Capital One Services, LLC

Shannon Yogerst

Tania Cruz Morales

Purva Shanker

Dan Lin

Tyler Maiman

Bryant Alan Yee

Nathan Wolfe

Haytham Yaghi

Ignacio Espino

Michael Bakr Mossoba

Austin Erickson

Hazar Alsahnawi

John E Jones, Iv

Leeyat Bracha Tessler

Kimberly Stockley

Dexter Ferguson

Claire M Rowlett

Systems and methods are described herein for novel uses and/or improvements to artificial intelligence applications. As one example, systems and methods are described for the use of an artificial intelligence-based solution in identifying fraudulent documents and/or other content. In particular, the systems and methods adapt the artificial intelligence-based solution to overcome the technical problem of insufficient training data and/or solutions that are commensurate with the time frame and resources available.

Systems and methods for determining document authenticity based on weighted analysis of categorical content attributes

Systems and methods for preventing blockchain functions associated with malicious entities are disclosed herein. A first blockchain status update may be received from a first authorizing entity. A first counter and a first plurality of authorizing entities can be determined. The first counter and the first plurality of authorizing entities can be updated. The first counter can be compared to a consensus threshold. A first instruction to block requests for communications to the first entity address can be generated. A confirmation of the first instruction can be generated for display.

Systems and methods for preventing communications with malicious cryptography-based storage application addresses using consensus

Methods and systems for reducing network traffic between a service and client devices. In some aspects, the system receives a first data stream for a first type of communication between a service and a client device for a user. In response to determining that the first data stream includes an unresolved user query, the system determines that a second type of communication occurred between the service and the user. The system processes a second data stream for the second type of communication to determine that the second type of communication includes the unresolved user query and a service response to the unresolved user query. The system provides the unresolved user query and the service response to update a machine learning model used by the service to generate service responses to one or more user queries during a future communication of the first type.

Systems and methods for reducing network traffic

Systems and methods for labeling data for artificial neural network models when data is received as real-time data and batch-processed data are disclosed herein. The system may receive a first data stream. The system may generate a first vector representation of the first real-time processed data. The system may determine the first label for a first training datum. The system may determine whether all data used to generate a final label has been received. The system may assign a first label type to the first label.

Systems and methods for label generation for real-time processed and batch-processed streams for machine learning training

System and methods for extracting data from and authenticating digital images of documents. The system may receive first digital image data. The system may determine a first image type of the first digital image data. The system may determine a first version identifier based on the first digital image data. The system may determine a first ruleset. The system may determine a first set of pixel coordinate ranges for authenticating digital images. The system may determine a first authentication status for the first digital image. The system may determine a second portion of the first digital image at a second set of pixel coordinate ranges. The system may compare a first portion to the second portion. The system may determine a second ruleset. The system may update the image ruleset database to include the second ruleset.

Systems and methods for validating and extracting data dynamically from images of identification documents

Systems and methods are described for maintaining bifurcated data management while labeling data for artificial intelligence model development. For example, the system may receive a first label for a first sample from a first dataset, wherein the first dataset is accessible to a first subset of a plurality of users, and wherein the first subset comprises a first attribute. The system may receive first version metadata of the first label, wherein the first version metadata comprises a proposed label for the first sample assigned by a first user. The system may determine, based on a first user input from the first user, a first grouping of source code files for storing the first version metadata, wherein the first grouping of source code files is accessible to a second subset of the plurality of users, and wherein the second subset comprises a second attribute.

Systems and methods for maintaining rights management while labeling data for artificial intelligence model development

Systems and methods for verifying digitally secured communications between users are disclosed herein. A first user identifier for a first user may be received. A first blockchain address for the first user based on the first user identifier may be determined. A first non-transferable token corresponding to the first user may be generated. A request for a communication may be received. A target address and a target user identifier may be extracted. Whether the communication metadata matches the token metadata may be determined. A validation status for the communication may be determined.

Systems and methods for verifying cryptographically secured communications between users using non-transferable tokens

Systems and methods for storing versioned data while labeling data for artificial intelligence model development

Systems and methods for maintaining bifurcated data management while labeling data for artificial intelligence model development

In some implementations, a transaction card includes a card body having a first surface and a second surface opposite the first surface, and the card body may be in a configuration that defines a storage area for a physical key. The transaction card may include at least one of an integrated circuit chip or a magnetic stripe accessible from at least one of the first surface or the second surface of the card body. The transaction card may include a connecting element to connect the physical key to the card body. The connecting element may be configured to enable movement of the physical key between a storage position, in which at least a portion of the physical key occupies the storage area, and a use position, in which at least a portion of the physical key is outside of the storage area.

Transaction card with storage for a physical key

In some implementations, a transaction card includes a first card body portion, a second card body portion, at least one of an integrated circuit chip or a magnetic stripe accessible from at least one of the first card body portion or the second card body portion, and a third card body portion that includes a series of accordion pleats. The series of accordion pleats may be between the first card body portion and the second card body portion. The series of accordion pleats may be configured to contract the third card body portion into a contracted configuration, and to expand the third card body portion into an expanded configuration. The first card body portion may be nearer to the second card body portion with the third card body portion in the contracted configuration than with the third card body portion in the expanded configuration.

Growing community of inventors

New York, NY, United States of America

Shannon Yogerst