Abstract: Described are techniques for disintegrating an entity into smaller entities. A graph (“first graph”) for the entity of records to be disintegrated is constructed, where each vertex of the first graph represents a record in the entity of records to be disintegrated. The edges in the first graph connecting records in the entity of records represent matching links between the records, where each edge is associated with a weight corresponding to a similarity score. Furthermore, two or more additional graphs representing two or more sub-entities of the entity of records to be disintegrated are constructed. Such graphs are constructed based on selecting edges with a maximum weight out of the edges connected between each pair of records in the first graph or based on the number of connections each record has with other records in the first graph exceeding a threshold value.

Abstract: In some examples, a machine learning model may be trained to denoise an image. In some examples, the machine learning model may identify noise in an image of a sequence based at least in part, on at least one other image of the sequence. In some examples, the machine learning model may include a recurrent neural network. In some examples, the machine learning model may have a modular architecture including one or more building units. In some examples, the machine learning model may have a multi-branch architecture. In some examples, the noise may be identified and removed from the image by an iterative process.

Abstract: A system for load management in a shared address networking architecture includes a primary point-of-presence (POP) group of servers configured to serve content of a domain and that are each reachable at an address of a first IP address block and a secondary PoP group of servers configured to serve the content of the domain and that are each reachable at an address of a second IP address block. The system further includes a traffic management agent configured to reduce a total volume of incoming requests received by the primary PoP group for a period of time following a return of a first server in the primary PoP group of servers to an online state by selectively directing a first percentage of the incoming requests to the second IP address block instead of the first IP address block.

Abstract: Various embodiments discussed herein are directed to improving existing technologies by causing presentation, to one or more user devices associated with one or more meeting attendees, of one or more indications of one or more content items during or before a meeting based at least in part on one or more natural language utterances associated with the meeting, a context of the meeting, and/or a context associated with one or more meeting attendees. In other words, particular embodiments automatically recommend relevant content items responsive to the real-time natural language utterances in the meeting, and/or other context.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for synchronizing timestamps associated with media files across a variety of capture devices. For example, the disclosed systems receive a media file captured with a user device and determine, from metadata, initial timestamp information for the media file that includes inaccurate or incomplete time zone information. The disclosed systems determine a predicted time zone for the media file by extracting GPS information from the metadata associated with the media file or identifying a peer media file and utilizing a time zone or GPS information associated with the peer media file. The disclosed systems generate a synchronized timestamp for the media file with updated timestamp information based on the predicted time zone.

Abstract: Disclosed herein are example variable flowpath casings for blade tip clearance control. An example casing for a turbine engine includes an annular substrate extending along an axial direction, the annular substrate including a first surface and a second surface that is radially inward relative to the first surface; an actuator structure coupled to the second surface of the annular substrate; and a smart structure cantilevered from the second surface of the annular substrate, the smart structure including: a support structure, a first region of the support structure coupled to the second surface of the annular substrate, a second region of the support structure coupled to the actuator structure; and a radially inward surface defining a variable surface, the support structure to move the variable surface in a radial direction.

Abstract: A system, method and apparatus of image segmentation with semi supervised training of an artificial neural network using coarse labels. For example, a first artificial neural network is trained to perform image segmentation on first images according to fine labels of image segmentation for the first images and to perform image segmentation on second images according to coarse labels of image segmentation for the second images. After the training, the first artificial neural network is used to perform image segmentation of the second images to identify improved labels of image segmentation for the second images. Subsequently, a supervised machine learning technique can be used to train a second artificial neural network to perform image segmentation on the first images according to fine labels and on the second images according to the improved labels.

Abstract: The technology described herein is directed towards product classification across multiple contexts within an enterprise environment, e.g., based on stock keeping unit (SKU-) related data. Relevant SKU attributes and patterns for each context are used to train machine learning-based classification models, which are then used to classify descriptive data of a product, such as one or more modules of a SKU. In one implementation, natural language processing and vectorization of input data are described to provide appropriate input to the trained classifier. Context-specific rules derived from domain knowledge and regulatory guidelines can be integrated to refine the classifications made by the model. The system incorporates integration with enterprise resource planning (ERP) systems, enabling efficient data management and classification within an existing infrastructure.

Abstract: This disclosure provides methods, components, devices, and systems for signaling for dynamic subchannel operation (DSO). Some aspects more specifically relate to indicating a set of subchannels supported for DSO. In some implementations, a wireless station (STA) may transmit a frame indicating subchannels supported for DSO (for example, for a specific link). An access point (AP) may receive the frame and may assign, using a control frame, one or more frequency resources of a subchannel of the set of subchannels to the STA for DSO. The STA may dynamically switch to the subchannel and may communicate via the subchannel while operating in a DSO mode. In some implementations, the STA may transmit capabilities information indicating that the STA supports the DSO mode. Additionally, or alternatively, the STA may dynamically enable or disable the DSO mode using action frames or aggregated-control (A-Control) subfields. The AP may support similar signaling.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an open distributed unit (O-DU) may generate a unique group identifier (ID) for each user group of one or more user groups, each user group including a group of user equipments (UEs) that share time-frequency resources in a slot but occupy different spatial layers. The O-DU may transmit one or more messages to an open radio unit (O-RU), each message associated with a respective user group including a group ID for the respective user group. Numerous other aspects are described.

