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    Vehicle driver safety performance based on relativity
    2.
    发明授权
    Vehicle driver safety performance based on relativity 有权

    公开(公告)号：US12169805B2

    公开(公告)日：2024-12-17

    申请号：US18463434

    申请日：2023-09-08

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Brian Mark Fields

    IPC: G06Q10/0639

    Abstract: Systems, methods, and techniques for determining optimal safe driving behaviors and optimal safety thresholds of the various parameters for particular routes are disclosed. Historical driver data for a plurality of drivers operating vehicles over various routes during different contextual situations and/or different combinations of conditions along the routes is analyzed to determine respective, relative weightings/contributions of various parameters towards driving safety. Data indicative of a particular driver's behavior along a particular route during a particular set of conditions or contexts is obtained and compared to the analysis results to thereby determine or assess the driver's safety performance. The driver's safety performance may be evaluated in real-time, e.g., based on up-to-the-minute or currently obtained drivers' data, so as to provide the driver with evaluation results, provide the driver with suggestions for improving driving safety, and/or automatically adjust an operation of the vehicle while the vehicle is traversing the particular route.

    METHOD AND SYSTEM FOR ALERTING USERS OF ACCIDENT-PRONE LOCATIONS
    4.
    发明申请
    METHOD AND SYSTEM FOR ALERTING USERS OF ACCIDENT-PRONE LOCATIONS 有权

    公开(公告)号：US20240395138A1

    公开(公告)日：2024-11-28

    申请号：US18382180

    申请日：2023-10-20

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Joseph Robert Brannan ,  Vicki King ,  Brian Mark Fields ,  Nathan L. Tofte

    IPC: G08G1/0967 ,  G06F40/40 ,  G06Q40/08

    Abstract: Methods and systems for alerting a user of accident-prone locations are disclosed herein. In some embodiments, the method comprises: (1) receiving, by one or more processors and from a user device associated with the user, location data and motion data of the user device; (2) determining, by the one or more processors, based upon the motion data, that the user has started a trip; (3) loading, by the one or more processors, an accident density map surrounding a location of the user device based upon the location data; (4) determining, by the one or more processors, based upon the accident density map, at least one accident-prone location within a scope of the accident density map, wherein the at least one accident-prone location meets at least one predetermined criterion; and/or (5) presenting, by the one or more processors via the user device, an indication of the at least one accident-prone location.

    SCRAPING EMAILS TO DETERMINE PATENTABLE IDEAS
    5.
    发明公开
    SCRAPING EMAILS TO DETERMINE PATENTABLE IDEAS 审中-公开

    公开(公告)号：US20240291785A1

    公开(公告)日：2024-08-29

    申请号：US18443614

    申请日：2024-02-16

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Brian Mark Fields ,  Nathan L. Tofte ,  Joseph Robert Brannan ,  Vicki King ,  Justin Davis

    IPC: H04L51/21 ,  G06F40/40

    CPC classification number: H04L51/21 ,  G06F40/40

    Abstract: The following relates generally to using artificial intelligence (AI) and/or machine learning (ML) to identify patentable ideas from company emails. In some embodiments, one or more processors: access one or more email messages; identify, via a machine learning (ML) chatbot trained to analyze text and generate text, one or more patentable concepts in the one or more email messages; compare the one or more patentable concepts to a patent database including published patent applications with respective publication dates on or before the date of database access, wherein comparing includes generating a comparison document indicating at least one difference and/or at least one similarity between the one or more patentable concepts and the patent applications of the patent database, wherein the comparing includes using the ML chatbot; and generate, based upon the comparison, one or more novelty scores for each of the one or more patentable concepts.

    AI/ML CHATBOT FOR NEGOTIATIONS
    6.
    发明公开
    AI/ML CHATBOT FOR NEGOTIATIONS 审中-公开

    公开(公告)号：US20240291778A1

    公开(公告)日：2024-08-29

    申请号：US18378329

    申请日：2023-10-10

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Brian Mark Fields ,  Nathan L. Tofte ,  Joseph Robert Brannan ,  Vicki King ,  Justin Davis

    IPC: H04L51/02 ,  G06Q50/18

    CPC classification number: H04L51/02 ,  G06Q50/188

    Abstract: Systems and methods for an artificial intelligence (AI)/machine learning (ML) chatbot for intelligent negotiation of terms is disclosed herein. An exemplary computing system includes one or more processors; and a memory storing executable instructions thereon. When executed by the one or more processors, these instructions may cause the one or more processors to: receive, from a first contracting party during a negotiating period, a plurality of prospective terms for a contractual agreement; and determine, via an AI chatbot, whether the plurality of prospective terms are acceptable terms based on a plurality of parameters indicated by a second contracting party. Responsive to determining that the plurality of prospective terms are unacceptable terms, the instructions may further cause the processors to generate, via the AI chatbot, a plurality of counter terms based on the plurality of parameters; and transmit the plurality of counter terms to the first contracting party.

    Systems and Methods for Monitoring Water Usage in a Structure
    8.
    发明公开
    Systems and Methods for Monitoring Water Usage in a Structure 审中-公开

    公开(公告)号：US20240141628A1

    公开(公告)日：2024-05-02

    申请号：US18200279

    申请日：2023-05-22

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Brian Mark Fields ,  Shawn M. Call ,  Jaime Skaggs ,  Matthew S. Megyese

    IPC: E03B7/07

    CPC classification number: E03B7/072 ,  E03B7/003

    Abstract: A computer-implemented method of monitoring water usage includes generating and receiving first water usage data indicating a first plurality of water usage events associated with a structure, each of the first plurality of water usage events being associated with a respective location and/or entity. The method may also include generating, based upon the first water usage data, a baseline water usage model representing water usage over time locations and/or entities, and generating second water usage data indicating a second plurality of water usage events associated with the structure, each of the second plurality of water usage events being associated with a respective location and/or entity. The method may also include detecting, based upon the second water usage data and the baseline water usage model, anomalous water usage associated with a particular location and/or entity, and causing an indication of the anomalous water usage to be presented to a user.

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