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    Automated Model Generation Platform for Recursive Model Building
    2.
    发明公开
    Automated Model Generation Platform for Recursive Model Building 审中-公开

    公开(公告)号：US20240338606A1

    公开(公告)日：2024-10-10

    申请号：US18746148

    申请日：2024-06-18

    申请人： Bank of America Corporation

    发明人： Maharaj Mukherjee

    IPC分类号： G06N20/00 ,  G06Q30/0601

    CPC分类号： G06N20/00 ,  G06Q30/0601

    摘要： Aspects of the disclosure relate to an automated model generation platform for recursive model building. A computing platform may receive a request for automated machine learning model building, and may identify a service offering corresponding to the request. Based on the identified service offering and using machine learning algorithms, the computing platform may select machine learning models and a corresponding sequence of model application (e.g., machine learning model information). The computing platform may store the machine learning model information along with a corresponding indication of the identified service offering. The computing platform may receive a request for model information corresponding to a service access request, and may identify that the service access request corresponds to a problem within the identified service offering. In response, the computing platform may send the machine learning model information, which may cause the enterprise service host system to generate a service output interface.

    PERFORMANCE MONITORING SYSTEM USING AGGREGATED TELEMETRY
    3.
    发明公开
    PERFORMANCE MONITORING SYSTEM USING AGGREGATED TELEMETRY 审中-公开

    公开(公告)号：US20240160552A1

    公开(公告)日：2024-05-16

    申请号：US18508654

    申请日：2023-11-14

    申请人： BANK OF AMERICA CORPORATION

    发明人： Maharaj Mukherjee ,  Carl M. Benda ,  Elvis Nyamwange ,  Utkarsh Raj ,  Suman Roy Choudhury ,  Vidya Srikanth ,  Colin Murphy

    IPC分类号： G06F11/34 ,  G06F11/30

    CPC分类号： G06F11/3409 ,  G06F11/3024

    摘要： Systems, computer program products, and methods are described herein for performance monitoring using aggregated telemetry. The present disclosure is configured to receive, from the first performance monitoring engine, a first metadata associated with the first resiliency status; receive, from the second performance monitoring engine, a second metadata associated with the second resiliency status; determine, using a machine learning (ML) subsystem, an overall resiliency status of the device based on at least the first metadata, the second metadata, the first resiliency status, and the second resiliency status; determine one or more actions to be executed on the device, wherein the one or more actions are associated with the overall resiliency status; generate a notification indicating the overall resiliency status of the device and the one or more actions associated with the overall resiliency status; and transmit control signals configured to cause a user input device to display the notification.

    ENERGY OPTIMIZATION PLATFORM USING ARTIFICIAL INTELLIGENCE AND EDGE COMPUTING
    4.
    发明公开
    ENERGY OPTIMIZATION PLATFORM USING ARTIFICIAL INTELLIGENCE AND EDGE COMPUTING 审中-公开

    公开(公告)号：US20240095628A1

    公开(公告)日：2024-03-21

    申请号：US17948621

    申请日：2022-09-20

    申请人： Bank of America Corporation

    发明人： Maharaj Mukherjee ,  George Albero ,  Jinna Kim

    IPC分类号： G06Q10/06 ,  G06Q30/02 ,  G06Q50/06 ,  H02J3/00 ,  H02J3/14

    CPC分类号： G06Q10/06315 ,  G06Q30/0206 ,  G06Q50/06 ,  H02J3/003 ,  H02J3/144

    摘要： Aspects of the disclosure relate to energy optimization. A computing platform may receive an event processing request. The computing platform may identify parameters of the event processing request. The computing platform may input the parameters into a global energy optimization model, to identify an edge computing system at which to process the event processing request. The computing platform may route the event processing request to the edge computing system along with commands to process the event processing request using an energy mix identified by a local energy optimization model, corresponding to the edge computing system, which may cause the edge computing system to: input the parameters of the event processing request into the local energy optimization model to identify the energy mix, and process, using the energy mix, the event processing request.

