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: A fraud detection system may identify a suspected fraudulent transaction based on one or more criteria. The transaction may be associated with a user. Based on identifying a suspected fraudulent transaction, the fraud detection system may receive augmented reality data from an augmented reality device of the user. The fraud detection system may determine, based on the augmented reality data, whether the transaction is fraudulent, and may take an action based on the determination.

Abstract: System, including methods, apparatus, and kits, for bone fixation using a fixation device including a mounting portion and a fastener that attaches to the mounting portion. In some embodiments, the fixation device may include first and second mounting portions configured to be disposed across a bone from each other and secured with a fastener that extends from one of the mounting portions, through the bone, and to the other mounting portion. The system also may include a tool to facilitate installation of the fixation device.

Abstract: Systems, methods, and apparatuses are described herein for performing sentiment analysis on electronic communications relating to one or more image-based communications methods, such as emoji. Message data may be received. The message data may correspond to a message that is intended to be sent but has not yet been sent to an application. Using a first machine learning model, one or more subsets of the plurality of emoji may be determined. The one or more subsets of the plurality of emoji may comprise one or more different types and quantities of emoji, and may each correspond to the same or a different sentiment. Using a second machine learning model, one or more emojis may be selected from the one or more subsets. The one or more emojis selected may correspond to responses to the message.

Abstract: Systems and methods provided herein may include a card replacement system. The system may include an automated teller machine in data communication with a server. The automated teller machine may include an input device; a processor; a replacement card storage containing at least one replacement card, wherein the at least one replacement cards may include a magnetic stripe and a chip; a magnetic stripe writer; a chip writer; and an embossing device. The processor may be configured to: receive a replacement card request via the input device; request replacement card information from the server; encode replacement card information onto the replacement card using the magnetic stripe writer and the chip writer; and emboss user information onto the replacement card using the embossing device.

Abstract: A fraud detection system may identify a suspected fraudulent transaction based on one or more criteria. The transaction may be associated with a user. Based on identifying a suspected fraudulent transaction, the fraud detection system may receive augmented reality data from an augmented reality device of the user. The fraud detection system may determine, based on the augmented reality data, whether the transaction is fraudulent, and may take an action based on the determination.

Abstract: A system and method in accordance with examples may include an identity verification kiosk. The identity verification kiosk may include a display comprising a user interface; a card reader; a document scanner; a printer; and a processor in data communication with a server and a database storing user information. The processor may be configured to receive an identification verification request from the user interface; receive user information via the document scanner or the card reader; retrieve user information from the database; verify the identity of a user; and print a unique identifier on a document using the printer.

Abstract: Systems and methods provided herein may include a card replacement system. The system may include an automated teller machine in data communication with a server. The automated teller machine may include an input device; a processor; a replacement card storage containing at least one replacement card, wherein the at least one replacement cards may include a magnetic stripe and a chip; a magnetic stripe writer; a chip writer; and an embossing device. The processor may be configured to: receive a replacement card request via the input device; request replacement card information from the server; encode replacement card information onto the replacement card using the magnetic stripe writer and the chip writer; and emboss user information onto the replacement card using the embossing device.

Abstract: In some embodiments, an authentication prompt may be generated based on (i) an object, detected in an image stream of an environment of a user, satisfying one or more criteria and (ii) object data associated with the detected object. The criteria may include (i) the object being in a plurality of different samples and (ii) the object being in a first spatial region of a first sample of the different samples, where the first spatial region of the first sample is a spatial region at which the user looked. An authentication response may be obtained from a user device of the user in connection with the authentication prompt, and the user may be authenticated based on the authentication response obtained from the user device.

Abstract: Systems, methods, and apparatuses are described herein for performing sentiment analysis on electronic communications relating to one or more image-based communications methods, such as emoji. Message data may be received. The message data may correspond to a message that is intended to be sent but has not yet been sent to an application. Using a first machine learning model, one or more subsets of the plurality of emoji may be determined. The one or more subsets of the plurality of emoji may comprise one or more different types and quantities of emoji, and may each correspond to the same or a different sentiment. Using a second machine learning model, one or more emojis may be selected from the one or more subsets. The one or more emojis selected may correspond to responses to the message.

Abstract: Disclosed herein are system, method, and device embodiments for implementing location identification in multi-factor authentication (MFA). In an example embodiment, a user service may present a geographic map based on a MFA process, and receive an authentication attempt including a geographic indicator and interaction information. Further, the system may determine whether the authentication attempt was made by a human based at least in part on the interaction information, determine whether the geographic indicator matches an expected response, and send, to an electronic device, an authentication result indicating whether geographic information was determined to be selected by a human and the geographic indicator was determined to match the expected response.

