Capital One Services, LLC

Societe Des Produits Nestle S.a.

Soci&#xc9;t&#xc9; Des Produits Nestl&#xc9; S.a.

Tyler Maiman

Joshua S Edwards

Viraj Chaudhary

Lin Ni Lisa Cheng

Samuel Rapowitz

Stephen Robert Schneider

David Septimus

Daniel Herrington

Bryant Alan Yee

Jenny Melendez

Abdelkader M'Hamed Benkreira

Asher Smith-Rose

Kevin Grant Osborn

Michael Bakr Mossoba

Brendan Way

Shabnam Kousha

Daniel Miller

Kathryn Tikoian

Vyjayanthi Vadrevu

Salik Shah

Daniel E Miller

Phoebe Atkins

Ljubica Chatman

David Gabriele

Jude Pierre Anasta

Guadalupe Bonilla

Wayne David Lutz

Saleem Ahmed Sangi

Daniel John Marsch

Aysu Ezen Can

Michael Saia

Alexander Lin

Mia Rodriguez

Feng Qiu

Vahid Khanagha

Abdelkader Benkreira

Max Miracolo

Leeyat Bracha Tessler

Nimma Bhusri

Meredith Leigh Critzer

Sarah Jane Cunningham

Cruz Vargas

Charles Moore

Adam Vukich

Timothy W James

Shannon Yogerst

Smeeta Khetarpaul

Ashley Dakota Ross

Matthew Gorman

Andrius Dapkus

Laetitia Allexant

Sophie Bermudez

Dwij Trivedi

Andrea Montealegre

Gaurang J Bhatt

Jennifer Kwok

Abdelkadar M'Hamed Benkreira

Abdelkader M'hamed Benkreira

Matthew Horton

Imren Johar

Negar Kalbasi

Armando Martinez Stone

Haytham Yaghi

Jose Vazquez

Samuel Yip

Tasneem Adamjee

Yichen Zhang

Albert Hergenroeder

Elaine Markey

Jerry Wu

In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining, a permission from each user to monitor a plurality of activities; continually receiving monitoring data of the plurality of activities; identifying a plurality of related incoming interaction sessions within the predetermined period of time; automatically verifying at least one common session parameter; utilizing a machine learning algorithm to determine at least one transaction; determining a plurality of fraudulent transactional rules; automatically adjusting the plurality of fraudulent transactional rules; utilizing a natural language processing algorithm to automatically generate at least one interaction notification; receiving a response to the interactive notification; and automatically updating the database of known session interaction parameters based on the response to the interactive notification.

Computer-based systems configured to generate an interactive communication for a plurality of the repetitive interaction sessions and methods of use thereof

In some embodiments, the present disclosure provides an exemplary method that may include steps of monitoring, a conversation script between a call center agent and a customer; utilizing, a speech-to-text deep machine learning model to transcribe the audio call to text; utilizing, a natural language processing deep machine learning model to map intent mappings of the audio call; utilizing, a similarity measurement model to determine a semantic similarity between predefined intent mappings and the intent mappings of the call audio text; determining, an error based on the semantic similarity in the intent mapping call audio text; determining a training session based on the error.

Computer-based systems configured to monitor a communication session and generate a training session and methods of use thereof

In some implementations, a system may capture audio from a call between a calling device and a called device. The system may filter the captured audio to generate a background audio layer. The system may generate an audio footprint that is a representation of sound in the background audio layer. The system may determine that the audio footprint includes a triggering sound footprint based on one or more audio characteristics of the audio footprint. The system may detect synthetic sound based on the audio footprint and after determining that the audio footprint includes the triggering sound footprint, wherein the synthetic sound is indicative of a sound recording. The system may transmit a notification to one or more devices associated with the call based on detecting the synthetic sound.

Detecting synthetic sounds in call audio

In some embodiments, validation of network operations related to use of a token via a token request based on entity characteristics may be facilitated. In some embodiments, a token request indicating use of a token to access an item associated with an entity may be detected, where the token is bound to one or more entity characteristics. Based on the token request, an entity identifier associated with the entity may be obtained. Using the entity identifier, one or more item characteristics of items available via the entity may be determined. Determining whether the entity satisfies the one or more entity characteristic to which the token is bound may be determined based on the one or more item characteristics. Access to the item associated with the entity may be validated based on the determination indicating that the entity satisfies the one or more entity characteristics to which the token is bound.

Systems and methods for validating network operations related to use of a token via a token request based on entity characteristics

A payment instrument comprising a bottom layer; one or more intermediate layers, wherein at least one of the one or more intermediate layers comprises: a chip comprising a processor and memory; an antenna coupled with the chip; an absorbent medium; and one or more reservoirs comprising beads, each of the beads comprising dyes of one or more colors, the beads configured to release the dyes onto the absorption medium. The dyes cure on the absorption medium at a rate based on a curing agent applied to the absorbent medium or included in beads of the reservoirs. The payment instrument may also comprise a top layer having at least a partially translucent portion above the absorption medium, wherein the absorption medium is at least partially visible through the at least one partially translucent portion.

