Abstract: Systems and methods for establishing relationships between building automation system components and controlling building automation system components. Data for a building automation system components may be received from the building automation system components and one or more models may be applied to the received data to determine types of the building automation system components and relationships between building automation system components. Once the types of building automation system components have been determined or identified, uniform names may be applied to the building automation system components. The received data may include, among other data, naming data and telemetry data from the building automation system components.

Abstract: A computer processor includes a dispatch stage and a dependency skipping execution unit. The dispatch stage is configured to dispatch a plurality of instructions that include a general purpose instruction configured to produce first data, a dependent instruction configured to produce second data, and an indirect dependent instruction configured to produce third data. The dependency skipping execution unit is configured to monitor the plurality of instructions and to process the indirect dependent instruction in response to the general purpose instruction producing the first data. The indirect dependent instruction is issued independently from the second data produced by the indirect dependent instruction.

Abstract: The present disclosure is a modular accessory that is compatible with a first storage component that has first mount interfaces, and a second storage component that is different from the first storage component that has second mount interfaces. The modular accessory includes a structure and an accessory mount. The structure is configured to hold or support one or more objects. The accessory mount is coupled to the structure and defines an accessory mount interface. The accessory mount interface is configured to engage one or more first mount interfaces and one or more of the second mount interfaces.

Abstract: This application describes methods, systems, and apparatus for allowing a user to easily determine whether the user and/or other user(s) have viewed content. For example, a program guide may display one or more graphics associated with the content (e.g., a movie poster), and in response to determining whether the user has viewed the content, the program guide may include an indication of whether the user has viewed the content. The program guide may include indications associated with multiple users (e.g., different colors, icons, graphics, or text). The program guide may filter the content based on whether the user has viewed the content (e.g., only display content the user has not viewed). A computing device storing the content may manage recording of the content based on whether the user has viewed the content (e.g., delete the recording if the user has viewed the content). A viewing history of the user may be maintained.

Abstract: An indicia-reading module is capable of integration into the smallest face of thin-profile smart device. The module employs chip-on-board packaging and a customized sensor enclosure to eliminate the stack-up height found in conventional packaging. The module also employs a customized frame to reduce volume by integrating circuit subassembly circuit boards into a unique architecture and by serving as the lenses for the illuminator and the aimer, thereby eliminating the need for any extra lenses or holders.

Abstract: Systems and methods for providing machine-learning enabled user-specific evaluations are disclosed. Implementations include obtaining a first set of evaluation data from a user interface, obtaining a first set of target-descriptive data including target-specific characteristics objectively describing the evaluation targets, and training, with a machine-learning algorithm, a user-specific evaluation profile indicating evaluation patterns relative to the first set of evaluation data and the first set of target-specific characteristics. Implementations include applying the user-specific evaluation profile to a second set of target-descriptive data to predict a user-specific evaluation.

Abstract: A method of performing instructions in a computer processor architecture includes determining that a load instruction is being dispatched. Destination related data of the load instruction is written into a mapper of the architecture. A determination that a compare immediate instruction is being dispatched is made. A determination that a branch conditional instruction is being dispatched is made. The branch conditional instruction is configured to wait until the load instruction produces a result before the branch conditional instruction issues and executes. The branch conditional instruction skips waiting for a finish of the compare immediate instruction.

Abstract: A computer processor includes an instruction pipeline configured to dispatch a plurality of branch-to-count (BCNT) instructions and an instruction fetch unit (IFU). The IFU is configured to execute an instruction loop for fetching a targeted number of BCNT instructions from the instruction pipeline and to monitor a loop counter that counts a number of fetched BCNT instructions that are actually fetched from the instruction pipeline in response to executing the instruction loop. The IFU resolves a final BCNT instruction included in the instruction loop in response to the number of fetched BCNT instructions reaching a target loop count value.

Abstract: A computer processor includes a dispatch stage and a dependency skipping execution unit. The dispatch stage is configured to dispatch a plurality of instructions that include a general purpose instruction configured to produce first data, a dependent instruction configured to produce second data, and an indirect dependent instruction configured to produce third data. The dependency skipping execution unit is configured to monitor the plurality of instructions and to process the indirect dependent instruction in response to the general purpose instruction producing the first data. The indirect dependent instruction is issued independently from the second data produced by the indirect dependent instruction.

Abstract: A position within displayed digital content that a user is ocularly focused on (e.g., where within displayed content the user is looking) may be determined. Digital content comprising a visual indication of the position may be rendered. The visual indication of the position may be displayed on the same display that the user is looking at and/or a different display. In some embodiments, the position may be determined based on data generated by a sensor physically attached to the user. Additionally or alternatively, the position may be determined based on data generated by a stationary computing device comprising a sensor configured to track changes in ocular position of the user. In some embodiments the digital content may comprise digital images and/or video (e.g., broadcast content, on-demand content, images and/or video associated with a computer application, or the like).

Abstract: This application describes methods, systems, and apparatus for allowing a user to easily determine whether the user and/or other user(s) have viewed content. For example, a program guide may display one or more graphics associated with the content (e.g., a movie poster), and in response to determining whether the user has viewed the content, the program guide may include an indication of whether the user has viewed the content. The program guide may include indications associated with multiple users (e.g., different colors, icons, graphics, or text). The program guide may filter the content based on whether the user has viewed the content (e.g., only display content the user has not viewed). A computing device storing the content may manage recording of the content based on whether the user has viewed the content (e.g., delete the recording if the user has viewed the content). A viewing history of the user may be maintained.

Abstract: The disclosure is directed a method including capturing image data of a real-world environment at a first location and a second location different than the first location. The image data includes a plurality of intersecting image data points captured at both the first location and the second location, and a representation of an area occluded by an obstacle from a point of view of a user and; generating a synthesized field of view (“FOV”) that includes the plurality of intersecting image data points such that the synthesized FOV includes an unobstructed view of the area occluded by the obstacle from the point of view of the user; and rendering the synthesized FOV as a visual display.

Abstract: A computer system, processor, programming instructions and/or method for balancing the workload of processing pipelines that includes an execution slice, the execution slice comprising at least two processing pipelines having one or more execution units for processing instructions, wherein at least a first processing pipeline and a second processing pipeline are capable of executing a first instruction type; and an instruction decode unit for decoding instructions to determine which of the first processing pipeline or the second processing pipeline to execute the first instruction type. The processor configured to calculate at least one of a workload group consisting of: the first processing pipeline workload, the second processing pipeline workload, and combinations thereof; and select the first processing pipeline or the second processing pipeline to execute the first instruction type based upon at least one of the workload group.

Abstract: The disclosure relates to identifying a user consuming content so that the user can share information on a social network communication service. Aspects of the disclosure relate to detecting reactions to the content and transmitting information to a social networking service associated with the user.

Abstract: An indicia-reading module is capable of integration into the smallest face of thin-profile smart device. The module employs chip-on-board packaging and a customized sensor enclosure to eliminate the stack-up height found in conventional packaging. The module also employs a customized frame to reduce volume by integrating circuit subassembly circuit boards into a unique architecture and by serving as the lenses for the illuminator and the aimer, thereby eliminating the need for any extra lenses or holders.