    DIGITAL TWIN BASED EVALUATION, PREDICTION, AND FORECASTING FOR AGRICULTURAL PRODUCTS
    5.
    发明公开
    DIGITAL TWIN BASED EVALUATION, PREDICTION, AND FORECASTING FOR AGRICULTURAL PRODUCTS 审中-公开

    公开(公告)号：US20240070527A1

    公开(公告)日：2024-02-29

    申请号：US17899779

    申请日：2022-08-31

    申请人： Bank of America Corporation

    发明人： Maharaj Mukherjee ,  Carl M. Benda

    IPC分类号： G06N20/00 ,  G06Q10/04

    CPC分类号： G06N20/00 ,  G06Q10/04

    摘要： Aspects of the disclosure relate to digital twin simulation. A computing platform may receive historical information. The computing platform may train, using the historical information, a digital twin model, configured to identify agricultural information based on input of a query requesting the agricultural information. The computing platform may receive, from a user device, a query requesting the agricultural information. The computing platform may input, into the digital twin model, the query, to output the agricultural information based on the historical information and the relationships between the feature models. The computing platform may direct a vendor computing system to execute actions based on the agricultural information, which may cause the vendor computing system to execute the one or more actions.

    Hybrid machine learning and knowledge graph approach for estimating and mitigating the spread of malicious software
    6.
    发明授权
    Hybrid machine learning and knowledge graph approach for estimating and mitigating the spread of malicious software 有权

    公开(公告)号：US11914709B2

    公开(公告)日：2024-02-27

    申请号：US17380450

    申请日：2021-07-20

    申请人： Bank of America Corporation

    发明人： George Anthony Albero ,  Maharaj Mukherjee

    IPC分类号： G06F21/56 ,  G06N5/04 ,  G06N20/00

    CPC分类号： G06F21/566 ,  G06N5/04 ,  G06N20/00 ,  G06F2221/033

    摘要： Aspects of the disclosure relate to predicting the spread of malicious software. The computing platform may identify malicious software at a computing device and may input characteristics of the malicious software into a machine learning model to produce time horizons for the malicious software. The computing platform may identify, using a knowledge graph and based on the time horizons, subsets of computing devices, each corresponding to a particular time horizon. The computing platform may perform, at a time within a first time horizon, a first security action for a first subset of computing devices within the first time horizon and a second security action for a second subset of computing devices located within a second time horizon, where the first time horizon and the second time horizon indicate that the first subset will be affected by the malicious software prior to the second subset.

    Digital Check Disbursement Using Digital Chip and Distributed Ledger Methods
    7.
    发明公开
    Digital Check Disbursement Using Digital Chip and Distributed Ledger Methods 审中-公开

    公开(公告)号：US20240013167A1

    公开(公告)日：2024-01-11

    申请号：US18369994

    申请日：2023-09-19

    申请人： Bank of America Corporation

    发明人： Benjamin D. Moores ,  Maharaj Mukherjee ,  George Albero

    IPC分类号： G06Q20/04

    CPC分类号： G06Q20/0425

    摘要： Aspects of the disclosure relate to digital check processing. A computing platform may receive, from a first recipient, a request to transfer a first portion of funds, corresponding to the first digital check image, to a second recipient account and a second portion of the funds, corresponding to the first digital check image, to a third recipient account. The computing platform may generate second and third digital check images representative of the first and second portions of the funds respectively. Based on successful validation of the second digital check image and the third digital check image, the computing platform may embed, into the second and third digital check images, a digital chip that indicates the successful validation. The computing platform may send, to the second recipient account and the third recipient account, the second and third digital check images respectively.

    QUANTUM APPROXIMATION OPTIMIZER FOR DISTRIBUTED REGISTER VALIDATION
    10.
    发明公开
    QUANTUM APPROXIMATION OPTIMIZER FOR DISTRIBUTED REGISTER VALIDATION 审中-公开

    公开(公告)号：US20230316119A1

    公开(公告)日：2023-10-05

    申请号：US17708977

    申请日：2022-03-30

    申请人： BANK OF AMERICA CORPORATION

    发明人： Maharaj Mukherjee ,  Jinna Zevulun Kim

    IPC分类号： G06N10/20 ,  G06N10/80

    CPC分类号： G06N10/20 ,  G06N10/80

    摘要： A system for validating one or more blocks of a distributed register typically includes a classical computer apparatus and a quantum optimizer in communication with the classical computer apparatus. The classical computer apparatus is configured for receiving an interaction, authenticating the interaction, creating a block representing the interaction to be placed in a distributed register, transmitting the block representing the interaction to the quantum optimizer. The quantum optimizer in response to receiving the block representing the interaction, validates the block and transmits the validated block to the validation application.