a machine-learned quantitative argumentation model, argumentation data based at least in part on the background data; and generating, with a machine-learned conclusion synthesis model and based on the at least one hypotheses, the background data, and the argumentation data, conclusion data including a representation of an analysis of an impact of the event on the entity.

Facts

Company
Google (Google LLC)
Official title
Machine-Learned Systems and Methods for Event Analysis
Publication number
US20260320474A1
Application number
19174631
Filed
Apr 9, 2025
Published
Oct 15, 2026
Inventors
3
Claims
20

Classified under

G06N 20/00 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.