Abstract: Systems and methods of epidemiological modeling using machine learning are provided, and can include receiving values for an occurrence of the infectious disease during a first time period, generating, from a model trained by a machine learning system, predictions for the occurrence of the infectious disease over a second time period, performing, by a simulator using the predictions, one or more simulations of the occurrence of the infectious disease in one or more geographic regions during one or more time periods subsequent to the second time period, and providing, to a user interface, a first simulation of the one or more simulations performed by the simulator for a first geographic region of the one or more geographic regions during a time period of the one or more time periods.

Abstract: The system can identify data stored in repositories that indicate changes in the version of the application relative to a prior version of the application tested or deployed before receipt of the request to test the performance of the version of the application. The system can determine, based on the data and using machine learning with historical data associated with applications tested or deployed to test performance of the version, and without execution of the tests, a score for each of a plurality of tests configured to test performance of the version of the application. The system can select, based on the scores, a subset of the tests to execute, and provide an indication of the selected subset of the tests to cause execution of the subset of the tests to evaluate performance of the version of the application prior to deployment of the version of the application.

Abstract: Mobile POS techniques are presented. A POS interface is configured and distributed to a mobile device over a network connection. The POS interface is a self-contained retail transaction system for a retailer. The mobile device is configured to execute the retail transaction system providing remote network or cloud-based services for data retrieval, and data storage to the retail transaction system on the mobile device. One or more retail transactions are processed on the mobile device via the POS interface.

Abstract: Mobile POS techniques are presented. A POS interface is configured and distributed to a mobile device over a network connection. The POS interface is a self-contained retail transaction system for a retailer. The mobile device is configured to execute the retail transaction system providing remote network or cloud-based services for data retrieval, and data storage to the retail transaction system on the mobile device. One or more retail transactions are processed on the mobile device via the POS interface.