Abstract: A method and system include identifying, by a processor, departing flight information that designates departure airports and departure times in payment card transaction data of a plurality of users. Airport-specific data for a departure airport before a departure time of a departing flight of a user from the plurality of users is received. The airport-specific data is inputted into a machine learning model that outputs a user-specific airport processing time for the user to reach a departure gate upon arriving to the departure airport. A travel time from a geographical location of the computing device of the user to the departure airport is received from a navigation system. The computing device displays a time for the user to start travel to the departure airport based on the user-specific airport processing time and the travel time to the departure airport for the user to reach the departure gate by the departure time.

Abstract: Provided are approaches for concealing or obscuring transaction card numbers. In some approaches, a transaction card may include a body comprising a first main side opposite a second main side, and a plurality of structures extending from at least one of the first or second main sides. In a bent configuration of the body, the plurality of structures separate from one another, in a substantially flat configuration of the body, adjacent structures of the plurality of structures abut one another.

Abstract: A method includes determining a first state of a simulation being run by a system and sending first data indicative of the first state of the simulation to a first computing device. The method further includes receiving, after the first data is sent, second data from the first computing device. The second data includes at least one first instruction configured to cause a first move associated with the simulation and is formatted according to a specification. The method further includes determining a second state of the simulation based on the second data received from the first computing device and sending third data indicative of the second state of the simulation to a second computing device. The method further includes receiving, after sending the third data, fourth data from the second computing device. The fourth data includes at least one second instruction configured to cause a second move.

Abstract: In some implementations, a credit decision platform may receive a credit request from an applicant and obtain domestic historical data associated with the applicant from a credit bureau device. The credit decision platform may obtain access to an email account associated with the applicant based on determining that the domestic historical data associated with the applicant is insufficient to process the credit request. The credit decision platform may identify, using one or more machine learning models, a set of email messages included in the email account that are relevant to the credit request and may analyze content included in the set of email messages to generate non-domestic historical data associated with the applicant. The credit decision platform may generate a decision on the credit request based on an estimated creditworthiness of the applicant, which may be determined based on the non-domestic historical data.

Abstract: Disclosed are methods and systems for determining similarity of online items. For instance, an identifier of a first web page associated with a first item navigated to by a browser may be received from a browser extension application executing on a computing device. Image(s) and text may be extracted from the first web page and provided as input to a machine learning model along with image(s) and text extracted from a second web page of a plurality of web pages associated with a second item of a plurality of items that are stored in a data store. A probability at/above a predefined threshold that the first and second items are the same item may be received as output. A notification indicating identification of the second item as the same item and including information associated with the second item may be generated and provided to the browser extension application for display.

Abstract: Methods and systems disclosed herein describe customizing searching. Search queries may be customized according to a user's preferences. A user may emphasize or indicate that additional weight should be given to one or more terms in a search query. Terms that are weighted higher may have a larger impact on the results that are returned in response to the search query. In addition to changing the terms in a search query, a user may provide a weight for each term. Each term in a search query may be weighted to varying degrees, giving a user more control over the results that are returned. The weights may be used with machine learning techniques to generate a vector representation of a search query. The vector representation of the search query may be compared with vector representations of search objects to determine results that match the search query.

Abstract: Disclosed embodiments pertain to a payment card with an integrated door. A top layer can be affixed to a bottom semirigid layer. The top layer can include a first portion attached to the front face of the bottom layer and a second portion, or door, coupled to the first portion in a manner that allows the second portion to rotate to and from an open position and closed position. The bottom layer can include a cardholder name, account number, expiration date, and security code hidden from view when the door is in the closed position. A fastener can also be added to secure the door in an open position, closed position, or both. In one embodiment, the payment card can include an antenna for contactless transactions, and the door's position can control the antenna's availability for wireless communication.

Abstract: Systems and methods of the present disclosure enable database search. The systems and/or methods may include receiving a search query that includes an input document having text. Word embeddings are generated within the input document, where the word embeddings include vector representations of words in the text of the input document. An average input document word embedding vector is determined for the word embeddings of the input document. A set of stored documents is accessed, where each stored document includes a stored text has a particular average stored document word embedding vector. A similarity model is used to determine a similarity metric measuring the similarity between the input document and each stored document based on the average input document word embedding vector and the particular average stored document word embedding vector of each stored document.

Abstract: Disclosed embodiments pertain to a payment card with an integrated door. A top layer can be affixed to a bottom semirigid layer. The top layer can include a first portion attached to the front face of the bottom layer and a second portion, or door, coupled to the first portion in a manner that allows the second portion to rotate to and from an open position and closed position. The bottom layer can include a cardholder name, account number, expiration date, and security code hidden from view when the door is in the closed position. A fastener can also be added to secure the door in an open position, closed position, or both. In one embodiment, the payment card can include an antenna for contactless transactions, and the door's position can control the antenna's availability for wireless communication.

Abstract: Example embodiments of information-shielding cards and systems and methods of fabricating the same are provided. An information-shielding card can comprising a substrate comprising a first layer, a second layer, a third layer, a chip embedded in the second layer, and a quick-response (QR) code formed on the second layer. The second layer can be disposed between the first layer and the third layer. The first layer can comprise a first material that is transparent when exposed to a non-visible light, the second layer can comprise a second material that is opaque when exposed to visible light and when exposed to non-visible light, and the third layer comprises a third material that is transparent when exposed to a non-visible light.

