Abstract: A first command is received from a workload, by a host system executing a nested container storage interface (CSI) driver, to create a persistent volume. The nested CSI driver converts the first command used by the workload to create the persistent volume to a second command used by the host system to increase a capacity of a previously generated persistent volume allocated to the workload. The second command is transmitted to an undercluster CSI driver of the host system, wherein the second command causes the undercluster CSI driver to increase the capacity of the previously generated persistent volume.

Abstract: Provided herein are polypeptides that bind to a transferrin receptor, methods of generating such polypeptides, and methods of using the polypeptides to target a composition to a transferrin receptor-expressing cell.

Abstract: A laser crafting apparatus for directing electromagnetic radiation toward a workpiece may include various features. For example, the laser crafting apparatus may include a material support tray that is removably supported within an internal volume of the laser crafting apparatus. Further, the apparatus may include pre-filter disposed in a ventilation pathway between a workspace region of the internal volume and an extractor fan. The laser crafting apparatus may include a laser carriage assembly that houses a laser module and the assembly may include a lens tray detachably coupled to the support structure of the laser carriage assembly. In various embodiments, the laser crafting apparatus includes a lid having a radiation attenuation layer and a fire suppression layer.

Abstract: Implementations set forth herein relate to an automated assistant that can interact with applications that may not have been pre-configured for interfacing with the automated assistant. The automated assistant can identify content of an application interface of the application to determine synonymous terms that a user may speak when commanding the automated assistant to perform certain tasks. Speech processing operations employed by the automated assistant can be biased towards these synonymous terms when the user is accessing an application interface of the application. In some implementations, the synonymous terms can be identified in a responsive language of the automated assistant when the content of the application interface is being rendered in a different language. This can allow the automated assistant to operate as an interface between the user and certain applications that may not be rendering content in a native language of the user.

Abstract: Systems and methods for use in mapping an interior space of a product storage facility include at least one sensor that captures distance measurement data with respect to an interior space of the product storage facility. A computing device obtains a first image representing a 2-dimensional map of the interior space of the product storage facility and processes this image to define a boundary of the interior space of the product storage facility and detect individual structures located within the interior space of the product storage facility. Then, the computing device defines separate department areas, assigns a department label to each of the separate department areas, and converts the 2-dimensional map representing the detected structures and the defined separate department areas and the department labels assigned to the separate department areas into a second image representing a 3-dimensional map of the interior space of the product storage facility.

Abstract: A sample ratio mismatch (SRM) analyzer receives data from an online controlled experiment (OCE) and provides information to help determine a root cause of an SRM. The SRM analyzer may identify one or more segments in the data that include an SRM and may determine whether a triggered scorecard of the OCE includes an SRM. The data may include one or more scorecards. The SRM analyzer may determine whether each scorecard has an SRM. The SRM analyzer may test a difference in proportion of users assigned to treatment between a last scorecard without an SRM and a first scorecard with an SRM. If the difference in proportion is statistically meaningful, the SRM analyzer may determine that the SRM arose after the last scorecard. If the difference in proportions is not statistically meaningful, the SRM analyzer may determine that the SRM existed from a beginning of the OCE.

Abstract: Cable assemblies for providing electrical communication between hinged sections of an electronic device are described. The cable assemblies can include a cover that covers one or more cables that run through a hinge region of the electronic device. The cable and cover can be drawn over a mandrel of the hinge region. The cover and the portions of the mandrel can be visible to a user at the hinge region of the electronic device. The cover can be sufficiently rigid to guide a path of the cable and protect the cable from bending beyond a prescribed angle during rotation of the electronic device at the hinge region. The cover can also be sufficiently rigid to prevent ceasing or folding of the cover and the cable during rotation of the electronic device at the hinge region.

Abstract: Some embodiments provide systems comprising: a machine learning model database; a deblur system configured to receive at least a portion of an image comprising a presumed location label captured by the image capture device, and apply at least a deblurring machine learning framework to generate a deblurred label image comprising the presumed location label; a rectification system configured to apply an machine learning transform algorithm to the deblurred label image to generate a rectified label image; an optical character recognition (OCR) system configured to apply a recognition machine learning model to the rectified label image to estimate text; and a location estimation system configured to estimate a location of the presumed location label as a function of the estimated text of the presumed location label relative to known text on known location labels position at respective different known locations within the product storage facility.

Abstract: An insulator that has a helical protrusion spiraling around the shaft is disclosed. A lip is disposed on the distal end of the helical protrusion, creating regions on the shaft that are shielded from material deposition by the lip. By proper sizing of the threads, the helical protrusion and the lip, the line-of-sight to the interior wall of the shaft can be greatly reduced. This results in longer times before failure. This insulator may be used in an ion implantation system to physically and electrically separate two components.

