Abstract: Methods and systems for predicting keystrokes using a neural network analyzing cumulative effects of a plurality of factors impacting the typing behavior of a user. The factors may include typing pattern, previous keystrokes, specifics of keyboard used for typing, and contextual parameters pertaining to a device displaying the keyboard and the user. A plurality of features may be extracted and fused to obtain a plurality of feature vectors. The plurality of feature vectors can be optimized and processed by the neural network to identify known features and learn unknown features that are impacting the typing behavior. Thereby, the neural network predicts keystrokes using the known and unknown features.

Abstract: Methods and systems for predicting keystrokes using a neural network analyzing cumulative effects of a plurality of factors impacting the typing behavior of a user. The factors may include typing pattern, previous keystrokes, specifics of keyboard used for typing, and contextual parameters pertaining to a device displaying the keyboard and the user. A plurality of features may be extracted and fused to obtain a plurality of feature vectors. The plurality of feature vectors can be optimized and processed by the neural network to identify known features and learn unknown features that are impacting the typing behavior. Thereby, the neural network predicts keystrokes using the known and unknown features.

Abstract: A control circuit receives from a message source via a network interface a database-update message having at least one data object in a data-independent data format comprising human-readable text. The control circuit then automatically converts that data object into a structured query language (SQL) message. Upon then selecting at least one of a plurality of candidate SQL databases to provide a selected SQL database, the control circuit transmits the SQL message to the selected SQL database.

Abstract: Systems, apparatuses, and methods are provided herein for facilitating group retail purchases via electronic user interfaces. A method comprises providing, with a control circuit, a group shopping interface to a plurality of user interface devices, receiving a purchase request from a member of a shopping group, the purchase request comprises a request to purchase one or more products, retrieving product characteristics associated with the one or more products from a product database, retrieving at least one purchase rule from a rules database storing purchase rules for a plurality of shopping groups, wherein the rules database comprises system populated purchase rules generated through a machine learning algorithm based on a group history of the shopping group, and automatically rejecting or automatically approving the purchase request based on the at least one purchase rule and the product characteristics associated with the one or more products.