Abstract: An asynchronous content delivery system is provided that pushes messages or notifications of content designed for spaced repetition. Machine learning may be used to create, select and prioritize the messages/notifications. The asynchronous content delivery system may support asynchronous promotion of the content to the user. The asynchronously delivered content may be at least partially derived from a conversation agent operating on a user device. In another example, the content may be created or selected independently by a plurality of content providers and artificial intelligence algorithms. The content may be classified in sets according to a set of rules of combination. The content may be asynchronously delivered to end user devices according to a set of rules of delivery. The rules of delivery may influence a manner in which the content, or a representation thereof, is manifest on the end user devices.

Abstract: An asynchronous content delivery system is provided that pushes messages or notifications of content designed for spaced repetition. Machine learning may be used to create, select and prioritize the messages/notifications. The asynchronous content delivery system may support asynchronous promotion of the content to the user. The asynchronously delivered content may be at least partially derived from a conversation agent operating on a user device. In another example, the content may be created or selected independently by a plurality of content providers and artificial intelligence algorithms. The content may be classified in sets according to a set of rules of combination. The content may be asynchronously delivered to end user devices according to a set of rules of delivery. The rules of delivery may influence a manner in which the content, or a representation thereof, is manifest on the end user devices.

Abstract: An asynchronous content delivery system is provided that pushes messages or notifications of content designed for spaced repetition. Machine learning may be used to create, select and prioritize the messages/notifications. The asynchronous content delivery system may support asynchronous promotion of the content to the user. The asynchronously delivered content may be at least partially derived from a conversation agent operating on a user device. In another example, the content may be created or selected independently by a plurality of content providers and artificial intelligence algorithms. The content may be classified in sets according to a set of rules of combination. The content may be asynchronously delivered to end user devices according to a set of rules of delivery. The rules of delivery may influence a manner in which the content, or a representation thereof, is manifest on the end user devices.

Abstract: An asynchronous content delivery system is provided that pushes messages or notifications of content designed for spaced repetition. Machine learning may be used to create, select and prioritize the messages/notifications. The asynchronous content delivery system may support asynchronous promotion of the content to the user. The asynchronously delivered content may be at least partially derived from a conversation agent operating on a user device. In another example, the content may be created or selected independently by a plurality of content providers and artificial intelligence algorithms. The content may be classified in sets according to a set of rules of combination. The content may be asynchronously delivered to end user devices according to a set of rules of delivery. The rules of delivery may influence a manner in which the content, or a representation thereof, is manifest on the end user devices.

Abstract: An asynchronous content delivery system is provided that pushes messages or notifications of content designed for spaced repetition. Machine learning may be used to create, select and prioritize the messages/notifications. The asynchronous content delivery system may support asynchronous promotion of the content to the user. The asynchronously delivered content may be at least partially derived from a conversation agent operating on a user device. In another example, the content may be created or selected independently by a plurality of content providers and artificial intelligence algorithms. The content may be classified in sets according to a set of rules of combination. The content may be asynchronously delivered to end user devices according to a set of rules of delivery. The rules of delivery may influence a manner in which the content, or a representation thereof, is manifest on the end user devices.

Abstract: A thin client resides on a personal data assistant (PDA) and provides functionality for Java applications being executed by a Java virtual machine (JVM) on the PDA. The thin client enhances the PDA's operating system (OS) and facilitates the selection and downloading from a server of Java applications, the exchange of data between applications executing on the PDA, the enablement of the PDA's drivers, peripherals, and software functional components for Java applications, synchronization of data between Java applications on the PDA and the server, security and encryption of data, and maintenance of a connection between the PDA and a server.