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公开(公告)号：US20240333746A1
公开(公告)日：2024-10-03
申请号：US18215992
申请日：2023-06-29
IPC分类号： H04L9/40
CPC分类号： H04L63/1433 , H04L63/1441 , H04L63/20
摘要： A computer system for network security vulnerability inspection may include one or more processors configured to: transmit a prompt for network security vulnerability testing code to an ML chatbot (or voice bot) to cause an ML model to generate the network security vulnerability testing code, receive the network security vulnerability testing code from the ML chatbot (or voice bot), scan a network to identify network computing devices, scan one or more of the network computing devices to identify security vulnerabilities and vulnerable network computing devices, and/or communicate the security vulnerabilities and/or vulnerable network computing devices to a user.
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公开(公告)号：US20240362697A1
公开(公告)日：2024-10-31
申请号：US18597450
申请日：2024-03-06
IPC分类号： G06Q30/0601 , G06Q30/0283
CPC分类号： G06Q30/0631 , G06Q30/0283
摘要： A computer-implemented method for providing vehicle suggestions to a buyer, the method including, by one or more processors (i) detecting a signal that the buyer is interested in purchasing a vehicle; (ii) obtaining driver data associated with a driver; (iii) inputting the driver data associated with the driver into a generative artificial intelligence (AI) model to generate vehicle suggestions for the driver, wherein the generative AI model is trained on vehicle data to identify vehicle traits and is configured to (a) associate vehicle traits with different vehicles, (b) associate driver data with vehicle traits, (c) analyze data associated with the driver to identify vehicle traits associated with a driver, (d) determine, based upon the desired vehicle traits associated with the driver, vehicle suggestions, and/or (e) generate an output including vehicle suggestions for the driver; and/or (iv) presenting the vehicle suggestions to the buyer.
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公开(公告)号：US11798055B1
公开(公告)日：2023-10-24
申请号：US17147209
申请日：2021-01-12
发明人： Joseph R. Brannan , Benjamin J. Tucker , Ryan M. Gross , Michael A. Myers , Darwin G. Beachy , M. Eric Riley, Sr. , Brian N. Harvey
IPC分类号： G06Q30/0283 , G06Q30/0601 , G06Q10/20 , G07C5/00
CPC分类号： G06Q30/0627 , G06Q10/20 , G06Q30/0283 , G06Q30/0629 , G07C5/008
摘要： Provided herein is a computing system including a processor in communication with at least one memory. The processor is configured to (i) build a model using historical vehicle telematics data and historical vehicle data, the model configured to: (a) predict an operating cost of a vehicle based upon a vehicle type and user data and (b) output operational parameters for operating the vehicle, (ii) receive a vehicle acquisition request for a selected vehicle including vehicle data for the selected vehicle and selected user data for the user of the selected vehicle, (iii) input the vehicle acquisition request data into the model, and (iv) output from the model an acquisition cost and operational parameters for the selected vehicle and the selected user including a procurement cost for the selected vehicle and an operating cost for operating the selected vehicle within the operational parameters for a predetermined time period.
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公开(公告)号：US20240331047A1
公开(公告)日：2024-10-03
申请号：US18216449
申请日：2023-06-29
IPC分类号： G06Q40/08 , G06N3/045 , G06Q30/0601
CPC分类号： G06Q40/08 , G06N3/045 , G06Q30/0617 , H04L51/02
摘要： A computer system for flood monitoring and insurance 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 flood reimbursement services to a machine learning (ML) chatbot to cause the ML chatbot to file a flood reimbursement claim with an insurance provider having an insurance policy associated with the structure via telephone by converting a text output into a voice output.
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公开(公告)号：US20240331043A1
公开(公告)日：2024-10-03
申请号：US18216346
申请日：2023-06-29
IPC分类号： G06Q40/06
CPC分类号： G06Q40/06
摘要： A computer system for automated investment advising may include one or more processors configured to: receive from an investor an investment strategy, send the investment strategy and a prompt for investment instructions to an ML chatbot (or voice bot) to cause an ML model to generate the investment instructions, and receive the investment instructions from the ML chatbot (or voice bot).
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公开(公告)号：US20240328410A1
公开(公告)日：2024-10-03
申请号：US18216374
申请日：2023-06-29
CPC分类号： F04B51/00 , G06Q10/20 , G08B21/187 , F04B2207/70
摘要： A computer system for sump pump monitoring and repair service provider notification may include one or more processors configured to: detect that a sump pump is faulty, transmit a prompt for service quotes to a machine learning (ML) chatbot to cause the ML chatbot to: request sump pump replacement or repair services from one or more service providers, receive cost estimates from the one or more repair service providers, receive schedule availability from the one or more repair 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 sump pump.
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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
IPC分类号： G06Q30/0601 , G06Q30/0283
CPC分类号： G06Q30/0611 , G06Q30/0283
摘要： 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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8.发明公开公开(公告)号：US20240330654A1
公开(公告)日：2024-10-03
申请号：US18216281
申请日：2023-06-29
摘要： 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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9.发明公开公开(公告)号：US20240330151A1
公开(公告)日：2024-10-03
申请号：US18215981
申请日：2023-06-29
IPC分类号： G06F11/36
CPC分类号： G06F11/3624
摘要： 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：US20240013273A1
公开(公告)日：2024-01-11
申请号：US18472909
申请日：2023-09-22
发明人： Joseph R. Brannan , Benjamin J. Tucker , Ryan M. Gross , Michael A. Myers , Darwin G. Beachy , M. Eric Riley, Sr. , Brian N. Harvey
IPC分类号： G06Q30/0283 , G07C5/02
CPC分类号： G06Q30/0283 , G07C5/02
摘要： Provided herein is a computing system including a processor in communication with at least one memory. The processor is configured to (i) build a model using historical vehicle telematics data and historical vehicle data, the model configured to: (a) predict an operating cost of a vehicle based upon a vehicle type and user data and (b) output operational parameters for operating the vehicle, (ii) receive a vehicle acquisition request for a selected vehicle including vehicle data for the selected vehicle and selected user data for the user of the selected vehicle, (iii) input the vehicle acquisition request data into the model, and (iv) output from the model an acquisition cost and operational parameters for the selected vehicle and the selected user including a procurement cost for the selected vehicle and an operating cost for operating the selected vehicle within the operational parameters for a predetermined time period.
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