Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for managing tasks in a content management system. For example, the content management system can collect, aggregate, and/or store task data assigned to a user from across projects and/or content items. The user can select to view tasks for a particular project and/or from across all projects. The content management system can generate a single graphical user interface for presenting the task data associated with the user. The content management system can generate a graphical user interface the allows the user to move tasks from one task status graphical element (e.g., task status container) to another task status graphical element to change the status of a task associated with the user. Thus, the user can quickly and easily view the tasks assigned to the user and update the status of tasks in an easy to use graphical user interface.

Abstract: Systems, methods, apparatuses, and computer program products for packet data network gateway (PGW) selection for network slicing are provided.

Abstract: The current disclosure relates to a system and method for assessing a candidate for identifying a successful remote employee based on a textual interaction between a recruiter and the candidate over a mobile messaging platform. The method includes a step of receiving, by a computation machine, text strings from computing devices of the candidate and the recruiter. The computation machine includes processors and an objective function module. The method includes a step of processing one or more text strings for determining a probability that the candidate matches the query string using the computation machine. The method includes a step of generating, by the objective function module, an output score by determining a probability that the text strings match an employment requirement data stored in a memory. The objective function module identifies the successful remote employee based on the output score.

Abstract: Examples relate to devices, systems, and methods for fluid collection such as urine. The fluid collection device is shaped to complement the female anatomy or male anatomy near the urethra. The fluid impermeable coating of the fluid collection device is sized and shaped to provide a soft, smooth, and compliant outer surface for the fluid collection device. The fluid collection device may be coupled to a vacuum source via one or more sections of conduit.

Abstract: This disclosure provides methods for preparing a sequencing library including the steps of providing a template nucleic acid sequence, dNTPs, dUTP, a primer, a polymerase, a dUTP excising enzyme, and a plurality of beads including oligonucleotide adapter sequence segments; amplifying the template nucleic acid with the polymerase, dNTPs, dUTP and random hexamer to provide a complementary nucleic acid sequence including occasional dUTPs; and excising the incorporated dUTPs with the dUTP excising enzyme to provide nicks in the complementary nucleic acid sequence to provide a sequencing library.

Abstract: A quantum computing system includes a quantum processor having a plurality of qubits, a classical memory, and a classical processor.

Abstract: An ophthalmic imaging system has a specialized graphical user interface GUI to convey information for manually adjusting control inputs to bring an eye into alignment with the device. The GUI provides additional information such as laterality, visual alignment overlay aids, and live video feeds. The system further applies automatic gain control to fundus images, synchronizes itself with other ophthalmic systems on a computer network, and provides an optimized image load and display system.

Abstract: A system and method for identifying an entity from a message exchange thread and generating a suggestion that is directed to the entity, such as a suggestion for a user to take an action on the entity. A suggestion application receives at least one electronic message from a message exchange thread, identifies an entity that can be actionable from the electronic message, determines contextual indicators of the entity, determines whether the entity is actionable based on the contextual indicators, and responsive to the entity being actionable, provides a suggestion that is directed to the entity to a participant(s) of the message exchange thread.

Abstract: Provided is a process, including: obtaining a first training dataset, training a first machine-learning model on the first training dataset, obtaining a set of candidate question sequences, forming virtual subject-entity records, forming a second training dataset, training a second machine-learning model, and storing the adjusted parameters of the second machine-learning model in memory.

Abstract: A computing device may receive motion data generated by one or more motion sensors that correspond to movement sensed by the one or more motion sensors. The computing device may perform, using one or more neural networks trained with differential privacy, on-device activity recognition to recognize a physical activity that corresponds to the motion data. The computing device may, in response to recognizing the physical activity that corresponds to the motion data, perform an operation associated with the physical activity.

Abstract: A method of selectively transferring micro devices from a donor substrate to contact pads on a receiver substrate. The method may comprise: providing a donor substrate comprising the plurality of micro devices, transferring the plurality of micro devices to an intermediate substrate, aligning a selected set of micro devices on the intermediate substrate proximal to the system substrate, providing a photo-sensitive layer between the selected set of micro devices and the system receiver; turning on the selected micro devices, curing the photo-sensitive layer in between the selected set of micro devices and the system substrate by light emitted by the selected micro devices; and bonding the selected set of micro devices to the corresponding contact pads on the system substrate.

