Abstract: A multi-chip system is configured as an antenna array. The multi-chip system includes at least two transmitting sets distributed over one or more transmitting chips, where the transmitting sets each include an integrated transmitting antenna and an integrated up-conversion circuit. The multi-chip system further includes at least two receiving chips, where the receiving chips each include at least one integrated receiving antenna and at least one integrated down-conversion circuit.

Abstract: A multi-chip system is configured as an antenna array. The multi-chip system includes at least two transmitting sets distributed over one or more transmitting chips, where the transmitting sets each include an integrated transmitting antenna and an integrated up-conversion circuit. The multi-chip system further includes at least two receiving chips, where the receiving chips each include at least one integrated receiving antenna and at least one integrated down-conversion circuit.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for obtaining user interaction data indicative of interaction by a user with an application executing on a computing device, determining, based on the user interaction data, a likelihood that the user failed to complete a task the user started with the application executing on the computing device, and selectively causing, based on the likelihood, a task-completion reminder to be presented to the user in a manner selected based at least in part on historical reminder consumption.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for obtaining user interaction data indicative of interaction by a user with an application executing on a computing device, determining, based on the user interaction data, a likelihood that the user failed to complete a task the user started with the application executing on the computing device, and selectively causing, based on the likelihood, a task-completion reminder to be presented to the user in a manner selected based at least in part on historical reminder consumption.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for obtaining user interaction data indicative of interaction by a user with an application executing on a computing device, determining, based on the user interaction data, a likelihood that the user failed to complete a task the user started with the application executing on the computing device, and selectively causing, based on the likelihood, a task-completion reminder to be presented to the user in a manner selected based at least in part on historical reminder consumption.

Abstract: Systems and methods are provided that presents interesting local content to users at times when the content is most actionable and engaging without the user explicitly entering a search term or expressing intent. In one implementation, the system uses contextual signals about a user to rank local content. Signals may include, for example, who they (one or more users) are, what kinds of places they like, where they are, how familiar they are with the area, the time of day, where the user's friends have been nearby, among other information related to the one or more users. A system may be provided that uses contextual rules and machine learning to target content to users. The system learns which of these contextual signals are most important and alters its ranking function to optimize user engagement in terms of conversions.

Abstract: A method is provided that identifies a tax event that is to be included in a tax document and creates the tax document based on the tax event. The tax event is then locked when saving the tax document so that the tax event cannot be edited or voided. In addition, tax liability created by the tax document is posted to a financial account as part of saving the tax document.