Abstract: A computer vision card reader and/or point of sale device is described. The device is configured to sense when a user inserts a card into a card reader and to determine when a user departs or is about to depart from the device without retrieving the card. The device may issue an audible or visible alert to the user, reminding the user to retrieve the card. The device may additionally send a notification to a mobile device associated with the user that reminds the user that he has left a card at the point of sale. In some embodiments, message sent to the user contains a code and, upon entry of the code, the point of sale or card reader device returns the card to the user.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods of location-aware caller identification via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may include: utilizing a trained call annotation machine learning model to determine one or both of an annotating condition and annotating location granularity, and associate one location of a user with one phone number of the user based at least on one or both of the annotating condition and the annotating location granularity; receiving second transactional information of one transaction associated with a first user; extracting second location information from the second transactional information of the one transaction; utilizing the trained call annotation machine learning model to automatically annotate one phone number record of one phone number of the first user, with the second location information at the annotating location granularity to form at least one user-specific location-specific annotated phone number record.

Abstract: Methods, systems, and apparatuses are described herein for improving the accuracy of authentication questions using transaction limitations provided by users. A request for access to an account associated with a user may be received from a user device. An account restrictions database may be queried to determine one or more transaction rules associated with the account. The one or more transaction rules may have been created by the user and indicate limitations on financial transactions that may be performed via the account. An authentication question may be generated that is associated with a violation of the one or more transaction rules. The authentication question may be provided to the user device, and a response to the authentication question may be received. Access to the account may be provided to the user device based on the response.

Abstract: A computer-implemented method comprising: instructing a computing device to obtain a permission from the user to monitor a plurality of activities executed within the computing device; receiving a call session request from a computing device associated with a second user; utilizing a trained machine learning algorithm to confirm an identity of the user based on the call session interaction parameter to confirm the call interaction session as a verified call interaction session; generating a fictitious call session interaction parameter that differs from the at least one call session interaction parameter; modifying the call session request into a verified call session request by replacing the call session interaction parameter with the fictitious call session interaction parameter; utilizing a telecommunication network to transmit the verified call session request with the at least one fictitious session interaction parameter to the first calling-enabled computing device; automatically instructing the first c

Abstract: Systems and methods for uses and/or improvements to using artificial intelligence applications with large datasets. In particular, systems and methods for enriching data structures (e.g., data structures comprising user profile data) with additional data structures (and values thereof) from accessible data from a plurality of other users based on identifying relevant data to use for enriching the data structures using detected metadata correlations.

Abstract: In a video capture system, a virtual lens is simulated when applying a crop or zoom effect to an input video. An input video frame is received from the input video that has a first field of view and an input lens distortion. A selection of a sub-frame representing a portion of the input video frame is obtained that has a second field of view smaller than the first field of view. The sub-frame is processed to remap the input lens distortion to a desired lens distortion in the sub-frame. The processed sub-frame is output.

Abstract: A method includes obtaining a first dataset associated with a first set of classes and a second dataset associated with a second set of classes, where the first and second datasets share features. The method also includes creating an aggregated dataset having a quality score for the second set of classes that satisfy a first threshold. Creating the aggregated dataset includes determining a first and second set of clusters based on the first and second datasets. The method includes determining a distance based on a record of the first set of clusters and a second record of the second set of clusters in a feature space. The method further includes determining a set of analysis scores based on the distance and generating an indication for a set of records associated with the set of analysis scores based on the set of analysis scores satisfying a second threshold.

Abstract: Disclosed embodiments may include a method for authenticating calls for a call center where the user can authenticate before or after starting a call to a call center using an application on a user device. The system determines what level of authentication is necessary depending on the task the user wants to accomplish during the call. The system may direct the user to provide credentials, such as a username and password, for some tasks. Other tasks may require the user to verify their financial card by taking a photo of their financial card or tapping their financial card to their device and allow the device to interact with the financial card using NFC technology. Once appropriately authenticated, the system then allows the user to make a call to the call center and also sends a signal to the call center that the user has been previously authenticated.

Abstract: A device may receive an authorization request, associated with a transaction made by a user device as part of a checkout procedure of a website, that includes a virtual transaction card identifier of a virtual transaction card that is being used for the transaction, and a first merchant identifier for a merchant associated with the website. The device may perform a first authorization procedure to determine whether the first merchant identifier, included in the authorization request, satisfies a threshold level of similarity with a second merchant identifier associated with a request to generate the virtual transaction card that occurred prior to receiving the authorization request. The device may determine whether to forego a second authorization procedure based on a result of the first authorization procedure, and cause an authorization response, that includes an indication of whether the transaction is approved, to be provided to another device associated with the merchant.