Abstract: A computing device including a processor configured to receive source code including a plurality of source code modules. The processor may generate executable code from the source code and assign two or more reload indicators to two or more executable code modules. The processor may execute the executable code. During execution of the executable code, the processor may receive a source code update and generate an executable code update from the source code and the source code update. The processor may apply the executable code update to the executable code to generate updated executable code. The processor may generate a reload ordering of two or more reload operations corresponding to the reload indicators. As specified by the reload ordering, the processor may perform the two or more reload operations at the two or more respective executable code modules. The processor may execute the updated executable code.

Abstract: A data aggregation system for aggregation of data from at least two data sources includes: a data aggregation unit configured to determine a data aggregation action to be executed by the system, in response to a message received by at least one data source device, each message comprising data; a consistency checking unit configured to check the consistency of each message received from a data source device using one or more consistency rules and determine an action to be executed by said data aggregation unit depending on the consistency checking; and an accuracy metric determination unit configured to determine an accuracy metric for the executed action based on feedback values received from a set of at least one user device, said data aggregation unit comprising a rule updating unit configured to update said consistency rules based on the accuracy metrics determined for the executed actions.

Abstract: Embodiments of the present disclosure include systems and methods for identifying people in an image that contains more than one images of people. In embodiments, a query feature representation that represents features is extracted from each image of a person. In embodiments, each query feature representation is compared to image feature representations in a database and a set of candidate representations is selected among the image feature representations. Then, a set of user accounts that is associated with the set of candidate representations is selected. The strengths of connection in a network between user accounts in a set of candidate user accounts corresponding to an image and user accounts in a different set of candidate user accounts corresponding to a different image may be determined. In embodiments, user accounts that has the highest strength of connection are selected and used to identify the persons corresponding to the images.

Abstract: A method comprises determining instance bounds associated with each of one or more structural elements in a document using a machine learning model. The method further comprises determining an error in the instance bounds associated with a particular one of the one or more structural elements. The method further comprises correcting the error in the instance bounds associated with the particular structural element using document content associated with the particular structural element, thereby generating corrected instance bounds associated with the particular structural element. The method further comprises generating a structural map of the document based on the corrected instance bounds.

Abstract: Techniques for selective sharing of device location are described. An electronic user device may reference a location index generated by a service provider as part of deciding whether to share its device location. The location index may ensure that the electronic user device shares relevant location information, while refraining from sharing location information of a sensitive or private nature.

Abstract: Implementations offload visual frames from a client device to a gateway or edge device for processing. The client device can receive streaming visual frames and a request to process the visual frames using a data service. The client device can offload visual frames to a gateway or edge device preloaded with a resource that corresponds to the requested data service. After the gateway or edge device processes the visual frames using the resource, the processed visual frames can be returned to the client device. In implementations, the offload device and client device are situated in a network such that a latency for the offload communications supports real-time video display. A gateway device manager can locate a gateway connected to the client device, and resources can be deployed (or the gateway can be prepopulated) so that the device can perform gateway services and edge processing services for the client device.

Abstract: Implementations selectively offload visual frames from a client device to an edge system for processing. The client device can receive streaming visual frames and a request to process the visual frames using a data service. The client device can offload visual frames to an edge system preloaded with a workload resource that corresponds to the requested data service. After the edge system processes the offloaded visual frames using the workload resource, the edge system can return the processed visual frame to the client device. In some implementations, the edge system and client device are situated in a network such that a latency for the offload communications support real-time video display. A cloud system can maintain a registry of edge systems and provide client devices with information about nearby edge systems. The cloud system can also preload the edge systems with workload resources that correspond to data services.

Abstract: Implementations offload visual frames from a client device to a gateway or edge device for processing. The client device can receive streaming visual frames and a request to process the visual frames using a data service. The client device can offload visual frames to a gateway or edge device preloaded with a resource that corresponds to the requested data service. After the gateway or edge device processes the visual frames using the resource, the processed visual frames can be returned to the client device. In implementations, the offload device and client device are situated in a network such that a latency for the offload communications supports real-time video display. A gateway device manager can locate a gateway connected to the client device, and resources can be deployed (or the gateway can be prepopulated) so that the device can perform gateway services and edge processing services for the client device.

Abstract: Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.