Abstract: A network device is configured to (i) play back a media item indicated by a remote playback queue provided by a cloud-based computing system, (ii) receive an indication that a playback device is available for playback, (iii) display a now playing screen including (a) information identifying the media item, and (b) an icon that indicates that the network device is not in a connected state with any other network device, (iv) receive a first input selecting the icon, (v) in response to the first input, display a list of one or more available network devices including the playback device, (vi) receive a second input selecting the playback device from the list (vii) after receiving the second input, update the list to indicate that the playback device is selected for playback of the remote playback queue, and (viii) transfer playback of the remote playback queue from the network device to the playback device.

Abstract: Persistent storage may contain an input discovery payload that contains entries representing configuration items and relationships therebetween, wherein the configuration items contain attributes defining devices, components, or applications on a network.

Abstract: An example system is configured to: (i) receive data indicating a command to play back, via a playback device of a media playback system, media content; (ii) based on the data indicating the command, detect a first playback condition comprising a first user identity; (iii) identify, from one or more user accounts associated with the playback device, a first user account corresponding to the first user identity; (iv) based at least on (1) the command and (2) one or more properties of the first user account, determine first media content for playback by the playback device; and (v) cause the playback device to play back the first media content.

Abstract: A method includes receiving training data for a machine learning model, the training data comprising a plurality of training examples and a corresponding plurality of labels. The method further includes dividing the training data into a plurality of training batches. For each training batch of the plurality of training batches, the method additionally includes learning a weight for each training example in the training batch that minimizes a sum of weighted losses for the training batch subject to a divergence constraint, where the divergence constraint limits a divergence of the learned weights for the training batch from a reference distribution, where the divergence is determined according to a chosen divergence measure. The method also includes training the machine learning model with each training batch of the plurality of training batches using the learned weight for each training example in the training batch. The method additionally includes providing the trained machine learning model.

Abstract: A cleaning fan on an agricultural harvester generates airflow along an airflow path through a fan duct. A movable flap is mounted relative to the fan duct and controlled to divert the airflow path in a side-to-side transverse direction relative to a front-to-back longitudinal axis of the agricultural harvester.

Abstract: The present disclosure relates to methods and systems for improvements in generating a bill of materials and a schedule.

Abstract: A method and/or system for securing display of confidential content by an electronic device. The method may include displaying content on a screen of the electronic device. The method may include detecting an event to initiate a secure mode in the electronic device. The method may include determining confidential portions and non-confidential portions of the content displayed on the screen of the electronic device based on a view priority score and a confidentiality score, and determining a viewing angle of a user of the electronic device and a viewing distance of the user of the electronic device. The method may include displaying the confidential portions of the content based on the viewing angle of the user of the electronic device and the viewing distance of the user of the electronic device.

Abstract: To reduce power consumption, a user equipment (UE) may trigger a microsleep in a subframe when a physical downlink control channel (PDCCH) does not include a downlink grant. However, because the microsleep depends on the PDCCH not including a downlink grant, the UE cannot trigger the microsleep until after the PDCCH is decoded. Accordingly, in some aspects, a UE may enable an aggressive extra microsleep in which a microsleep duration may be increased by reducing a PDCCH decode time. For example, a UE may use a stale channel estimate and noise estimate from a previous subframe to perform PDCCH demapping when conditions related to a PDCCH block error rate are satisfied. In this way, removing channel estimation and noise estimation from a PDCCH demapping path may reduce the PDCCH decode time, whereby the UE may trigger a microsleep sooner to increase a sleep ratio and thereby increase power savings.

Abstract: Example implementations relate to determining and implementing a feasible resource optimization plan for public cloud consumption. Telemetry data over a period of time is obtained for a current deployment of virtual infrastructure resources within a current data center of a cloud provider that supports an existing service and an application deployed on the virtual infrastructure resources. Information regarding a set of constraints to be imposed on a resource optimization plan is obtained. Indicators of resource consumption relating to the currently deployed virtual infrastructure resources during the period of time are identified by applying a deep learning algorithm to the telemetry data. A resource optimization plan is determined that is feasible within the set of constraints based on a costing model associated with resources of an alternative data center of the cloud provider, the indicators of resource consumption and costs associated with the current deployment.

Abstract: A computerized method is provided for digitally signing a digital document related to a transaction request from a customer. The method includes receiving, by a computing device, data related to the transaction request from the customer via a web-based interface. Receipt of the transaction data initiates a request session. The method also includes recording during the request session a voice signature sample from the customer via the web-based user interface and verifying the customer for the transaction request by comparing the voice signature sample with a stored voice print of the customer. Further, a consolidated record for the transaction request is generated that includes the transaction data and the transaction result. The digital document is populated with the transaction data if the customer is verified, where the digital document is treated as being digitally signed by the customer.

