Abstract: A linear motor conveyor system with actuation and method for actuation including: a track; a moving element configured to move on the track, the moving element including: a main body; a sidecar; and an actuation mechanism, the actuation mechanism including: an actuator; and a sidecar linkage connecting the sidecar to the actuator, wherein the main body and sidecar are independently moveable relative to each other and the sidecar linkage is configured such that movement of the sidecar and/or main body relative to each other provides energy to the actuation mechanism. A method of actuation for a linear motor conveyor system, the method including providing a sidecar with a sidecar linkage connecting the sidecar to a main body of a moving element; and independently moving the sidecar and/or the main body relative to each other such that the sidecar linkage provides energy to an actuator provided to the moving element.

Abstract: Implementations relate generally to devices for measuring an analyte in a host. Implementations may provide reduced sizes for wearable devices including a transcutaneous analyte sensor for analyte measurement.

Abstract: Techniques are disclosed relating to determining a similarity of components of a current webpage to different UI components for use in automatically generating an updated webpage. A computer system may receive information specifying a current webpage, including a particular current UI component and information specifying a plurality of different UI components for an updated webpage. The computer system may identify one or more characteristics of the particular current UI component. The computer system may determine, based on the identified one or more characteristics, a similarity of ones of the plurality of different UI components to the particular current UI component. The computer system may select, based on the determining, a particular different UI component from the plurality of different UI components for use, in the updated webpage, for the particular current UI component. Such techniques may advantageously improve user experience by automatically providing up-to-date user interfaces.

Abstract: Techniques are disclosed for automatically generating new content using a trained 1-to-N generative adversarial network (GAN) model. In disclosed techniques, a computer system receives, from a computing device, a request for newly-generated content, where the request includes current content. The computer system automatically generates, using the trained 1-to-N GAN model, N different versions of new content, where a given version of new content is automatically generated based on the current content and one of N different style codes, where the value of N is at least two. After generating the N different versions of new content, the computer system transmits them to the computing device. The disclosed techniques may advantageously automate a content generation process, thereby saving time and computing resources via execution of the 1-to-N GAN machine learning model.

Abstract: A linear motor conveyor system including: at least one track section comprising: electronic circuitry housed within the track section; and a rotatable segment comprising an end profile that abuts another track section to form a stepped groove sealed by a gasket. A moving element for a linear motor conveyor system including: a body; a first set of bearings attached to the body and angled to abut against a first guide rail of a conveyor system having a protrusion with opposing angled profiles; a second set of bearing attached to the body and designed to abut against a flat profile of a second guide rail of the conveyor system.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining a user-preferred feature type. An embodiment operates by maintaining user-presented features associated with user-presented records, wherein the user-presented features comprise one or more user-presented feature types. After receiving a user-desired feature of the user-presented features, a user-preferred feature type of the user-presented feature types is determined based on the user-presented features and the user-desired feature. Thereafter, a new record and associated feature are to be presented with the new feature being of the user-preferred type.

Abstract: Disclosed herein are system, method and computer readable storage medium for detecting space suitable for overlaying media content onto an image. The system receives a candidate image which may be an image or a video frame. The candidate image is then input into a neural network. The neural network may output coordinates and one or more dimensions representing one or more bounding boxes for inserting media content into the candidate image. The one or more bounding boxes may be transmitted with a request for a media content item to be displayed in a bounding box. In response to the request the media content item may be received, and the candidate image and the media content item overlaid on top of the candidate image within the bounding box may be displayed.

Abstract: A linear motor conveyor system including: at least one track section comprising: electronic circuitry housed within the track section; and a rotatable segment comprising an end profile that abuts another track section to form a stepped groove sealed by a gasket. A moving element for a linear motor conveyor system including: a body; a first set of bearings attached to the body and angled to abut against a first guide rail of a conveyor system having a protrusion with opposing angled profiles; a second set of bearing attached to the body and designed to abut against a flat profile of a second guide rail of the conveyor system. A dry lubricant provided to the body and configured to lubricate a bearing surface of the linear motor conveyor system supporting the first set of bearings.

Abstract: An exemplary method is disclosed that can be used in the diagnosis of hypertrophic cardiomyopathy (HCM) using a biophysical-sensor system configured to non-invasively and concurrently acquire electrocardiographic signals, seismographic signals, photoplethysmographic, and/or phonocardiographic signals, collectively referred to herein as biophysical signals, from at least the thoracic region of a subject. The acquired biophysical signals may be assessed for one or more conditions or indicators of hypertrophic cardiomyopathy and concurrently with other cardiac diseases, conditions, or indicators of either.