Abstract: In some implementations, an article of clothing includes a pocket that includes an opening to an interior cavity, and a lock device attached to the pocket. The lock device may include a first lock element and a second lock element configured to engage with the first lock element, where engagement of the first lock element and the second lock element at least partially closes the opening. The lock device may include a radio communication device configured to receive a signal for engagement or disengagement of the first lock element and the second lock element, and a controller configured to cause engagement or disengagement of the first lock element and the second lock element based on the signal.

Abstract: Systems and methods provided herein may include a card replacement system. The system may include an automated teller machine in data communication with a server. The automated teller machine may include an input device; a processor; a replacement card storage containing at least one replacement card, wherein the at least one replacement cards may include a magnetic stripe and a chip; a magnetic stripe writer; a chip writer; and an embossing device. The processor may be configured to: receive a replacement card request via the input device; request replacement card information from the server; encode replacement card information onto the replacement card using the magnetic stripe writer and the chip writer; and emboss user information onto the replacement card using the embossing device.

Abstract: Systems and methods for knowledge-based authentication are disclosed. The systems and methods can include an authentication system. The authentication system can generate authentication questions using object data received from an augmented reality system associated with a user. The authentication system can authenticate the user using the authentication questions. The augmented reality system may acquire image data, detect and validate objects in the image data, and provide object data for the objects to the authentication system. The augmented reality system may provide an indication to the user when an object is detected and may receive, in response, a user-acknowledgement of detection.

Abstract: Systems, methods, and apparatuses are described herein for performing sentiment analysis on electronic communications relating to one or more image-based communications methods, such as emoji. Message data may be received. The message data may correspond to a message that is intended to be sent but has not yet been sent to an application. Using a first machine learning model, one or more subsets of the plurality of emoji may be determined. The one or more subsets of the plurality of emoji may comprise one or more different types and quantities of emoji, and may each correspond to the same or a different sentiment. Using a second machine learning model, one or more emojis may be selected from the one or more subsets. The one or more emojis selected may correspond to responses to the message.

Abstract: An example method includes identifying, using a browser extension, content of a first webpage of a first website being displayed using a browser. The identifying of the content includes determining a product related to the content of the first webpage and determining that the product has been added to an electronic shopping cart. The method further includes determining a merchant that offers the product for sale and determining, based on a user account associated with the browser extension, a customer reward offered by the merchant and available to the user account. The method further includes determining that the browser has navigated away from the first webpage to a second webpage of a second website. The method further includes modifying the browser to display a graphical user interface element including information about the customer reward and a link configured to navigate the browser back to the first website.

Abstract: An augmented reality system that includes processors and storage devices storing instructions. The instructions configure the processors to perform operations. The operations include identifying a writing object in a video feed being displayed in an augmented reality viewer, identify a tip of the writing object based on a contour of the writing object, and tracking movements of the tip in the augmented reality viewer. The operations may also include generating a virtual file, the virtual file storing the tracked movements and generating a text file by performing an image recognition operation associating the tracked movements stored in the virtual file with one or more characters.

Abstract: Systems and methods provided herein may include a card replacement system. The system may include an automated teller machine in data communication with a server. The automated teller machine may include an input device; a processor; a replacement card storage containing at least one replacement card, wherein the at least one replacement cards may include a magnetic stripe and a chip; a magnetic stripe writer; a chip writer; and an embossing device. The processor may be configured to: receive a replacement card request via the input device; request replacement card information from the server; encode replacement card information onto the replacement card using the magnetic stripe writer and the chip writer; and emboss user information onto the replacement card using the embossing device.

Abstract: An example method includes identifying, using a browser extension, content of a first webpage of a first website being displayed using a browser. The identifying of the content includes determining a product related to the content of the first webpage and determining that the product has been added to an electronic shopping cart. The method further includes determining a merchant that offers the product for sale and determining, based on a user account associated with the browser extension, a customer reward offered by the merchant and available to the user account. The method further includes determining that the browser has navigated away from the first webpage to a second webpage of a second website. The method further includes modifying the browser to display a graphical user interface element including information about the customer reward and a link configured to navigate the browser back to the first website.

Abstract: A system and method in accordance with examples may include an identity verification kiosk. The identity verification kiosk may include a display comprising a user interface; a card reader; a document scanner; a printer; and a processor in data communication with a server and a database storing user information. The processor may be configured to receive an identification verification request from the user interface; receive user information via the document scanner or the card reader; retrieve user information from the database; verify the identity of a user; and print a unique identifier on a document using the printer.