Abstract: The present technology pertains to a system, method, and non-transitory computer-readable medium for evaluating the impact of network changes. The technology can detect a temporal event, wherein the temporal event is associated with a change in a network configuration, implementation, or utilization. The technology defines, based on a nature of the temporal event, a first period prior to the temporal event or a second period posterior to the temporal event. The technology compares network data collected in the first period and network data collected in the second period.

Abstract: A network device is configured to (i) play back a media item indicated by a remote playback queue provided by a cloud-based computing system, (ii) receive an indication that a playback device is available for playback, (iii) display a now playing screen including (a) information identifying the media item, and (b) an icon that indicates that the network device is not in a connected state with any other network device, (iv) receive a first input selecting the icon, (v) in response to the first input, display a list of one or more available network devices including the playback device, (vi) receive a second input selecting the playback device from the list (vii) after receiving the second input, update the list to indicate that the playback device is selected for playback of the remote playback queue, and (viii) transfer playback of the remote playback queue from the network device to the playback device.

Abstract: A device may receive CNF data identifying a CNF to be deployed in a network. The device may perform multiple levels of validation associated with deploying the CNF. The device may determine, based on performing the multiple levels of validation, whether one or more issues are associated with deploying the CNF in the network. The one or more issues may include one or more of: a connectivity issue, a package issue, a network functions virtualization orchestrator (NFVO) issue, or a network functions virtualization infrastructure (NFVI) issue. The device may perform one or more actions based on determining whether the one or more issues are associated with the deploying the CNF in the network.

Abstract: Accordingly the embodiments herein provide a method for adaptive data transfer in a memory system (140), the method comprising: receiving at least one of a data copy request and a data transfer request to perform at least one of a data copy and a data transfer form a first memory subsystem (142) to a second memory subsystem (144). Configuring the memory system (140) in one of a first memory mode and a second memory mode based on a time required to perform at least on of data transfer and data transfer from the first memory subsystem (142) to the second memory subsystem (144) using an enhanced system model and performing at least one of data transferring and data copying from the first memory subsystem (142) to the second memory subsystem (144) in one of the first configured memory mode and the second configured memory mode.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Accordingly, the embodiments herein provides a method and system method for handling a random access procedure in a Non-Terrestrial communication system (300). The method includes obtaining, by a UE (100), a default TA, a RACH resource, and a RACH configuration list. Further, the method includes selecting, by the UE (100), the default TA and the RACH resource. Further, the method includes applying, by the UE (100), the selected default TA to the random access procedure.

Abstract: System and method for performing experiments. For example, the method includes receiving indications of experimental workflows, generating workflow configuration requirements for each experimental workflow, configuring each experimental workflow based upon parameters associated with the workflow configuration requirements, receiving experimental requests for the experimental workflows, determining a schedule for executing the experimental requests, assigning each experimental request one or more remote laboratories for execution based upon the schedule, generating a set of instructions for performing experiments related to each experimental request, determining a plurality of sequence schedules for completing the set of instructions, receiving an indication of a sequence schedule selected from the plurality of sequence schedules, and transmitting commands to execute the set of instructions according to the selected sequence schedule.

Abstract: System and method for processing an experimental request. For example, the method includes generating a set of instructions for performing experiments related to the experimental request, determining a plurality of sequence schedules for completing the set of instructions, receiving an indication of a sequence schedule selected from the plurality of sequence schedules, and transmitting commands to execute the set of instructions according to the selected sequence schedule.

Abstract: Aspects of the disclosure relate to training a machine learning model to continuously sustain security assessment protocols on vendor computing devices. In some embodiments, a machine learning engine may analyze vendor compliance data from previous security assessments, compliance requirements for security gaps that are commonly reported during security assessments, and enterprise security requirements. A security assessment platform may generate and transmit, to a vendor computing device, a plurality of security assessment surveys and instructions for completing a security assessment survey. The machine learning engine may analyze the responses provided on the completed security assessment survey. The security assessment platform may transmit either a notification of compliance or a notification of non-compliance to the enterprise organization.

Abstract: A device may receive CNF data identifying a CNF to be deployed in a network. The device may perform multiple levels of validation associated with deploying the CNF. The device may determine, based on performing the multiple levels of validation, whether one or more issues are associated with deploying the CNF in the network. The one or more issues may include one or more of: a connectivity issue, a package issue, a network functions virtualization orchestrator (NFVO) issue, or a network functions virtualization infrastructure (NFVI) issue. The device may perform one or more actions based on determining whether the one or more issues are associated with the deploying the CNF in the network.

Abstract: Embodiments are described herein that involve a computing device initiating playback of a particular media item on a media playback system that is registered to a particular account of a social media service. The computing device may query the social media service for one or more accounts of the social media service that are registered to respective media playback systems that have played the particular media item on at least a threshold number of occasions and have not yet been connected to the particular account of the social media service within the social network. The computing device may receive the queried one or more accounts of the social media service and cause a graphical interface to display one or more respective selectable indications of the received one or more accounts of the social media service.