Abstract: Embodiments may provide a document system that receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Theses responsiveness calls may be used to refining the scoring algorithm used by the document system of to generate a desired confidence score for the document system.

Abstract: Embodiments may provide a document system that receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Theses responsiveness calls may be used to refining the scoring algorithm used by the document system of to generate a desired confidence score for the document system.

Abstract: Embodiments may provide a document system that receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Theses responsiveness calls may be used to refining the scoring algorithm used by the document system of to generate a desired confidence score for the document system.

Abstract: In various embodiments, a dispatch application performs multiply-accumulate (“MAC”) computations across parallel processing elements. In operation, the dispatch application determines a first quantity of iterations associated with a given MAC computation. The dispatch application determines a maximum number of tasks that can execute concurrently across a set of parallel processing elements. Subsequently, the dispatch application causes the maximum number of tasks to be executed concurrently across the set of parallel processing elements in order to perform the MAC computation. During execution, each task performs a substantially similar number of the first quantity of iterations. Relative to conventional tile-based approaches to performing MAC computations across parallel processing elements, the dispatch application can more evenly distribute iterations across the different parallel processing elements.

Abstract: Methods for superior capsular repair use knotless anchors on the glenoid row to simplify graft shuttling and reduce the number of sutures required to complete the repair. A single suture knotlessly attached to the graft and to a glenoid row anchor is the primary pulley used to shuttle the graft into the joint Other sutures attached to the graft may be placed in working portals to add further control over the graft orientation.

Abstract: Embodiments may provide a document system that receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Theses responsiveness calls may be used to refining the scoring algorithm used by the document system of to generate a desired confidence score for the document system.

Abstract: Embodiments may provide a document system that receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Theses responsiveness calls may be used to refining the scoring algorithm used by the document system of to generate a desired confidence score for the document system.

Abstract: Methods for superior capsular repair use knotless anchors on the glenoid row to simplify graft shuttling and reduce the number of sutures required to complete the repair. A single suture knotlessly attached to the graft and to a glenoid row anchor is the primary pulley used to shuttle the graft into the joint Other sutures attached to the graft may be placed in working portals to add further control over the graft orientation.

Abstract: Embodiments may provide a document system that receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Theses responsiveness calls may be used to refining the scoring algorithm used by the document system of to generate a desired confidence score for the document system.

Abstract: The invention provided is a system configured to use a topic-related generative model to build a document map from a plurality of documents in a storage medium and generate a control set from the plurality of documents including at least two stratified document sets. The system then receives a set of control set metrics regarding the control set from a user. The system selects a machine call responsive document from a document map based on a determined predictive responsiveness for that document. The system receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Finally, the system compares the responsiveness of the machine call document to the control set metrics and rebuilds the document map based on the results of the comparison between the machine call document responsiveness and the control set metrics.

Abstract: The invention provided is a system configured to use a topic-related generative model to build a document map from a plurality of documents in a storage medium and generate a control set from the plurality of documents including at least two stratified document sets. The system then receives a set of control set metrics regarding the control set from a user. The system selects a machine call responsive document from a document map based on a determined predictive responsiveness for that document. The system receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Finally, the system compares the responsiveness of the machine call document to the control set metrics and rebuilds the document map based on the results of the comparison between the machine call document responsiveness and the control set metrics.

Abstract: A method, computer readable medium, and system are disclosed for processing a segmented data set. The method includes the steps of receiving a data structure storing a plurality of values segmented into a plurality of sequences; assigning a plurality of processing elements to process the plurality of values; and processing the plurality of values by the plurality of processing elements according to a merge-based algorithm. Each processing element in the plurality of processing elements identifies a portion of values in the plurality of values allocated to the processing element based on the merge-based algorithm. In one embodiment, the processing elements are threads executed in parallel by a parallel processing unit.

Abstract: The invention provided is a system configured to use a topic-related generative model to build a document map from a plurality of documents in a storage medium and generate a control set from the plurality of documents including at least two stratified document sets. The system then receives a set of control set metrics regarding the control set from a user. The system selects a machine call responsive document from a document map based on a determined predictive responsiveness for that document. The system receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Finally, the system compares the responsiveness of the machine call document to the control set metrics and rebuilds the document map based on the results of the comparison between the machine call document responsiveness and the control set metrics.

Abstract: A method, computer readable medium, and system are disclosed for processing a segmented data set. The method includes the steps of receiving a data structure storing a plurality of values segmented into a plurality of sequences; assigning a plurality of processing elements to process the plurality of values; and processing the plurality of values by the plurality of processing elements according to a merge-based algorithm. Each processing element in the plurality of processing elements identifies a portion of values in the plurality of values allocated to the processing element based on the merge-based algorithm. In one embodiment, the processing elements are threads executed in parallel by a parallel processing unit.

Abstract: The invention provided is a system configured to use a topic-related generative model to build a document map from a plurality of documents in a storage medium and generate a control set from the plurality of documents including at least two stratified document sets. The system then receives a set of control set metrics regarding the control set from a user. The system selects a machine call responsive document from a document map based on a determined predictive responsiveness for that document. The system receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Finally, the system compares the responsiveness of the machine call document to the control set metrics and rebuilds the document map based on the results of the comparison between the machine call document responsiveness and the control set metrics.