Abstract: A computer-implemented method includes tracking, by a computing device, user browsing activity of a first page having known elements; mapping, by the computing device, the user browsing activity to the known elements; storing, by the computing device, mapping information that maps the user browsing activity to the known elements; tracking, by the computing device, user browsing activity of a second page having unknown elements; identifying, by the computing device, the unknown elements based on the mapping information and the user browsing activity of the second page; and executing, by the computing device, one or more computer-based instructions based on the determining the unknown elements that were identified.

Abstract: The disclosed methods may receive a first request for access to a first system memory from a new user and a first justification, the first request includes first role information and first current access information of the new user, determine whether the first request is within a request cluster based on first role history information and current access history information. When the first request is within the request cluster, generate a matrix from the first role information and the first current access information, and determine using a first neural network, whether to grant the first request based on the matrix. When the first request is granted by the first neural network, determine, using a second neural network, whether the first justification is similar to first justification history information. When the first justification is similar to the first justification history information, grant the new user access to the first system memory.

Abstract: A device detects a communication involving a user associated with an account and a service representative, and sends, to a user device associated with the account, an authentication notification that causes the user device to display an authentication field for the user. The device sends, to a service representative device associated with the service representative, a message that indicates that the service representative is to request, via the communication, the user to enter personal information associated with the user into the authentication field, where the user device is configured to generate a first authentication code based on a user input received from the user device in the authentication field. The device generates a second authentication code based on personal information associated with the account from a data structure, receives the first authentication code, and performs an action based on the first authentication code and the second authentication code.

Abstract: Systems and methods for augmented reality authentication of a user are described, including authenticating a user by presenting the user with augmented reality authentication challenges, evaluating the user's response, and using the response to authenticate the user.

Abstract: A scalable system and method for completing a model task using a serverless architecture is disclosed. The system may include memory storing instructions and one or more processors. The method may include receiving a request to complete a model task; retrieving a first model and a first hyperparameter based on the request; provisioning computing resources to a first development instance configured to train the first model based on the first hyperparameter and the model task; training, by the first development instance, an instance of the first model to produce a trained model and terminating said training upon satisfaction of a training criterion; receiving the trained model and a first performance metric; receiving a second performance metric associated with a second model; and terminating the development instance based on a determination that the termination condition is satisfied based on at least one of the first and second performance metrics.

Abstract: In some embodiments, a client device may obtain an external signal. The hardware components of an integrated circuit of the client device may be reconfigured from a first configuration to a second configuration based on information in the external signal such that one or more portions of the integrated circuit that was previously inaccessible is now accessible and an application may access the one or more portions of the integrated circuit. Further, in response to a trigger, the components of the integrated circuit may reconfigure from the second configuration to the first configuration such that the one or more portions of the integrated circuit is inaccessible.

Abstract: Techniques to improve detection and security of images, including formation and detection of matrix-based images. A matrix may be detected in an environment. The matrix may comprise a plurality of colors. The plurality of colors may include a least prevalent color, of a plurality of colors in the environment.

Abstract: Described is a system (and method) for automating the process of generating variations of a website that may be continually evaluated to improve a user interaction flow. The process may be based on a genetic algorithm that creates improving generations of websites. For example, the system may automate the creation of different layouts for a website and evaluate the effectiveness of each layout based on a particular user interaction goal. The most effective (e.g., top performing) layouts may be determined and then “bred” as part of an iterative improvement process.

Abstract: A method for determining document compatibility between documents stored locally on a plurality of user devices, while maintaining the confidentiality of each of the respective documents. The method includes requesting and receiving a token from each of the plurality of user devices, the token indicative of the presence or absence of a specific element in each respective document. The method further includes comparing the value of each of the respective tokens. When each of the tokens have a true value, the specific element for each respective document to be compatible and sends a message to each of the plurality of user devices indicating the compatibility of the respective documents. When at least one of the tokens has a false value, the specific element for each respective document to be incompatible and sends a message to each of the plurality of user devices indicating the incompatibility of the respective documents.

Abstract: Augmented reality-based user authentication for automatic teller machines is disclosed. Embodiments include a system with one or more memory devices storing instructions. The system may further include one or more processors configured to execute the instructions and to receive an authentication request from a user of an ATM. In some embodiments, the processor may retrieve, from the one or more memory devices, an augmented reality password specific to a user, the password comprising an augmented reality object. In other embodiments, the processor may identify a personal user device configured to receive the password, and personalize the password, based on information previously configured by the user. In yet other embodiments, the processor may be configured to present the augmented reality object via a display on the personal user device, and to determine, based on input provided by a user to the augmented reality object, whether to approve the authentication request.