Methods and arrangements for a payment instrument with a unique design

In some implementations, a server may receive, from a first user, an indication of a first set of times and receive, from the second user, an indication of a second set of times. The server may determine a first location associated with the first user and a second location associated with the second user. Accordingly, the server may identify a set of events based on the first location, the second location, the first set of times, and the second set of times. The server may further select a subset of events, from the set of events, based on first event data associated with the first user and second event data associated with the second user. Based on a selected event from the subset of events, the server may identify an API associated with the selected event and may trigger a call to the identified API.

User pairing and triggering activities using event data

Methods and systems are described herein for manipulating a communication acceptance screen, manipulating an interactive communication acceptance icon, and restricting access to accounts based on voice communication parameters. In particular, when a communication is detected from one device to another device, that communication may be risky. Thus, the risk is mitigated by giving a user information about the source of the communication to give a user a chance to reject the communication. In addition, in instances where the user accepts the communication, the system enables monitoring the communication and restricting any accounts that are disclosed within the communication.

Restricting access based on voice communication parameters

Methods, systems, and apparatuses are described herein for improving computer authentication processes through the exclusion of certain merchants that may cause confusion. Indications of a plurality of different merchants, including merchant logos may be received. The indications may be processed to identify at least one similarity between a first merchant and a second merchant. A request for access to an account associated with a user and transaction data corresponding to the account may be received. Based on the similarity between the first merchant and the second merchant, at least one transaction corresponding to the first merchant may be removed to generate processed transaction record. An authentication question may be generated and a candidate response to the authentication question may be received. Based on the candidate response, access to the account may be provided.

Account authentication excluding merchants based on merchant logos

In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining a permission from the user to monitor a plurality of activities executed within the computing device; continually monitoring the plurality of activities executed within the computing device for a predetermined period of time; identifying an indication of an incoming interaction session within the predetermined period of time; verifying at least one session interaction parameter associated with the incoming interaction session to identify the incoming interaction session as a repeat interaction session; dynamically retrieving at least one relation-specific notation from a plurality of relation-specific notations to display; instructing an input GUI element to display input data associated with the repeat interaction; automatically updating the plurality of relation-specific notations associated with the historical data relationship; and instructing at least one programmable output GUI to display a notification identifying the update of the plurality of relation-specific notations.

Computer-based platforms and systems configured to enhance a call screen with user-controlled notes associated with the call and methods of use thereof

Example embodiments of systems and methods for milling patterns for a card are provided. A chip fraud prevention system include a device including a chip. The chip may be at least partially encompassed in a chip pocket. The chip pocket may include one or more shapes. The one or more shapes may include one or more peaks and one or more valleys. One or more connections may be communicatively coupled to at least one surface of the chip. The one or more connections may be placed between at least one of the one or more peaks or one or more valleys.

Systems and methods for saw tooth milling to prevent chip fraud

Systems and methods of caller identification differentiation via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may include: receiving a permission indicator identifying a permission by the user to detect calls being received by a computing device; receiving an indication of a current call being received; utilizing a trained call differentiation machine learning model to determine a likelihood that the current call is of a first call type or a second call type, where the first call type is associated with a first type of activity and the second call type is associated with a second type of activity.

Computer-based systems configured for caller identification differentiation and methods of use thereof

Generating a screening interface for communications

Systems and methods of the present disclosure enable intelligent dynamic caching of data by accessing an activity history of historical electronic activity data entries associated with a user account, and utilizing a trained entity relevancy machine learning model to predict a degree of relevance of each entity associated with the historical electronic activity data entries in the activity history based at least in part on model parameters and activity attributes of each electronic activity data entry. A set of relevant entities are determined based at least in part on the degree of relevance of each entity. Pre-cached entities are identified based on pre-cached entity data records cached on the user device, and un-cached relevant entities from the set of relevant entities are identified based on the pre-cached entities. The cache on the user device is updated to cache the un-cached entity data records associated with the un-cached relevant entities.

Automated predictive caching of cloud-sourced data and methods of use thereof

In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining a trained spam upsurge detection machine learning model that determines when a current frequency associated with spam communications received by a current user exceeds a baseline frequency associated with the current user; receiving a permission indicator identifying a permission by the user to detect communications being received by the computing device; receiving an indication of at least one communication being received; determining the at least one communication as a particular spam communication; updating a frequency at which spam communications have been received by the user based at least in part on the particular spam communication; utilizing the trained spam upsurge detection machine learning model to determine that the frequency exceeds a baseline frequency associated with the user; and initiating a scan of one or more dark web resources.

Computer based systems configured to adjust frequency scanning of the dark web in search of information and method of use thereof

Disclosed embodiments may include a system for curating online vehicle reservations. The system may determine, from received vehicle data including first timing data and indicating a selected vehicle, that the selected vehicle is electric. The system may receive accommodation data including second timing data and indicating a selected accommodation. The system may determine, from comparing the first timing data to the second timing data, that the selected vehicle will likely require charging at the selected accommodation. The system may determine whether the accommodation data includes an indication of electric vehicle charging facilities. Responsive to determining that the selected accommodation does not provide the indication of electric vehicle charging facilities, the system may generate a first graphical user interface warning that no charging station is available for the selected vehicle at the selected accommodation and transmit the first graphical user interface to a user device for display.

Systems and methods for curating online vehicle reservations to avoid electric vehicle battery depletion

Growing community of inventors

Melville, NY, United States of America

Tyler Maiman