Abstract: Methods and systems are described herein for novel uses and/or improvements to sharing cryptographic tokens based on user's real-world actions through social media so those real-world actions may be confirmed as authentic (e.g., verified and/or validated). More specifically, methods and systems disclosed herein enable sharing validated user activity by generating and using cryptographic tokens. The system may ensure that the cryptographic tokens verify the user's activity. The system may extract token data of a cryptographic token to post to a social media platform for activity verification. Thus, by using cryptographic tokens of the user's activity data, the system is able to verify the user's activity.

Abstract: Authentication card with integrated cloth. In some aspects, an authentication card for short range wireless communications includes a first card layer comprising a first cutout, a second card layer, and a fabric layer fastened between the first and second card layer, where the fabric layer is exposed through the first cutout. A microchip may be provided on the first card layer, wherein the microchip is coupled with an antenna enabling authentication (e.g., contactless) by employing radio frequency identification (RFID) or near field communication (NFC).

Abstract: In some implementations, a regression prediction platform may obtain one or more feature sets related to an impending code change, wherein the one or more feature sets may include one or more features related to historical code quality for a developer associated with the impending code change or a quality of a development session associated with the impending code change. The regression prediction platform may provide the one or more feature sets to a machine learning model trained to predict a risk associated with deploying the impending code change based on a probability that deploying the impending code change will cause breakage after deployment and/or a probability that the impending code change will cause support issues after deployment. The regression prediction platform may generate one or more recommended actions related to the impending code change based on the risk associated with deploying the impending code change.

Abstract: A user assistance device aids validation of transactions on payment terminals. A payment terminal that accepts a payment card at a point of sale can be detected. A transaction amount for validation can be determined from the payment terminal. Subsequently, audio of the transaction amount can be generated. Playing of the audio on a user assistance device can then be triggered, allowing a user to hear the transaction amount before accepting or rejecting the transaction. Further, transaction information can be analyzed and used to suggest whether a customer should accept or reject the transaction.

Abstract: Aspects provided may allow for an entity to deactivate a virtual card number (VCN). In particular, aspects provide for deactivating VCNs based on a frequency or periodicity of an interaction. After deactivation, the entity may block future charges to the VCN. Further aspects provide for using incoming charge data sent to one or more previous users to train a machine learning model to determine the frequency or periodicity of the interaction. Additional aspects may also provide for including trial length when determining the deactivation date, providing VCN configuration options to a user, and notifying the user based on upcoming and current VCN status changes.

Abstract: Disclosed embodiments and aspects thereof pertain to user authentication. An original image can be selected from an electronic device of a user. Computer-generated images can be based on the original image such that the computer-generated images appear similar but are distinguishable such that the user can recognize them as computer-generated. The original image and one or more computer-generated images can be conveyed to a user device for display and selection. The user can be authenticated based on user input identifying the original image.

Abstract: Disclosed embodiments may include a method for systems and methods for providing mobility-impaired transactional or identify documents processing. The method may include receiving login credentials associated with an account and a request to deposit a check into the account, and identifying, using an image recognition model, a presence of a check in a visual field of the image capture device. Then the method may include obtaining, via the image capture device, a plurality of digital images of a front side of the check, and generating, based on the plurality of digital images of the front side of the check, a composite image of the front side of the check. The method may further include creating a recording of an endorsement gesture and transmitting the composite image of the front side of the check and the recording of the endorsement gesture to a back-end server.

Abstract: The technology described herein is directed to compositions and methods for modifying and controlling the activity of cells by expression of proteins from self-amplifying RNA (saRNA). Also described herein are compositions and methods for modifying and controlling the activity of cells by expression of proteins from self-amplifying RNA that is substituted with chemically modified nucleotides.

Abstract: A disposal assembly includes a motor coupled to operate a grinding mechanism of a food waste disposer. A first switch is coupled to selectively inhibit the supply of power from a power source to a main winding of the motor, and a second switch is coupled to selectively inhibit the supply of power from the power source to a start winding of the motor. A control circuit is configured to close the first and second switches during an initial startup time period, detect a voltage of at least one of the windings, and open the second switch in response to detection of the voltage above a start voltage threshold value. The control circuit is also configured to subsequent to opening the second switch, close the second switch in response to detection of the voltage below a low voltage threshold value indicative of an excess load condition of the motor.