Abstract: An intelligent diagnosis system for diagnosing one or more health conditions is provided. The system comprises a plurality of preceptors configured to receive an initial set of parameters from a user, wherein the initial set of parameters represent at least one symptoms related to a health condition presented in a patient. The intelligent system further includes a cognition module coupled to the plurality of preceptors and configured to identify a first set of probable conditions based on the initial set of parameters and generate a set of reactions in response to the first set of probable conditions. The intelligent diagnosis system further includes a reaction module coupled to the cognition module and configured to select one or more reactions from the set of reactions and present the one or more reactions to the user.

Abstract: A system for generating a differential diagnosis in a healthcare environment is presented. The system includes a receiver configured to receive one or more user inputs and generate a plurality of input streams. The system further includes a processor including a multi-stream neural network, a training module, and a differential diagnosis generator. The multi-stream neural network includes a plurality of feature extractor sub-networks and a combiner sub-network. The training module includes a feature optimizer configured to train each feature-extractor sub-network individually, and a combiner optimizer configured to train the plurality of feature extractor sub-networks and the combiner sub-network together. The training module is configured to alternate between the feature optimizer and the combiner optimizer until a training loss reaches a defined saturation value.

Abstract: An intelligent diagnosis system for diagnosing one or more health conditions is provided. The system comprises a plurality of preceptors configured to receive an initial set of parameters from a user, wherein the initial set of parameters represent at least one symptoms related to a health condition presented in a patient. The intelligent system further includes a cognition module coupled to the plurality of preceptors and configured to identify a first set of probable conditions based on the initial set of parameters and generate a set of reactions in response to the first set of probable conditions. The intelligent diagnosis system further includes a reaction module coupled to the cognition module and configured to select one or more reactions from the set of reactions and present the one or more reactions to the user.

Abstract: The present disclosure describes methods, systems, and computer program products for providing automatic regression analysis of software source code. One computer-implemented method includes selecting particular source code of a software produce from a source code repository, preparing the selected source code to extract information while executing, performing a series of actions on the prepared selected source code resulting in logged data associated with the performed actions, submitting the logged data to an automatic regression analyzer application, determining changes made to the particular source code, and determining software tests needed to be executed to properly test the changed particular source code and other affected source code.

Abstract: A generic mobile synchronization framework facilitates synchronization of data objects between platforms by comparing these data objects from one platform with a replica of data objects on the other platform. Generic messages identifying the differences in the data objects are converted into an adapted message suitable for use by the underlying synchronization hardware and sent to the platform needing synchronization. That platform converts adapted message to the corresponding original generic messages, and executes them, synchronizing the data objects in that platform with the originating platform.

Abstract: Control techniques support low latency display operations on thin client devices. In response to a request to render a page in a user interface, the control may distinguish fields that likely have immediately displayable content from fields that are unlikely to have immediately displayable content. The control may retrieve data for those fields that are likely to have immediately displayable content and render them in an initial page. Content for the fields that are unlikely to have immediately displayable content may be generated as a background process and may be rendered in supplemental page(s) as they become available. The control permits quick rendering of basic pages, which may include navigation functionality, and therefore promote early navigation operations or quick review of data which can be made immediately available.

Abstract: Control techniques support low latency display operations on thin client devices. In response to a request to render a page in a user interface, the control may distinguish fields that likely have immediately displayable content from fields that are unlikely to have immediately displayable content. The control may retrieve data for those fields that are likely to have immediately displayable content and render them in an initial page. Content for the fields that are unlikely to have immediately displayable content may be generated as a background process and may be rendered in supplemental page(s) as they become available. The control permits quick rendering of basic pages, which may include navigation functionality, and therefore promote early navigation operations or quick review of data which can be made immediately available.