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公开(公告)号：US20240362686A1
公开(公告)日：2024-10-31
申请号：US18238779
申请日：2023-08-28
Inventor： Aaron Williams , Joseph Harr , Scott T. Christensen , Ryan M. Gross
IPC: G06Q30/0282 , G06Q30/0217
CPC classification number: G06Q30/0282 , G06Q30/0217
Abstract: A computer-implemented method for providing feedback on driving behavior of a driver based upon driving behavior data associated with the driver may include, by one or more processors, (i) receiving driving behavior data associated with the driver; (ii) inputting the driving behavior data associated with the driver into a generative AI model to generate feedback about the driving behavior of a driver, wherein the generative AI model is trained using historical driving behavior to identify behavioral patterns in driving and configured to (a) correlate driving behavioral patterns with suggestions to improve driving, (b) analyze input driving behavior data associated with the driver to determine suggestions to improve the driving behavior of the driver, and (c) generate feedback regarding the driving behavior associated with the driver; and (iii) presenting, by the one or more processors, the feedback to the driver.
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公开(公告)号：US20240333728A1
公开(公告)日：2024-10-03
申请号：US18216035
申请日：2023-06-29
Inventor： Aaron Williams , Joseph Harr , Scott T. Christensen , Ryan M. Gross
CPC classification number: H04L63/1416 , G06N20/00
Abstract: A computer system for abnormal network traffic detection may include one or more processors configured to: transmit a prompt for abnormal network traffic detection code to an ML chatbot (or voice bot) to cause an ML model to generate the abnormal network traffic detection code, receive the abnormal network traffic detection code from the ML chatbot (or voice bot), detect abnormal network traffic, and/or report the abnormal network traffic to a user.
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公开(公告)号：US20240331068A1
公开(公告)日：2024-10-03
申请号：US18216420
申请日：2023-06-29
Inventor： Aaron Williams , Joseph Harr , Scott T. Christensen , Ryan M. Gross
IPC: G06Q50/16 , G06N3/045 , G06N3/09 , G06Q10/1093 , G06Q30/0601 , H04M3/493
CPC classification number: G06Q50/163 , G06N3/045 , G06N3/09 , G06Q10/1097 , G06Q30/0611 , G06Q30/0617 , H04M3/4936 , H04M2201/39
Abstract: A computer system for flood monitoring and remediation service provider notification, the computer system may include one or more processors configured to: detect a flood event in a structure, transmit information associated with the structure and a prompt for a flood remediation service quote to a machine learning (ML) chatbot to cause the ML chatbot to request flood cleanup from one or more remediation service providers, receive cost estimates from the one or more remediation service providers, receive schedule availability from the one or more remediation service providers, receive, from the ML chatbot, the cost estimates and the schedule availability, and communicate the cost estimates and/or the schedule availability to a user associated with the structure.
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64.发明公开公开(公告)号：US20240330504A1
公开(公告)日：2024-10-03
申请号：US18216226
申请日：2023-06-29
Inventor： Aaron Williams , Joseph Harr , Scott T. Christensen , Ryan M. Gross
CPC classification number: G06F21/6245 , H04L51/02
Abstract: A computer system for enforcing a privacy policy by scanning unstructured data may include one or more processors configured to: send a privacy policy and a prompt for privacy enforcement code to an ML chatbot (or voice bot) to cause an ML model to generate the privacy enforcement code, receive the privacy enforcement code from the ML chatbot (or voice bot), scan a set of unstructured data, detect one or more violations of the privacy policy in the set of unstructured data, and/or communicate the one or more violations to a user.
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公开(公告)号：US20240289851A1
公开(公告)日：2024-08-29
申请号：US18196682
申请日：2023-05-12
Inventor： Aaron Williams , Scott T. Christensen , Ryan Gross , Joseph P. Harr
IPC: G06Q30/0282 , G06F16/332 , G06Q30/0203
CPC classification number: G06Q30/0282 , G06F16/3329 , G06Q30/0203
Abstract: Systems and methods are described for identifying impactful elements in database information to generate a dialogue output. The method may include: (1) receiving, by one or more processors, internal database information at a generative artificial intelligence (AI) model, wherein the internal database information includes data associated with interaction dialogue; (2) analyzing, by the one or more processors, the internal database information via the generative AI model to generate an internal database analysis; (3) identifying, by the one or more processors and based upon at least the internal database analysis, one or more impact elements regarding human understanding of the internal database information via the generative AI model; and (4) generating, by the one or more processors and based upon at least the one or more impact elements, a dialogue output (or visual or virtual output) regarding the data via the generative AI model.
