Abstract: A method, computer system, and a computer program product for personalized content generation. Exemplary embodiments may include receiving content and a desired personality from which to personalize the content, as well as applying the desired personality to the content via application of a personalization model to the content.

Abstract: An artificial intelligence system monitors and records usage of a set of mobile devices that have been “paired” or grouped together. The system, over time, accumulates a history of times and locations associated with events that occur with respect to the devices. From this history, the system develops a usage model for the devices. The system, if it detects current usage diverges significantly from an expected usage, performs responsive actions which may include: notifying a user, via a paired device, that the mobile device may be lost or misplaced; command the “lost” mobile device to enter a reduced power state, to prolong battery life; and/or command the “lost” device to emit audible and/or visible signals intended to facilitate locating the device. In some embodiments, the system predicts an imminent loss of the device before it becomes lost, based on current usage vs. expected usage embodied in the model.