Abstract: A system for optimizing project and/or task completion through the use of machine learning is disclosed. The system receives attributes for a project and participants to participate in the project. The attributes are provided to a natural language processing engine to determine content related to the attributes. Once the content is determined, the system receives a selection of a portion of the content and attributes to be searched via a search engine of the system. The search engine may then determine potential combinations of participants, such as individuals, devices, programs, and/or robots, which are suited to participate in the project. A selected combination of participants may perform the project. Feedback relating to the project may be utilized to adjust search algorithm variable weights and parameters utilized by the search engine to optimize the relevance of potential combinations of participants generated in response to a future search for a future project.

Abstract: A system for optimizing project and/or task completion through the use of machine learning is disclosed. The system receives attributes for a project and participants to participate in the project. The attributes are provided to a natural language processing engine to determine content related to the attributes. Once the content is determined, the system receives a selection of a portion of the content and attributes to be searched via a search engine of the system. The search engine may then determine potential combinations of participants, such as individuals, devices, programs, and/or robots, which are suited to participate in the project. A selected combination of participants may perform the project. Feedback relating to the project may be utilized to adjust search algorithm variable weights and parameters utilized by the search engine to optimize the relevance of potential combinations of participants generated in response to a future search for a future project.

Abstract: A system for optimizing project and/or task completion through the use of machine learning is disclosed. The system receives attributes for a project and participants to participate in the project. The attributes are provided to a natural language processing engine to determine content related to the attributes. Once the content is determined, the system receives a selection of a portion of the content and attributes to be searched via a search engine of the system. The search engine may then determine potential combinations of participants, such as individuals, devices, programs, and/or robots, which are suited to participate in the project. A selected combination of participants may perform the project. Feedback relating to the project may be utilized to adjust search algorithm variable weights and parameters utilized by the search engine to optimize the relevance of potential combinations of participants generated in response to a future search for a future project.

Abstract: An asymmetrical bearing is disclosed for use in a gear pump. The bearing may have first and second opposing faces, and first and second bores in communication with the first and second opposing faces. The first and second bores may be configured to receive first and second shafts of a gear pump. The bearing may have a first flat side surface and a second curved side surface, where the second curved side surface includes first and second curved portions associated with the first and second bores, respectively. The first and second faces and the first flat side surface may also include a plurality of grooves configured to direct a flow of process fluid over the bearing during operation of the pump. Self-aligning features can be provided on one or more sealing elements to ensure desired alignment of the sealing components during assembly. Other embodiments are described and claimed.

Abstract: An asymmetrical bearing is disclosed for use in a gear pump. The bearing may have first and second opposing faces, and first and second bores in communication with the first and second opposing faces. The first and second bores may be configured to receive first and second shafts of a gear pump. The bearing may have a first flat side surface and a second curved side surface, where the second curved side surface includes first and second curved portions associated with the first and second bores, respectively. The first and second faces and the first flat side surface may also include a plurality of grooves configured to direct a flow of process fluid over the bearing during operation of the pump. Self-aligning features can be provided on one or more sealing elements to ensure desired alignment of the sealing components during assembly. Other embodiments are described and claimed.