Abstract: In general, the present disclosure is directed to a hand-held surface cleaning device that includes a relatively compact form-factor to allow users to store the same in a nearby location (e.g., in a drawer, in an associated charging dock, on a table top) for easy access to perform relatively small cleaning tasks that would otherwise require retrieving a full-size vacuum from storage. A hand-held surface cleaning device consistent with aspects of the present disclosure includes a body (or body portion) with a motor, power source and dust cup disposed therein. The body portion also functions as a handgrip to allow the hand-held surface cleaning device to be operated by one hand, for example.

Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.

Abstract: In general, the present disclosure is directed to a hand-held surface cleaning device that includes a relatively compact form-factor to allow users to store the same in a nearby location (e.g., in a drawer, in an associated charging dock, on a table top) for easy access to perform relatively small cleaning tasks that would otherwise require retrieving a full-size vacuum from storage. A hand-held surface cleaning device consistent with aspects of the present disclosure includes a body (or body portion) with a motor, power source and dust cup disposed therein. The body portion also functions as a handgrip to allow the hand-held surface cleaning device to be operated by one hand, for example.

Abstract: Provided herein are polypeptides that bind to a transferrin receptor, methods of generating such polypeptides, and methods of using the polypeptides to target a composition to a transferrin receptor-expressing cell.

Abstract: Disclosed are a method and a device for displaying an image on a liquid crystal panel. The method includes: controlling a timing controller to load a pre-set image from a pre-programmed memory after the liquid crystal panel is powered on, wherein the liquid crystal panel comprises the timing controller, the timing controller is connected with the memory; judging whether the pre-set image is valid; and controlling the liquid crystal panel to display the pre-set image until an external source image is received when the pre-set image is valid. The disclosure solves the technical problem in the related art that a liquid crystal panel cannot display any image before an external system provides an external source image.

Abstract: Defect classification includes acquiring one or more images of a specimen, receiving a manual classification of one or more training defects based on one or more attributes of the one or more training defects, generating an ensemble learning classifier based on the received manual classification and the attributes of the one or more training defects, generating a confidence threshold for each defect type of the one or more training defects based on a received classification purity requirement, acquiring one or more images including one or more test defects, classifying the one or more test defects with the generated ensemble learning classifier, calculating a confidence level for each of the one or more test defects with the generated ensemble learning classifier and reporting one or more test defects having a confidence level below the generated confidence threshold via the user interface device for manual classification.

Abstract: Disclosed are a method and a device for displaying an image on a liquid crystal panel. The method includes: controlling a timing controller to load a pre-set image from a pre-programmed memory after the liquid crystal panel is powered on, wherein the liquid crystal panel comprises the timing controller, the timing controller is connected with the memory; judging whether the pre-set image is valid; and controlling the liquid crystal panel to display the pre-set image until an external source image is received when the pre-set image is valid. The disclosure solves the technical problem in the related art that a liquid crystal panel cannot display any image before an external system provides an external source image.

Abstract: Defect classification includes acquiring one or more images of a specimen, receiving a manual classification of one or more training defects based on one or more attributes of the one or more training defects, generating an ensemble learning classifier based on the received manual classification and the attributes of the one or more training defects, generating a confidence threshold for each defect type of the one or more training defects based on a received classification purity requirement, acquiring one or more images including one or more test defects, classifying the one or more test defects with the generated ensemble learning classifier, calculating a confidence level for each of the one or more test defects with the generated ensemble learning classifier and reporting one or more test defects having a confidence level below the generated confidence threshold via the user interface device for manual classification.

Abstract: Defect classification includes acquiring one or more images of a specimen, receiving a manual classification of one or more training defects based on one or more attributes of the one or more training defects, generating an ensemble learning classifier based on the received manual classification and the attributes of the one or more training defects, generating a confidence threshold for each defect type of the one or more training defects based on a received classification purity requirement, acquiring one or more images including one or more test defects, classifying the one or more test defects with the generated ensemble learning classifier, calculating a confidence level for each of the one or more test defects with the generated ensemble learning classifier and reporting one or more test defects having a confidence level below the generated confidence threshold via the user interface device for manual classification.

Abstract: A radiological image sensor has an electronic substrate and an imaging chip held within a housing, the imaging chip having electronics that create a dead space, with a cable attached to the housing at a cable button connector, the dead space being at a short distal side of the generally rectangular sensor opposite the short mesial side at which the cable exits the cable button connector. The mesial side of the sensor either does not have a dead space created by electronics of the imaging chip or the dead space found on the mesial side of the sensor is less than approximately 4 mm, and, preferably, approximately 2 mm or less. The cable can be a flat cable with a length of approximately one meter or less that can be connected to a round cable.