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公开(公告)号:US20240362692A1
公开(公告)日:2024-10-31
申请号:US18597514
申请日:2024-03-06
Inventor: Aaron Williams , Scott T. Christensen , Joseph P. Harr , Ryan M. Gross
IPC: G06Q30/0601 , G06Q30/0283
CPC classification number: G06Q30/0611 , G06Q30/0283
Abstract: A computer-implemented method may include, by one or more processors and/or associated transceivers: (1) detecting a signal that a buyer would like to purchase a vehicle, wherein the signal indicates a vehicle type of the vehicle; and/or (2) inputting the vehicle type into a generative artificial intelligence (AI) model. The generative AI model is trained on transactional data associated with vehicle purchases to learn a relationship between vehicle purchase terms and buyer characteristics, and is configured to: (i) identify one or more sellers of the vehicle type; (ii) establish a communication coupling with the one or more sellers of the vehicle type; (iii) automatically negotiate, with the one or more sellers, one or more terms for purchasing available vehicles of the vehicle type; and/or (iv) present the terms to the buyer to facilitate purchase of a particular vehicle of the available vehicles from a particular seller.
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公开(公告)号:US12130622B2
公开(公告)日:2024-10-29
申请号:US18206414
申请日:2023-06-06
Inventor: Brian Mark Fields , Leo Nelson Chan , Kristopher Keith Gaudin , Aaron Williams
CPC classification number: G05D1/0061 , G05D1/0088 , B60W2050/007 , B60W2050/0072
Abstract: Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.
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83.
公开(公告)号:US20240330654A1
公开(公告)日:2024-10-03
申请号:US18216281
申请日:2023-06-29
Inventor: Aaron Williams , Joseph Harr , Scott T. Christensen , Ryan M. Gross
Abstract: A computer system for personalized planning may include one or more processors configured to: receive from a user a request for personalized assistance with an objective, send an identification of the user and a prompt for the personalized assistance with the objective to an ML chatbot (or voice bot) to cause an ML model to divide the objective into one or more discrete steps and generate personalized instructions for performing the one or more discrete steps, receive the personalized instructions for performing the one or more discrete steps from the ML chatbot (or voice bot), and communicate the personalized instructions for performing the one or more discrete steps to the user.
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84.
公开(公告)号:US20240330151A1
公开(公告)日:2024-10-03
申请号:US18215981
申请日:2023-06-29
Inventor: Aaron Williams , Joseph Harr , Scott T. Christensen , Ryan M. Gross
IPC: G06F11/36
CPC classification number: G06F11/3624
Abstract: A computer system for inspecting source code for security vulnerabilities may include one or more processors configured to: send source code and a prompt for code checking to an ML chatbot (or voice bot) to cause an ML model to inspect the source code for security vulnerabilities, determine whether there is a security vulnerability in the source code based on a response from the ML chatbot (or voice bot), and/or responsive to determining that there is a security vulnerability in the source code, communicate the security vulnerability to a user associated with the source code.
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公开(公告)号:US20240289596A1
公开(公告)日:2024-08-29
申请号:US18196700
申请日:2023-05-12
Inventor: Aaron Williams , Scott T. Christensen , Ryan Gross , Joseph P. Harr
IPC: G06N3/0475 , G06Q40/08
CPC classification number: G06N3/0475 , G06Q40/08
Abstract: Systems and methods are described for analyzing home telematics data to generate a dialogue output. The method may include: (1) receiving, by one or more processors, home telematics data at a generative artificial intelligence (AI) model, wherein the home telematics data includes sensor data regarding a property associated with a user; (2) analyzing, by the one or more processors and using the generative AI model, the home telematics data to generate a home telematics analysis for the property; and (3) generating, by the one or more processors and using the generative AI model, a dialogue output (or visual or virtual output for display) to present to the user based upon at least the home telematics analysis, wherein the dialogue output is further generated based upon at least a predicted user understanding of the dialogue output.