Abstract: Implementations relate generally to devices for measuring an analyte in a host. Implementations may provide reduced sizes for wearable devices including a transcutaneous analyte sensor for analyte measurement.

Abstract: Implementations relate generally to devices for measuring an analyte in a host. Implementations may provide reduced sizes for wearable devices including a transcutaneous analyte sensor for analyte measurement.

Abstract: Implementations relate generally to devices for measuring an analyte in a host. Implementations may provide reduced sizes for wearable devices including a transcutaneous analyte sensor for analyte measurement.

Abstract: Techniques are disclosed for automatically converting a layout image to a text-based representation. In the disclosed techniques, a server computer system receives a layout image that includes a plurality of portions representing a plurality of user interface (UI) elements included in a UI design. The server computer system transforms, via executed of a trained residual neural network (ResNet), the layout image to a text-based representation of the layout image that specifies coordinates of bounding regions of the plurality of UI elements included in the UI design, where the text-based representation is usable to generate program code executable to render the UI design. The disclosed techniques may advantageously automate one or more portions of a UI design process and, as a result save time and computing resources via the execution of an image to text-based conversion ResNet machine learning model.

Abstract: Techniques are disclosed for automatically generating new content using a trained 1-to-N generative adversarial network (GAN) model. In disclosed techniques, a computer system receives, from a computing device, a request for newly-generated content, where the request includes current content. The computer system automatically generates, using the trained 1-to-N GAN model, N different versions of new content, where a given version of new content is automatically generated based on the current content and one of N different style codes, where the value of N is at least two. After generating the N different versions of new content, the computer system transmits them to the computing device. The disclosed techniques may advantageously automate a content generation process, thereby saving time and computing resources via execution of the 1-to-N GAN machine learning model.

Abstract: A textual properties model is used to infer values for certain font properties of interest given certain text-related data, such as rendered text images. The model may be used for numerous purposes, such as aiding with document layout, identifying font families that are similar to a given font families, and generating new font families with specific desired properties. In some embodiments, the model is trained from a combination of synthetic data that is labeled with values for the font properties of interest, and partially-labeled data from existing “real-world” documents.

Abstract: A linear motor conveyor system including: at least one track section comprising: electronic circuitry housed within the track section; and a rotatable segment comprising an end profile that abuts another track section to form a stepped groove sealed by a gasket. A moving element for a linear motor conveyor system including: a body; a first set of bearings attached to the body and angled to abut against a first guide rail of a conveyor system having a protrusion with opposing angled profiles; a second set of bearing attached to the body and designed to abut against a flat profile of a second guide rail of the conveyor system.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining a user-preferred feature type. An embodiment operates by maintaining user-presented features associated with user-presented records, wherein the user-presented features comprise one or more user-presented feature types. After receiving a user-desired feature of the user-presented features, a user-preferred feature type of the user-presented feature types is determined based on the user-presented features and the user-desired feature. Thereafter, a new record and associated feature are to be presented with the new feature being of the user-preferred type.

Abstract: Techniques are disclosed relating to generating a user interface (UI) migration plan, including intermediate UIs, for migrating from a current UI to a new UI. A computer system may receive information specifying a current UI and a new UI, and identify one or more differences between the current and the new UIs. Based on the differences, the computer system may generate information specifying one or more candidate intermediate UIs. The computer system may score the candidate intermediate UIs relative to a specified set of design criteria. The computer system may determine a UI migration plan that specifies a set of the one or more candidate intermediate UIs that are displayable in order to migrate from the current UI to the new UI, where the set of one or more intermediate UIs is selected based on the scoring. Use of the UI migration plan may advantageously reduce user interaction issues.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining the minimum set of user interface (UI) elements for a task. One embodiment operates by transmitting UI elements associated with an application to a first computing device operated by a first user and a second computing device operated by a second user. Further, the embodiment includes obtaining data structures corresponding to a first task and a second task and then grouping, using a machine learning model, the data structures into a first cluster corresponding to the first task and a second cluster corresponding to the second task. Further still, the embodiment also includes determining a minimum set of UI elements required for the first task based on the first cluster.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining a user-preferred attribute type. An embodiment operates by maintaining user-presented attributes associated with user-presented records, wherein the user-presented attributes comprise one or more user-presented attribute types. After receiving a user-desired attribute of the user-presented attributes, a user-preferred attribute type of the user-presented attribute types is determined based on the user-presented attributes and the user-desired attribute. Thereafter, a new record and associated attribute are to be presented with the new attribute being of the user-preferred type.