Abstract: In various examples, an adaptive eye tracking machine learning model engine (“adaptive-model engine”) for an eye tracking system is described. The adaptive-model engine may include an eye tracking or gaze tracking development pipeline (“adaptive-model training pipeline”) that supports collecting data, training, optimizing, and deploying an adaptive eye tracking model that is a customized eye tracking model based on a set of features of an identified deployment environment. The adaptive-model engine supports ensembling the adaptive eye tracking model that may be trained on gaze vector estimation in surround environments and ensemble based on a plurality of eye tracking variant models and a plurality of facial landmark neural network metrics.

Abstract: Methods, systems, and computer storage media storing instructions for managing processing system efficiency. One of the methods includes obtaining data splitting a plurality of general-purpose processing units in a processing system into a high-priority domain and a low-priority domain, wherein the general-purpose processing units in the high-priority domain are assigned to perform one or more tasks comprising one or more high-priority tasks, and the general-purpose processing units in the low-priority domain are assigned to perform one or more low-priority tasks; and during runtime of the processing system, obtaining memory usage measurements that characterize usage of system memory by the high-priority domain and the low-priority domain; and adjusting, based on the memory usage measurements, a configuration of (i) the high-priority domain, (ii) the low-priority domain, or (iii) both to adjust utilization of the system memory by the general-purpose processing units.

Abstract: Intraoral appliances are disclosed that provide electrical stimulation to tissue in a patient's oral cavity in a manner that reduces apnea events during sleep. A representative appliance can induce a current or currents through tissue and/or anatomical structures in a manner that maintains upper airway tone and/or patency.

Abstract: A portable handheld device pairs with a first building control device, to form a first wireless connection. The portable handheld device receives information about a second building control device via the first wireless connection, at least some of the information is received by the first building control device from the second building control device over a building control network before the first building control device provides at least some of the received information to the portable handheld device via the first wireless connection. The portable handheld device sends one or more messages to the first building control device via the first wireless connection, wherein the one or more messages cause the first building control device to communicate with the second building control device via the building control network to initiate a commissioning and/or maintenance process of the second building control device.

Abstract: Embodiments relate to metadata-based generic parsing of an incoming data object to transform it for different purposes, such as conversion into a format more suitable for a specific storage type. The received data object comprises members organized according to a structure, each member containing data. The object's structure and the member's type are defined by the associated metadata. The metadata is referenced by parsing logic to generate a schema representing the structure of the data object in a different format (such as an ER table schema). The schema is then stored. When data is received, the metadata is referenced to parse the corresponding object's data accordingly and for ingestion into the generated schema and storage.

Abstract: A multi-tenant computing system provides services to a number of different tenant organizations. To address the problem of failure of portions of the system, the hardware infrastructure of the system is located at a number of different geographical locations. The various tenants are assigned to one of a set of “cells,” each cell corresponding to one of the geographical locations. Additionally, each cell has another one of the cells assigned to it as a backup cell, and the data of each cell is replicated within its assigned backup cell. At system run time, if a failure is detected within one of the cells, the network redirection is used within the multi-tenant system to reflect that the backup cell for the failing cell is now handling requests for the failing cell. Upon determination that the failing cell has been repaired and is now again correctly functioning, the network redirection is no longer employed, such that the (formerly) failing cell again handles its own requests.

Abstract: An integrated circuit includes logic circuits, a logic analyzer circuit, and a multiplexer circuit configurable to provide a value of a signal selected from one of the logic circuits to the logic analyzer circuit. The logic analyzer circuit is configured to store the value of the signal selected by the multiplexer circuit. A method is provided for capturing signals within an integrated circuit. The method includes providing a first logic signal from a first logic circuit to a multiplexer circuit, providing a second logic signal from a second logic circuit to the multiplexer circuit, selecting one of the first logic signal or the second logic signal as a selected signal using the multiplexer circuit, and storing a value of the selected signal in the logic analyzer circuit in the integrated circuit.

Abstract: The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). Embodiments herein disclose a method for providing dynamic information to an edge enabler client (140) running in a UE (100). The method includes receiving, by an edge enabler server (300), a subscription request for a dynamic information subscription from the edge enabler client (140). Further, the method includes creating, by the edge enabler server (300), the dynamic information subscription to provide the dynamic information to the edge enabler client (140) based on the dynamic information provided in the subscription request. Further, the method includes sending, by the edge enabler server (300), a subscription response to the edge enabler client running in the UE (100) in response to creating the dynamic information subscription.

