Abstract: Methods and systems for deep learning alignment for semiconductor applications are provided. One method includes transforming design information for an alignment target on a specimen to a predicted image of the alignment target by inputting the design information into a deep learning model and aligning the predicted image to an image of the alignment target on the specimen generated by an imaging subsystem. The method also includes determining an offset between the predicted image and the image generated by the imaging subsystem based on results of the aligning and storing the determined offset as an align-to-design offset for use in a process performed on the specimen with the imaging subsystem.

Abstract: Techniques and apparatus for analyzing visual content using a visual transformer are described. An example technique includes generating a first set of tokens based on a visual content item. Each token in the first set of tokens is associated with a regional feature from a different region of a plurality of regions of the visual content item. A second set of tokens is generated based on the visual content item. Each token in the second set of tokens is associated with a local feature from one of the plurality of regions of the visual content item. At least one feature map is generated for the visual content item, based on analyzing the first set of tokens and the second set of tokens separately using a hierarchical vision transformer. At least one vision task is performed based on the at least one feature map.

Abstract: This disclosure is directed to product merchandising systems that and designed to prevent brute force attempts to steal a product on display. The merchandising systems include security features that enhances the strength of the connection between a puck assembly and a base assembly and between the base assembly and a display surface. The merchandising systems are suited for withstanding brute force pulling attacks on the puck assembly and the base assembly.

Abstract: Provided herein is an integrated sampling and testing device, comprising a sampling device that comprises a syringe and specimen collector, and a testing device that comprises a cap, cylindrical container, and adaptor configured for sampling or testing.

Abstract: This disclosure is directed to product merchandising systems that and designed to prevent brute force attempts to steal a product on display. The merchandising systems include security features that enhances the strength of the connection between a puck assembly and a base assembly and between the base assembly and a display surface. The merchandising systems are suited for withstanding brute force pulling attacks on the puck assembly and the base assembly.