International Business Machines Corporation

David Stanich

John Edward Petri

Gregory Paul Andrews

Provided are techniques for generating and customizing summarized notes. A template is selected from a plurality of templates based on a context using a machine learning model. The template includes one or more translatable string resources with variables to represent key attributes extracted from historical notes. A summarized note is generated using values of the key attributes for the variables in the translatable string resources of the template.

Generating and customizing summarized notes

A first user of a first device transmits information to a second user of a second device located within a predetermined distance from the first device, wherein an ad-hoc network is formed from the first device and the second device. In response to determining that the information is likely to be of interest to other users, the information is propagated from the second user of the second device, to a third user of a third device within the predetermined distance from the second device, and the third device is included in the ad-hoc network.

Peer to peer propagation of information in social networks

A container agent executing on the mobile device receives a container from a container manager server in response to the mobile device being within the predetermined proximity of the physical location. The container comprises instructions that modify the original functionality of the mobile device. The container agent monitors operation of the mobile device to determine if the operation satisfies a triggering condition for execution of the container, and if so, executes the container. In response to the mobile device leaving the predetermined proximity of the physical location, the container agent removes the container from the mobile device and restores the original functionality of the mobile device.

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Rochester, MN, United States of America

David Stanich