Abstract: Defects from a hot scan can be saved, such as on persistent storage, random access memory, or a split database. The persistent storage can be patch-based virtual inspector virtual analyzer (VIVA) or local storage. Repeater defect detection jobs can determined and the wafer can be inspected based on the repeater defect detection jobs. Repeater defects can be analyzed and corresponding defect records to the repeater defects can be read from the persistent storage. These results may be returned to the high level defect detection controller.

Abstract: Defects from a hot scan can be saved, such as on persistent storage, random access memory, or a split database. The persistent storage can be patch-based virtual inspector virtual analyzer (VIVA) or local storage. Repeater defect detection jobs can determined and the wafer can be inspected based on the repeater defect detection jobs. Repeater defects can be analyzed and corresponding defect records to the repeater defects can be read from the persistent storage. These results may be returned to the high level defect detection controller.

Abstract: Defects from a hot scan can be saved, such as on persistent storage, random access memory, or a split database. The persistent storage can be patch-based virtual inspector virtual analyzer (VIVA) or local storage. Repeater defect detection jobs can determined and the wafer can be inspected based on the repeater defect detection jobs. Repeater defects can be analyzed and corresponding defect records to the repeater defects can be read from the persistent storage. These results may be returned to the high level defect detection controller.

Abstract: This disclosure relates generally to mobile device power management, and more particularly to methods and systems for mobile device power management. In one embodiment, a mobile computing device is described, that may include a processor, and a non-transitory computer-readable memory, including instructions that, when executed, can cause the processor to determine a power level comprising power level information indicative of a battery power level of the mobile computing device, select a power profile from a plurality of power profiles, based on a data transmission type, transmit power profile information representing the selected power profile to an operatively connected second computing device, where the power profile information can be used by the second computing device to configure the data transmission type, and receive data according to the data transmission type.

Abstract: Defects from a hot scan can be saved, such as on persistent storage, random access memory, or a split database. The persistent storage can be patch-based virtual inspector virtual analyzer (VIVA) or local storage. Repeater defect detection jobs can determined and the wafer can be inspected based on the repeater defect detection jobs. Repeater defects can be analyzed and corresponding defect records to the repeater defects can be read from the persistent storage. These results may be returned to the high level defect detection controller.

Abstract: This disclosure relates generally to mobile device power management, and more particularly to methods and systems for mobile device power management. In one embodiment, a mobile computing device is described, that may include a processor, and a non-transitory computer-readable memory, including instructions that, when executed, can cause the processor to determine a power level comprising power level information indicative of a battery power level of the mobile computing device, select a power profile from a plurality of power profiles, based on a data transmission type, transmit power profile information representing the selected power profile to an operatively connected second computing device, where the power profile information can be used by the second computing device to configure the data transmission type, and receive data according to the data transmission type.

Abstract: Enhanced methods, systems, and techniques for social discovery are provided. Example embodiments provide a Social Discovery System (“SDS”), which enables users to contribute, share, manipulate, and otherwise engage in the creation and management of social knowledge and information. In one example embodiment, the SDS comprises a dot creation API, a dot system component, a dot user component, a permissions engine, a dot retrieval API, and a display engine. These components/modules cooperate to allow users, communities of users, and applications to create, manage, search, share and take collaborative action on social knowledge and the relationships that influence such knowledge and provide APIs to access SDS capabilities, a social search language, display capabilities, etc. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.