Abstract: Machine learning systems and methods that determine gaze direction by using face orientation information, such as facial landmarks, to modify eye direction information determined from images of the subject’s eyes. System inputs include eye crops of the eyes of the subject, as well as face orientation information such as facial landmarks of the subject’s face in the input image. Facial orientation information, or facial landmark information, is used to determine a coarse prediction of gaze direction as well as to learn a context vector of features describing subject face pose. The context vector is then used to adaptively re-weight the eye direction features determined from the eye crops. The re-weighted features are then combined with the coarse gaze prediction to determine gaze direction.

Abstract: An additive manufacturing powder particle including a surface and at least one functional group formed on the surface, wherein the at least one functional group increases laser energy absorption of the additive manufacturing powder particle. The additive manufacturing particle is treated with plasma radiation to form hydroxyl functional groups on a surface of the additive manufacturing powder particle, where the hydroxyl functional groups have a molecular vibrational frequency corresponding to a laser wavenumber range of laser energy of an additive manufacturing process, and where the plasma radiation treating the additive manufacturing powder particles depends on the laser energy of the additive manufacturing process.

Abstract: The disclosure relates to an X-ray imaging system for acquiring two-dimensional or three- dimensional images of a subject. A relative position of an X-ray emitting region, as seen in a coordinate system which is stationary relative to an anti-scatter arrangement and/or an X-ray sensitive surface is controlled so that a first and a second image are acquired at different relative positions of the X-ray emitting region relative to the anti-scatter arrangement and/or the X-ray sensitive surface (10). A data processing system of the imaging system generates an output image, based on each of the images. In the output image, artefacts generated by the anti-scatter arrangement, are reduced, suppressed or eliminated compared to the first and the second image.

Abstract: The present disclosure involves systems, software, and computer implemented methods for creating line item information from tabular data. One example method includes receiving event data values at a system. Column headers of columns in the event data values are identified. At least one column header is not included in standard line item terms used by the system. Column values of the columns in the event data values are identified. The identified column headers and the identified column values are processed using one or more models to map each column to a standard line item term used by the system. The processing includes using context determination and content recognition to identify standard line item terms. An event is created in the system, including the creation of line items from the identified column value. Each line item includes standard line item terms mapped to the columns.

Abstract: In various examples, a background of an object may be modified to generate a training image. A segmentation mask may be generated and used to generate an object image that includes image data representing the object. The object image may be integrated into a different background and used for data augmentation in training a neural network. Data augmentation may also be performed using hue adjustment (e.g., of the object image) and/or rendering three-dimensional capture data that corresponds to the object from selected views. Inference scores may be analyzed to select a background for an image to be included in a training dataset. Backgrounds may be selected and training images may be added to a training dataset iteratively during training (e.g., between epochs). Additionally, early or late fusion nay be employed that uses object mask data to improve inferencing performed by a neural network trained using object mask data.

Abstract: Features are disclosed for performing functions in response to user requests. Natural Language Understanding (“NLU”) processing may be performed to generate command data that represents a subject of an utterance. The command data may be sent to an application that causes presentation of first output content in a first modality at a first time in response to receiving the command data, and generates second output content in a second modality different from the first modality, wherein the second output content is associated with the first output content. The second output content may be presented in the second modality at a second time subsequent to the first time.

Abstract: The embodiments herein provide a method for managing short data service (SDS) disposition notifications in a Mission Critical Data (MCData) communication system. The method includes identifying, by a receiving MCData User Equipment (UE), SDS disposition request type Information Element (IE) in a SDS message received from a transmitting MCData UE. Further, the method includes initiating, by the receiving MCData UE, a timer when the disposition request type Information Element (IE) is set as Delivery and Read. Furthermore, the method includes transmitting, by the receiving MCData UE, a consolidated disposition notification to the transmitting MCData UE by stopping the timer when the SDS message is read before expiry of the timer.

Abstract: Deriving and surfacing insights regarding security threats is disclosed. A plurality of features associated with a message is determined. A plurality of facet models is used to analyze the determined features. Based at least in part on the analysis, it is determined that the message poses a security threat. A prioritized set of information is determined to be provided as output that is representative of why the message was determined to pose a security threat. At least a portion of the prioritized set of information is provided as output.

Abstract: Systems and methods for carrier aggregation based on subscriber category information, such as for New Radio Carrier Aggregation in a 5G Network. A call is placed via a calling device and detected at a node of a network. A user equipment capability check is performed, which determines whether the calling device supports carrier aggregation. Subscriber information is received associated with the calling device, including a quality of service (QoS) identifier associated with a subscriber category. Based on the QoS identifier, two or more carriers are selected and assigned. The QoS identifier is associated with a relative priority for assigning cells based on corresponding bandwidth. Call setup is initiated via the two or more carriers.

Abstract: The present disclosure relates to viral vaccine formulations with enhanced stability and methods of use thereof.