Abstract: Example embodiments of systems, methods, and computer-accessible mediums for identity verification and transaction authentication are provided. An exemplary system can comprise an application, a user device, and a server. The application can prompt a removal of a card chip, prompt an insertion of the card chip into the user device, determine an orientation of the card chip after the insertion of the card chip into the user device, and transmit, to the card chip, a first message. The card chip can encrypt the first message via one or more authentication protocols to generate an encrypted first message, transmit, to the server, the encrypted first message. The server can decrypt the encrypted first message, verify the decrypted first message, and transmit a second message to the application, wherein the application is configured to display a verification notification in response to the second message.

Abstract: A system may receive transaction information associated with a transaction, the transaction information comprising an account number associated with a first user. The system may determine whether the transaction is associated with a second user. Responsive to determining the transaction is associated with the second user, the system may transmit a first prompt to a first user device associated with the first user, the first prompt comprising a request to confirm or deny the transaction. The system may receive, via the first user device, a first user selection confirming the transaction. Responsive to receiving the first user selection, the system may determine whether the transaction exceeds a predetermined threshold. Responsive to determining the transaction exceeds the predetermined threshold, the system may transmit a second prompt to the first user device, the second prompt comprising a recommendation to designate the second user as an authorized user of the account number.

Abstract: Disclosed embodiments concern user authentication and detecting fraud at a card reader before an unauthorized transaction occurs based on card movement. A sensor can capture the movement of a card within proximity of a card reader that captures financial data from a card issued to a user. Card movement can correspond to the card's speed, acceleration, or motion during physical presentation of the card to the card reader. Card movement data associated with the card movement can be captured and compared to pre-stored data associated with an owner of the card to create a comparison result. A card user can be authenticated when the comparison result satisfies a predetermined threshold. Authorization of a transaction can then be performed based on an authenticated identity of the card user.

Abstract: In some implementations, a storage optimization system may receive a plurality of emails. Accordingly, the system may identify at least one email associated with a limited capacity in the plurality of emails. The system may further scan, from the at least one email, one or more hyperlinks to determine a website associated with the at least one email and an identifier associated with an event. The system may determine, using a database, a traversal path and at least one application programming interface (API) call associated with the website. Accordingly, the system may traverse the website using the traversal path and the at least one API using the identifier to determine that the limited capacity is filled. The system may delete the at least one email associated with the limited capacity based on determining that the limited capacity is filled.

Abstract: Methods and systems are described for improvements to authentication processes. For example, conventional systems may rely on password authentication or contact-based alternative authentication techniques that are impractical or infeasible in sensitive medical environments, during pandemics, or fail meet the health and safety needs of an increasingly health-conscious public. In contrast, the described solutions provide an improvement over conventional authentication systems and methods by enabling user authentication via contactless physiological biometric authentication processes, behavioral authentication processes, and passive data authentication processes, that do not require a user to remove personal protective equipment.

Abstract: A processor may receive data and generate a quantified representation of the data by processing the data using at least one machine learning (ML) algorithm, the quantified representation of the data indicating a sentiment of content of the data. The processor may automatically revise the content of the communications data. The revising may include determining a reaction to the content of the communications data, generating a quantified representation of the reaction, determining a difference between the quantified representation of the reaction and the quantified representation of the communications data, identifying, based on the difference, a portion of the content having an unintended sentiment, and replacing the portion of the content with different content.

Abstract: Example embodiments of information-shielding cards and systems and methods of fabricating the same are provided. An information-shielding card can comprising a substrate comprising a first layer, a second layer, a third layer, a chip embedded in the second layer, and a quick-response (QR) code formed on the second layer. The second layer can be disposed between the first layer and the third layer. The first layer can comprise a first material that is transparent when exposed to a non-visible light, the second layer can comprise a second material that is opaque when exposed to visible light and when exposed to non-visible light, and the third layer comprises a third material that is transparent when exposed to a non-visible light.

Abstract: Methods and systems disclosed herein describe customizing searching. Search queries may be customized according to a user's preferences. A user may emphasize or indicate that additional weight should be given to one or more terms in a search query. Terms that are weighted higher may have a larger impact on the results that are returned in response to the search query. In addition to changing the terms in a search query, a user may provide a weight for each term. Each term in a search query may be weighted to varying degrees, giving a user more control over the results that are returned. The weights may be used with machine learning techniques to generate a vector representation of a search query. The vector representation of the search query may be compared with vector representations of search objects to determine results that match the search query.

Abstract: A processor may receive data and generate a quantified representation of the data by processing the data using at least one machine learning (ML) algorithm, the quantified representation of the data indicating a sentiment of content of the data. The processor may automatically revise the content of the communications data. The revising may include determining a reaction to the content of the communications data, generating a quantified representation of the reaction, determining a difference between the quantified representation of the reaction and the quantified representation of the communications data, identifying, based on the difference, a portion of the content having an unintended sentiment, and replacing the portion of the content with different content.

Abstract: In some implementations, a storage optimization system may receive a plurality of emails. Accordingly, the system may identify at least one email associated with a limited capacity in the plurality of emails. The system may further scan, from the at least one email, one or more hyperlinks to determine a website associated with the at least one email and an identifier associated with an event. The system may determine, using a database, a traversal path and at least one application programming interface (API) call associated with the website. Accordingly, the system may traverse the website using the traversal path and the at least one API using the identifier to determine that the limited capacity is filled. The system may delete the at least one email associated with the limited capacity based on determining that the limited capacity is filled.