Abstract: This disclosure provides methods, components, devices and systems for discovery signaling for seamless roaming. Some aspects more specifically relate to indicating or advertising information associated with a single mobility domain (SMD) and information associated with access point (AP) devices that support seamless roaming. In some implementations, an AP device or a multi-link device (MLD) may transmit parameters associated with the SMD MLD to advertise information of the SMD MLD. In some implementations, the AP device or MLD may advertise candidate AP devices, which may support the seamless roaming. A non-MLD device, such as a wireless station (STA), may request additional information for a candidate AP device that supports seamless roaming. The AP device may transmit a response to the request indicating a portion of a profile of the candidate AP device.

Abstract: This disclosure provides methods, components, devices, and systems for reconfiguration signaling for seamless roaming. Some aspects more specifically relate to reconfiguration signaling to facilitate link addition and link deletion operations for roaming, such as seamless roaming. Either a wireless station (STA) or an access point (AP) device may initiate the roaming. In some examples, a first device, such as the STA, a serving AP device, or a target AP device, may transmit a reconfiguration request to a second device, requesting to perform a link addition operation on links of the target AP device or to perform a link deletion operation on links of the serving AP device. The second device, which may be the STA, the serving AP device, or the target AP device, may transmit a reconfiguration response to indicate which links are to be deleted or added.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for coordinated scheduling of service periods (SPs). In some aspects, an access point (AP) may receive timing information indicating an SP associated with an overlapping basic service set (OBSS) and may transmit, to its associated STAs, coordinated timing information indicating the timing of the SP in relation to its timing synchronization function (TSF) timer. In some aspects, the AP may adjust the timing information to account for an offset between its TSF timer and a TSF timer associated with the OBSS. In some other aspects, the AP may synchronize its TSF timer with the TSF timer associated with the OBSS. The AP may further communicate with the STAs based on the coordinated timing information. For example, the AP may schedule communications with the STAs to be orthogonal to communications in the OBSS during the SP.

Abstract: Predicting and counting repetitions of a physical activity includes capturing image data of a body in motion, and determining, based on a first set of frames of the image data, one or more confidence values for one or more motion classes. In response to receiving an additional frame of the image data, the one or more confidence values for the one or more motion classes are revised. In response to determining that the confidence values for at least one of the one or more motion classes satisfies a stability threshold, the at least one of the one or more motion classes is assigned to the body in motion. In response to a determination that the repetition has ended, a repetition count for the at least one of the one or more motion classes is modified.

Abstract: According to various embodiments, the systems and methods disclosed herein can utilize a blocking service to prevent malfunctioning NF instances from being discovered by consumer NF instances in discovery requests within a wireless network (e.g., a 5G network). The blocking service can be integrated into an NRF of the wireless network and can be used to add a malfunctioning NF instance to a block list. Additionally, the blocking service can prevent any malfunctioning NF instance on the block list from being returned to a consumer NF instance during a discovery request. When an NF producer instance is determined to be malfunctioning and subsequently added to the block list, the blocking service can trigger a notification to be sent to an NF consumer instance that is utilizing the affected NF producer instance. Upon receipt of this notification, the NF producer instance can cease its consumption of the malfunctioning producer NF instance.

Abstract: Generating a 3D representation of a subject includes obtaining sensor data of a subject. Media assets comprising the subject can be obtained from a digital asset library. A visual artifact for the subject can be generated from the media assets and used, along with the sensor data, to generate one or more virtual representations of the subject. Visual artifacts include textural and/or geometric characteristics of the visual appearance of the subject and are derived from image data in the media assets.

Abstract: There is provided an apparatus, system, chip-containing product, method, and storage medium. The apparatus comprises memory access circuitry responsive to one or more types of memory access request, to retrieve specified data items from memory. The apparatus is also provided with local storage circuitry configured to store at least some of the retrieved data items. The local storage circuitry is N-way associative, and N is greater than 1. The apparatus is also provided with control circuitry responsive to an indication that an access request signalled to the local storage circuitry relating to an accessed data item corresponds to a predefined type of memory access request, to implement a restrictive access policy in relation to the accessed data item in the local storage circuitry. The restrictive access policy excludes at least one step of accessing an excluded subset of ways of the local storage circuitry.

Abstract: Methods, systems and computer program products are provided for automated runtime configuration for dataflows to automatically select or adapt a runtime environment or resources to a dataflow plan prior to execution. Metadata generated for dataflows indicates dataflow information, such as numbers and types of sources, sinks and operations, and the amount of data being consumed, processed and written. Weighted dataflow plans are created from unweighted dataflow plans based on metadata. Weights that indicate operation complexity or resource consumption are generated for data operations. A runtime environment or resources to execute a dataflow plan is/are selected based on the weighted dataflow and/or a maximum flow. Preferences may be provided to influence weighting and runtime selections.

Abstract: A software-defined wide area network (SD-WAN) environment that leverages network virtualization management deployment is provided. Edge security services managed by the network virtualization management deployment are made available in the SD-WAN environment. Cloud gateways forward SD-WAN traffic to managed service nodes to apply security services. Network traffic is encapsulated with corresponding metadata to ensure that services can be performed according to the desired policy. Point-to-point tunnels are established between cloud gateways and the managed service nodes to transport the metadata to the managed service nodes using an overlay logical network. Virtual network identifiers (VNIs) in the metadata are used by the managed service nodes to identify tenants/policies.