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公开(公告)号:US12067819B2
公开(公告)日:2024-08-20
申请号:US17092589
申请日:2020-11-09
Inventor: Kristopher Keith Gaudin , Andrew Joseph Zeglin , Joseph Harr , Aaron Williams , Craig Cope
IPC: B60W50/04 , B60W40/09 , B60W50/08 , B60W50/12 , B60W50/14 , G06Q30/0207 , G06Q40/08 , G07C5/00 , G07C5/08 , B60W40/08 , B60W50/00
CPC classification number: G07C5/085 , B60W40/09 , B60W50/045 , B60W50/085 , B60W50/12 , B60W50/14 , G06Q30/0207 , G06Q40/08 , G07C5/008 , G07C5/0816 , B60W2040/0818 , B60W2050/0063 , B60W2050/046 , B60W2050/143
Abstract: A system and computer-implemented method detect and act upon deactivated vehicle components. The system and method include receiving measurements data associated with driving activity. The measurements data includes an indication that at least one feature of an Advanced Driver Assistance System (ADAS) of a vehicle has been deactivated for a driving activity. The system and method may include receiving historical driving data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the measurements data to the historical driving data, determine a likelihood level that the feature of the ADAS would have provided the alert had the feature been activated based upon the comparing, and set, based at least upon the determining, at least a portion of an operator profile associated with an operator of the vehicle with the likelihood level.
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公开(公告)号:US20240183133A1
公开(公告)日:2024-06-06
申请号:US18459341
申请日:2023-08-31
Inventor: John R. Donovan , Joseph Robert Brannan , Aaron Williams , Jeffrey Wilson Stoiber , Bryan R. Nussbaum , EllaKate LeFebre
IPC: E03B7/07
Abstract: Techniques are described herein for detecting status changes to fluid flow devices. An exemplary computer-implemented method may include (1) receiving, from a sensor disposed proximate to a fluid flow device, a vibration signal; (2) determining a current flow rate within the fluid flow device based upon the vibration signal; (3) detecting a status change of the fluid flow device based upon a comparison between the current flow rate and a prior flow rate; (4) determining a recommended remediation action to adjust the current flow rate to the prior flow rate; and (5) generating an alert signal indicating the status change and the recommended remediation action.
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公开(公告)号:US20240167864A1
公开(公告)日:2024-05-23
申请号:US18459334
申请日:2023-08-31
Inventor: John R. Donovan , Joseph Robert Brannan , Aaron Williams , Jeffrey Wilson Stoiber , Bryan R. Nussbaum , EllaKate LeFebre
IPC: G01F23/00 , G06F3/01 , G06F3/04815 , G06T19/00
CPC classification number: G01F23/0007 , G06F3/011 , G06F3/04815 , G06T19/00 , B64U10/00
Abstract: Techniques for detecting water hazard conditions proximate to a structure are disclosed herein. An exemplary computer-implemented method may include receiving, from a sensor disposed proximate to the structure, a water level signal, and determining a water level proximate to the structure based upon the water level signal. The exemplary computer-implemented method may further include detecting, by executing a water hazard model, a water hazard condition based upon the water level proximate to the structure, and determining (i) a recommended mitigation action to mitigate damage to the structure from the water hazard condition and (ii) a cause of the water hazard condition. The exemplary computer-implemented method may further include generating an alert signal indicating the water hazard condition and the recommended mitigation action.
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89.
公开(公告)号:US20240146532A1
公开(公告)日:2024-05-02
申请号:US18496158
申请日:2023-10-27
Inventor: Seth L. Corin , Aaron Williams
CPC classification number: H04L9/3213 , H04L9/50
Abstract: A computer system for generating and maintaining non-fungible tokens for real-time subject assessment is described herein. The computer system includes at least one processor in communication with at least one memory device, the at least one processor programmed to: (i) receive a plurality of data associated with a subject history of a subject; (ii) generate a container file for the subject history to include the plurality of data; (iii) generate a non-fungible token (NFT) for the subject based upon the container file; (iv) store the NFT and the container file for the subject; (v) retrieve the NFT to access the plurality of data; and (vi) input the plurality of data to a trained model to receive an initial subject assessment as output from the trained model.
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公开(公告)号:US20240127193A1
公开(公告)日:2024-04-18
申请号:US17980193
申请日:2022-11-03
Inventor: Aaron Williams
IPC: G06Q20/36
CPC classification number: G06Q20/3672 , G06Q2220/00
Abstract: The present systems and methods relate generally to using non-fungible tokens (NFTs) to manage durable asset data regarding durable assets. In some embodiments, systems and methods may include associating subsets of durable asset usage data with individuals, such as durable asset usage data during time intervals the individuals were associated with the assets. The systems and methods may evaluate durable assets and/or associated individuals based upon asset usage data and may generated recommendations regarding durable assets, such as recommendations regarding maintenance or repairs of the durable assets.
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