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21.发明申请公开(公告)号：US20190392530A1
公开(公告)日：2019-12-26
申请号：US16553269
申请日：2019-08-28
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun
Abstract: Embodiments of the invention are directed to a decentralized block chain regulation architecture. The invention utilizes the collective nature of block chain communication to perform key regulatory and control functions. Instead of relying on a centralized regulatory source, the present system allows the block chain structures themselves to simultaneously function as both regulated and regulatory chains for one another to form an interconnected network of decentralized, regulatory chains. Further, the system allows for control of non-compliant block chains, wherein regulatory chains may issue commands to the non-compliant chains, rewrite data, overwrite an incorrect consensus, or deactivate a chain and remove it from a block chain environment before propagation of an error.
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22.发明授权公开(公告)号：US12093827B2
公开(公告)日：2024-09-17
申请号：US16209363
申请日：2018-12-04
Applicant: Bank of America Corporation
Inventor： Eren Kursun
IPC: G06N3/082 , G06F17/11 , G06F18/214 , G06N3/044 , G06N3/045
CPC classification number: G06N3/082 , G06F17/11 , G06F18/214 , G06N3/044 , G06N3/045
Abstract: The present disclosure is directed to a novel system for a self-constructing deep neural network. The system may comprise a hybrid logic library which contains the building structures needed to construct the neural network, which may include both traditional logic and memory structures as well as learning structures. In constructing the neural network from library structures, the system may use an algorithm to iteratively improve the performance of the neural network. In this way, the system may provide a way to generate complex neural networks that become increasingly optimized over time.
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公开(公告)号：US11586681B2
公开(公告)日：2023-02-21
申请号：US16431088
申请日：2019-06-04
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun
IPC: G06K9/62 , G06N20/20 , G06F16/9035 , G06N3/04 , G06N3/08 , G06F18/214 , G06F18/2115 , G06F18/21 , G06N3/045
Abstract: A system for adversarial targeting mitigation is provided, the system generally comprising identifying, using an artificial intelligence and machine learning model engine, a user targeting pattern employed by an entity based on interaction data between the entity and one or more users, based on the identified pattern of targeting, training the machine learning model to identify specific user profile data correlated with specific responses from the entity, identifying, using the machine learning model, a subset of one or more favorable responses from the specific responses, and triggering the one or more favorable responses by altering the user profile data for the one or more users prior to interaction with the specific entity.
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公开(公告)号：US11532108B2
公开(公告)日：2022-12-20
申请号：US16706518
申请日：2019-12-06
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun
Abstract: A system for feature relevance visualization optimization is provided. The system comprises a controller configured for modifying placement of features in a relevance visualization. The controller is further configured to: receive interaction data comprising one or more features positioned in the relevance visualization, wherein the one or more features are defined and measurable properties of the interaction data; construct a logical grouping of the one or more features based on a type of each of the one or more features, wherein similar features are collocated in the relevance visualization; construct a machine learning-based grouping of the one or more features based on relevance calculations for the one or more features; combine the logical grouping and the machine learning-based grouping to generate a combined feature placement, wherein the one or more features are repositioned in the relevance visualization; and output the relevance visualization having the combined feature placement.
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公开(公告)号：US11461497B2
公开(公告)日：2022-10-04
申请号：US16538274
申请日：2019-08-12
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun
Abstract: An electronic communication security system is typically configured for receiving historical data from one or more data sources, wherein the historical data comprises at least one of exposure data associated with one or more exposures, user data associated with one or more users, and resource entity data associated with one or more resource entities, storing the historical data in a historical database, analyzing, using one or more machine learning models, the historical data associated with the one or more exposures, the one or more users and the one or more resource entities, and generating, using the one or more machine learning models, an output associated with each of the one or more resource entities based on analyzing the historical data associated with the one or more resource entities, wherein the output comprises an exposure rating associated with the one or more resource entities.
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Patent Agency Ranking
26.发明授权公开(公告)号：US11379815B2
公开(公告)日：2022-07-05
申请号：US16595012
申请日：2019-10-07
Applicant: BANK OF AMERICA CORPORATION
Inventor： Craig D. Widmann , Eren Kursun
Abstract: A system for event-based peer-to-peer resource transfers. The system comprising: a controller configured for tracking and confirming resource transfers, the controller being further configured to: generate a resource transfer for transferring a resource from a first user device to a second user device, wherein the resource transfer comprises a conditional event for triggering a transfer of the resource, and wherein the conditional event is accepted by the first user device and the second user device; receive the resource from the first user device, wherein the resource is held separate from the first user device and the second user device; determine that the conditional event has been executed by at least one of the first user device and the second user device; and based on the determining that the conditional event has been executed, trigger the transfer of the resource to the second user device.
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公开(公告)号：US11321449B2
公开(公告)日：2022-05-03
申请号：US16429665
申请日：2019-06-03
Applicant: Bank of America Corporation
Inventor： Eren Kursun
Abstract: Embodiments of the present invention provide a system for security analysis and authentication. The system can generate a one time password (OTP) signature for a user using a neural network machine learning system. This OTP signature can be analyzed by multiple applications that each utilize different certain authentication verification matching requirements, such that security concerns and strengths of varied downstream applications are taken into account on an individual application basis. Each application determines an authentication value for the user based on the OTP signature, and access or other permissions are granted in response to the authentication value meeting or exceeding a threshold value for that application.
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公开(公告)号：US11310250B2
公开(公告)日：2022-04-19
申请号：US16421894
申请日：2019-05-24
Applicant: Bank of America Corporation
Inventor： Eren Kursun
Abstract: A system for machine learning-based real-time electronic data quality checks in online machine learning and AI systems is provided. In particular, the system may comprise a machine learning module which receives input data from a data quality learning module which serves to perform filtering or alteration functions on incoming data during the training and/or live phases of the machine learning module. Over time, the data quality module may increasingly become efficient and accurate at assessing incoming data to determine the data quality. In turn, improving data quality of input data may ensure that the various neural networks within the system produce adaptively accurate output values to drive the decisioning processes of the system.
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29.发明授权公开(公告)号：US11176101B2
公开(公告)日：2021-11-16
申请号：US15889016
申请日：2018-02-05
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun
IPC: G06F16/18 , G06F16/182 , G06F16/13 , G06F16/176 , G06Q40/00
Abstract: Embodiments of the invention are directed to a decentralized block chain regulation architecture. The invention utilizes the collective nature of block chain communication to perform key regulatory and control functions. Instead of relying on a centralized regulatory source, the present system allows the block chain structures themselves to simultaneously function as both regulated and regulatory chains for one another to form an interconnected network of decentralized, regulatory chains. Further, the system allows for control of non-compliant block chains, wherein regulatory chains may issue commands to the non-compliant chains, rewrite data, overwrite an incorrect consensus, or deactivate a chain and remove it from a block chain environment before propagation of an error.
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公开(公告)号：US11095722B2
公开(公告)日：2021-08-17
申请号：US16532896
申请日：2019-08-06
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun
IPC: H04L29/08 , G06F21/31 , G06F16/182 , G06N20/20
Abstract: A system for modifying electronic records for tracking use is provided. The system comprises a controller configured for transforming an electronic record, the controller comprising a memory device with computer-readable program code stored thereon, a communication device connected to a network, and a processing device, wherein the processing device is configured to execute the computer-readable program code to: receive a request from a user device to access an electronic record during an interaction session; extract a session identifier signature for the interaction session; generate, with a transformation function, one or more modifications for the electronic record based on the session identifier signature; transform the electronic record to a modified record by applying the one or more modifications to the electronic record; and provide the modified record to the user device.
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