Abstract: Systems, methods, and non-transitory computer-readable media can be configured to determine a video embedding for a video content item based at least in part on a first machine learning model. A set of music embeddings can be determined for a set of music content items based at least in part on a second machine learning model. The set of music content items can be ranked based at least in part on the video embedding and the set of music embeddings.

Abstract: A force-sense system for providing signals to, or receiving signals from, a device under test (DUT) at a first DUT node. The system can include an interface coupling first and second portions of a first force-sense measurement device, such as a parametric measurement unit. The first and second portions of the first force-sense measurement device can be provided using respective different integrated circuits, such as can comprise different semiconductor dies of different die types. In a first test mode, the interface can be configured to communicate a first DUT force signal from the first portion to the second portion of the first force-sense measurement device, and in a second test mode the interface can be configured to communicate DUT sense information, received from the DUT at the first DUT node, from the second portion to the first portion of the first force-sense measurement device.

Abstract: A force-sense system can provide signals to, or receive signals from, a device under test (DUT) at a first DUT node. The system can include output buffer circuitry configured to provide a DUT signal to the DUT in response to a force control signal at a buffer control node, and controller circuitry configured to provide the force control signal at the buffer control node. The system can include bypass circuitry configured to selectively bypass the controller circuitry and provide an auxiliary control signal at the buffer control node. The auxiliary control signal can be used for system calibration. In an example, an external calibration circuit can provide the auxiliary control signal in response to information received from the DUT.

Abstract: Example implementations relate to a retail point of sale (RPOS) device and cloud service. An example system can include an RPOS agent controller and a cloud service controller communicatively coupled to one another. The cloud service controller can provide a notification of a state of the RPOS device.

Abstract: A force-sense system for providing signals to, or receiving signals from, a device under test (DUT) at a first DUT node. The system can include an interface coupling first and second portions of a first force-sense measurement device, such as a parametric measurement unit. The first and second portions of the first force-sense measurement device can be provided using respective different integrated circuits, such as can comprise different semiconductor dies of different die types. In a first test mode, the interface can be configured to communicate a first DUT force signal from the first portion to the second portion of the first force-sense measurement device, and in a second test mode the interface can be configured to communicate DUT sense information, received from the DUT at the first DUT node, from the second portion to the first portion of the first force-sense measurement device.

Abstract: A force-sense system can provide signals to, or receive signals from, a device under test (DUT) at a first DUT node. The system can include output buffer circuitry configured to provide a DUT signal to the DUT in response to a force control signal at a buffer control node, and controller circuitry configured to provide the force control signal at the buffer control node. The system can include bypass circuitry configured to selectively bypass the controller circuitry and provide an auxiliary control signal at the buffer control node. The auxiliary control signal can be used for system calibration. In an example, an external calibration circuit can provide the auxiliary control signal in response to information received from the DUT.

Abstract: An example of an apparatus including a communication interface to receive raw data from a client device. The raw data is to be collected by the client device. The apparatus further includes a filtering engine to remove portions of the raw data to generate filtered data. The apparatus also includes an analysis engine to process the filtered data to identify an application that reduces an overall performance. The apparatus also includes a memory storage unit to store a database. The database includes the raw data, the filtered data, a client device identifier, and an application identifier associated with the application.

Abstract: A method of monitoring health status of a machine component on a real time basis is provided. The method includes generating a first signal indicative of an operational characteristic of the machine component by at least one sensor module at regular predetermined intervals. The method includes receiving the first signal by at least one Internet of Things (IoT) module. The method includes converting the first signal from analog format to digital format by the at least one IoT module to generate a second signal. The method includes transmitting the second signal wirelessly by the at least one IoT module. The method includes receiving the second signal by a mobile device. The method includes processing the second signal by the mobile device to determine a real time health status of the machine component and displaying the real time health status of the machine component on the mobile device.

Abstract: An example of an apparatus including a memory storage unit to store telemetry data collected from a plurality of sources, wherein each source of the plurality of sources maintains confidentiality. The apparatus further includes an anonymizing engine to remove identifying information from the telemetry data to generate anonymized data. The apparatus also includes a communication interface to receive request from a client device for an upgrade. The request includes a requesting device configuration of the client device. The apparatus also includes a selection engine to select a subset of the anonymized data based on the requesting device configuration. Furthermore, the apparatus includes a comparison engine to analyze the subset of the anonymized data to determine a probability of an upgrade failure at the client device. Additionally, the apparatus includes an upgrade engine to implement the upgrade on the client device based on the probability.

Abstract: Examples described herein include systems and methods for contextually providing automated device enrollment into a management system. A management application on a user device can receive network settings for connecting to a local server. The network settings can be preconfigured by an administrator. The management application can cause the user device to send an enrollment request and a device identifier to the local server. The device identifier can be used to validate the device and provide a security token to the management application. The management application can use the security token to complete enrollment of the user device.