Abstract: Aspects described herein may allow for receiving authorization allowing monitoring a user's spending account. A base-line spending profile and a dysfunctional spending profile for the user may be established. When notification of a pending purchase transaction is received, a determination may be made as to whether the pending purchase transaction is in accordance with the base-line spending profile of the user. If the pending purchase transaction is in accordance with the base-line spending profile of the user, the pending purchase transaction may be allowed. However, if the pending purchase transaction is not in accordance with the base-line spending profile of the user, then a temporary secondary approval may be instituted for a predetermined period of time and a secondary approval person may be electronically notified that their approval is required before allowing the pending purchase transaction to be made using the spending account of the user.

Abstract: A system includes a data owner interface, a database, a requester interface, an approver interface, a database interface, and a central controller. The data owner interface can provide protected data and data usage rules. The database can store the protected data. The requester interface can provide a request to access the protected data and receive sanitized results. The approver interface can provide approval or disapproval of access to the protected data and receive the data usage rules. The database interface can store the protected data in the database and provide access to the protected data.

Abstract: Embodiments of systems and methods for generating user interfaces are described. In an embodiment, a monitoring tool can observe the user's interaction with a computing device, collect input and output operation data, and calculate a user effectiveness score based on the collected data. A user interface can be generated based on the user effectiveness score to match the user's proficiency.

Abstract: Systems and methods for transforming legacy models and transforming a model into a neural network model are disclosed. In an embodiment, a method may include receiving input data comprising an input model, an input dataset, and an input command. The method may include applying the input model to the input dataset to generate model output and storing model output and at least one of input model features or a map of the input model. The method may include generating a candidate neural network models with parameters. The method may include tuning the candidate neural network models to the input model. The method may include receiving model output from the candidate neural network models and selecting a neural network model from the candidate neural network models based on the candidate model output and the model selection criteria. In some aspects, the method may include returning the selected neural network model.

Abstract: A browser extension application is configured to collect data relating to the user's browsing activity and display notifications on a user interface. A user can instruct a web browsing application to navigate to a website. The browser extension application can detect a type of the webpage, and based on the type of the webpage, collect certain information relating to what the webpage is asking the user to provide and what the user is providing to the webpage. The browser extension application can transmit this information to a browser extension server. The browser extension server can determine a likelihood that the website is associated with instances of hacking online accounts. The browser extension server can transmit a signal to the browser extension application of the user's computing device. The browser extension application can take an action, e.g., direct the user to another website or log out of the user's account.

Abstract: A device receives information indicating first names and last names of individuals and applies different cursive fonts to each of the first names and the last names to generate images of different cursive first names and different cursive last names. The device applies different transformations to the images of the different cursive first names and the different cursive last names to generate a set of first name images and a set of last name images. The device combines each first name image with each last name image to form a set of signature images and trains a neural network model, with the set of signature images, to generate a trained neural network model. The device receives an image of a signature and processes the image of the signature, with the trained neural network model, to recognize a first name and a last name in the signature.

Abstract: A model optimizer is disclosed for managing training of models with automatic hyperparameter tuning. The model optimizer can perform a process including multiple steps. The steps can include receiving a model generation request, retrieving from a model storage a stored model and a stored hyperparameter value for the stored model, and provisioning computing resources with the stored model according to the stored hyperparameter value to generate a first trained model. The steps can further include provisioning the computing resources with the stored model according to a new hyperparameter value to generate a second trained model, determining a satisfaction of a termination condition, storing the second trained model and the new hyperparameter value in the model storage, and providing the second trained model in response to the model generation request.

Abstract: Aspects described herein may allow for receiving authorization allowing monitoring a user's spending account. A base-line spending profile and a dysfunctional spending profile for the user are established. When notification of a pending purchase transaction is received, a determination is made as to whether the pending purchase transaction is in accordance with the base-line spending profile of the user. If the pending purchase transaction is in accordance with the base-line spending profile of the user, the pending purchase transaction is allowed, however, if the pending purchase transaction is not in accordance with the base-line spending profile of the user, then a temporary secondary approval may be instituted for a predetermined period of time and a secondary approval person is electronically notified that their approval is required before allowing the pending purchase transaction to be made using the spending account of the user.

Abstract: A scalable system and method for completing a model task using a serverless architecture is disclosed. The system may include a model optimizer having one or more memory units for storing instructions and one or more processors. The method may include receiving a request to complete a model task, and retrieving a stored model and a first hyperparameter based on the request. The method may include provisioning first computing resources to a development instance configured to train the retrieved model based on the first hyperparameter and the model task. The method may include receiving, from the development instance, a trained model and a performance metric. The method may include receiving, from a different development instance, a different performance metric associated with a different model, and terminating the development instance based on a determination that the termination condition is satisfied.

Abstract: In some embodiments, a client device may obtain an external signal. The hardware components of an integrated circuit of the client device may be reconfigured from a first configuration to a second configuration based on information in the external signal such that one or more portions of the integrated circuit that was previously inaccessible is now accessible and an application may access the one or more portions of the integrated circuit. Further, in response to a trigger, the components of the integrated circuit may reconfigure from the second configuration to the first configuration such that the one or more portions of the integrated circuit is inaccessible.