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Patent Agency Ranking
公开(公告)号：US20240289362A1
公开(公告)日：2024-08-29
申请号：US18196691
申请日：2023-05-12
Inventor： Aaron Williams , Scott T. Christensen , Ryan Gross , Joseph P. Harr
IPC: G06F16/332 , G06Q40/08 , G06Q50/00
CPC classification number: G06F16/3329 , G06Q40/08 , G06Q50/01
Abstract: Systems and methods are described for analyzing user data to generate a dialogue output. The method may include: (1) receiving, by one or more processors, an indication of a user identity for a user at a generative artificial intelligence (AI) model; (2) retrieving, by the one or more processors and based upon at least the user identity, user data from one or more publicly accessible sources; (3) determining, by the one or more processors and based upon at least the user data, one or more personalization characteristics associated with at least an information retention rate for the user via the generative AI model; and (4) generating, by the one or more processors and based upon at least the one or more personalization characteristics, a personalized dialogue output (or visual or virtual output for display) for the user via the generative AI model.
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公开(公告)号：US12043085B2
公开(公告)日：2024-07-23
申请号：US17850035
申请日：2022-06-27
Inventor： Aaron Williams , Joseph Robert Brannan , John Donovan , Brian N. Harvey
CPC classification number: B60H1/00735 , B60L1/02 , B60W60/0016 , B60W2510/244 , B60W2555/20
Abstract: Methods and systems for providing emergency heating in an electric vehicle (EV) running out of power are described herein. An on-board computer or mobile device in an EV may determine that an amount of charge remaining for powering the EV is below a threshold charge level. The on-board computer or mobile device may then route the remaining amount of charge to power a heating system in the EV to maintain a temperature in the EV above a threshold temperature level, and shut down power to other components within the EV.
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68.发明公开公开(公告)号：US20240169459A1
公开(公告)日：2024-05-23
申请号：US18459378
申请日：2023-08-31
Inventor： John R. Donovan , Joseph Robert Brannan , Aaron Williams , Jeffrey Wilson Stoiber , Bryan R. Nussbaum , EllaKate LeFebre
IPC: G06Q50/26 , G05B19/042 , G06Q90/00
CPC classification number: G06Q50/265 , G05B19/042 , G06Q90/205 , G05B2219/2642
Abstract: Techniques for detecting emergency conditions within structures and initiating remediation procedures are disclosed herein. An exemplary computer-implemented method may include detecting, by one or more processors, an emergency condition within a structure; and determining, by the one or more processors, a set of remediation services corresponding to the structure based upon the emergency condition. The exemplary computer-implemented method may further include identifying, by the one or more processors, one or more remediation service providers to perform the set of remediation services; and generating, by the one or more processors, a remediation alert signal that includes contact information corresponding to at least one of the one or more remediation service providers. The exemplary computer-implemented method may further include transmitting, by the one or more processors, the remediation alert signal to a user computing device of a user associated with the structure.
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公开(公告)号：US20240167469A1
公开(公告)日：2024-05-23
申请号：US18459360
申请日：2023-08-31
Inventor： John R. Donovan , Joseph Robert Brannan , Aaron Williams , Jeffrey W. Stoiber , Bryan R. Nussbaum , EllaKate LeFebre
CPC classification number: F04B49/065 , F04B49/10 , F04B51/00 , G06Q10/10
Abstract: Techniques for determining health statuses of devices within a structure are disclosed herein. An exemplary computer-implemented method includes receiving, at one or more processors, usage data corresponding to a device associated with the structure. The usage data may include at least electrical consumption data of the device. The exemplary method may further include determining, by the one or more processors, a usage level of the device based upon the usage data, and determining, by the one or more processors utilizing a device health model, a health status of the device based upon the usage level. The exemplary method may further include generating, by the one or more processors, a recommended usage adjustment for the device based upon the health status; and causing, by the one or more processors, the recommended usage adjustment to be displayed to a user.
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公开(公告)号：US11970180B1
公开(公告)日：2024-04-30
申请号：US15957687
申请日：2018-04-19
Inventor： Brian Mark Fields , Leo Nelson Chan , Kristopher Keith Gaudin , Aaron Williams
CPC classification number: B60W50/12 , B60W50/14 , G05D1/0061 , G05D1/0088 , G06Q40/08 , B60W2540/30 , G05D2201/0213
Abstract: Vehicles may have autonomous capabilities that permit the vehicle to navigate according to varying levels of participation by a human operator. A human operator may be associated with a driving capability profile and the environment surrounding a vehicle may be associated with an environmental risk profile. A vehicle, or another party in communication with a vehicle, may determine whether, based on the human operator's driving capability profile and the environmental risk profile, it is likely that the vehicle will be navigated more safely if there is a change to the vehicle's autonomous capabilities and a corresponding change to the human operator's driving responsibilities. If it is determined that a change in autonomous vehicle capability is likely to increase safe navigation of the vehicle, an insurer may offer an insurance premium cost reduction if the human operator agrees to the proposed change in autonomous capabilities.
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