Abstract: A stabilization technique is disclosed that suppresses or inhibits glitching behavior on automated test equipment (ATE) during mode transitions. Adjustable stabilizing circuitry can be coupled to at least one of a force voltage circuit or a force current circuit is forcing voltage or current to a device under test (DUT). The adjustable stabilizing circuitry can be adjustably configurable in response to whether at least one of a current clamp or a voltage clamp is in an active clamping mode. In this manner, unwanted glitching behavior associated with mode changes can be reduced or suppressed.

Abstract: The present subject matter relates to techniques of assigning a mobility factor to the user based on the spatial movement data. In one example, the technique may include four phases for assigning the mobility factors to the users. In a first phase, spatial movement data from a plurality of user devices assigned to a plurality of users may be received. In a second phase, spatial movement behavior for a set of user devices may be assessed using the received spatial movement data of the members of the set using machine learning techniques. In a third phase, user devices may be selected based on the assessed spatial movement behavior using machine learning techniques for reconfiguration. Finally, at a four phase, the selected user devices may be reconfigured.

Abstract: A computer program product for intersection design generation and evaluation method is provided. Intersection geometry, turning movement volume and design constraints are received from a user. All possible intersection designs are generated using iterative movement placement method provided. Intersection designs are filtered through design constraints. Total conflicting volume for each intersection designs are determined using two boundary methods provided. All intersection designs are ranked based on total conflicting volume. All possible intersection geometry, total critical volume and intersections ranks are provided to user as output.

Abstract: A system is provided including a memory in communication with a processor. The memory is to store a value of an attribute. The processor is to obtain from a source data structure the value. The processor is also to store in a further data structure the value in association with a descriptor identifying the source data structure. Moreover, the processor is to store in the further data structure an identifier in association with the value. The identifier is incrementable and unique to the value among values associated with the descriptor. In addition, the processor is to output the further data structure.

Abstract: An example of an apparatus including a network interface to receive enrollment data from a device, wherein the device is identified by a device identifier. The apparatus further includes a memory storage unit connected to the network interface. The memory storage unit receives device history data associated with the device identifier while the device is enrolled. The memory storage unit is also to maintain a database to store the device history data associated with the device identifier. The apparatus also includes a processor to receive a de-enrollment command associated with the device via the network interface. The de-enrollment command causes the processor to modify the device identifier stored in the database.

Abstract: A system is provided including a memory in communication with a processor. The memory may store status data for a module of a device. The processor may generate a module score based on the status data, and generate a device score by applying a transformation to the module score. Moreover, the processor may assign the device to a status group based on the device score. The status group may include one of a healthy group and an unhealthy group. Furthermore, the processor may output the status group associated with an identifier of the device.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine that a condition associated with failure of a cell acquisition procedure is satisfied; output a notification that permits a user of the UE to provide input indicating whether to deactivate one or more radio frequency components of the UE based at least in part on determining that the condition associated with failure of the cell acquisition procedure is satisfied; receive user input that indicates whether to deactivate the one or more radio frequency components of the UE based at least in part on outputting the notification; and selectively deactivate the one or more radio frequency components of the UE based at least in part on the user input. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine that a condition associated with failure of a cell acquisition procedure is satisfied; output a notification that permits a user of the UE to provide input indicating whether to deactivate one or more radio frequency components of the UE based at least in part on determining that the condition associated with failure of the cell acquisition procedure is satisfied; receive user input that indicates whether to deactivate the one or more radio frequency components of the UE based at least in part on outputting the notification; and selectively deactivate the one or more radio frequency components of the UE based at least in part on the user input. Numerous other aspects are provided.

Abstract: Embodiments of determining proppant distribution for a plurality of clusters within a fracture stage of a wellbore are provided herein. The embodiments include performing computational fluid dynamics modeling on at least a portion of a wellbore without any openings and a portion of the wellbore comprising at least one opening along a single azimuth to determine proppant efficiency for the at least one opening along the single azimuth while simulating flow of fluid, proppant, or any combination thereof through the wellbore, an equilibrium proppant concentration profile for the portion of the wellbore without any openings, and an equilibrium velocity profile for the portion of the wellbore without any openings. The embodiment further comprises determining proppant efficiency for at least one other opening of the wellbore at a different azimuth, generating a model that correlates the single azimuth among other items, and using the model to determine the proppant distribution.

Abstract: One embodiment of a wellbore to fracture connectivity apparatus comprises an opening portion representing an opening in a wellbore for receiving fluid, proppant, or any combination thereof to generate at least one fracture in a formation; a fracture portion representing the at least one fracture in the formation; and a coupling portion representing wellbore to fracture connectivity between the opening portion and the fracture portion. The coupling portion couples the opening portion and the fracture portion.