Abstract: An online concierge system receives location information associated with pickers and actual orders associated with a geographical zone. A model trained to predict a likelihood an actual order associated with the zone will be available for servicing within a timeframe is accessed and applied to forecasted orders. Each picker is matched to an order for servicing by minimizing a value of a function that is based on a difference between a location associated with each picker matched to an actual order and an associated retailer location, a difference between the location associated with each picker matched to a forecasted order and an associated retailer location, and the predicted likelihood. Recommendations for accepting an actual order, moving to a retailer location associated with a forecasted order, or checking back later with the system are generated based on the matches and sent for display to a client device associated with each picker.

Abstract: An apparatus comprises a barrel and a colorimetric assay assembly. The barrel has a sidewall defining a portion of a colorimetric chamber that is in fluid communication with an internal chamber defined by an inner surface. The colorimetric assay assembly, housed in the colorimetric chamber, comprises a sample application pad to receive a fluid sample and a colorimetric detection pad to visualize a presence of free hemoglobin. The sample application pad is formed of a prefiltration layer and a filtration layer. The prefiltration layer comprises a distal surface having a first wetting property and a hydrophilic receiving surface having a second wetting property less than the first wetting property and is configured to receive the fluid sample and convey at least a portion of the fluid sample to the filtration layer. The filtration layer is porous to plasma and the free hemoglobin and not porous to red blood cells.

Abstract: Techniques for performing stable allocation of encoded labels for a traffic policy are provided. “Stable allocation” refers to allocating the encoded labels in a manner that reduces or minimizes the number of label changes caused by an upgrade of the traffic policy, thereby improving the latency of the upgrade process and increasing the likelihood that the upgrade can be completed hitlessly (i.e., without any service disruption or traffic loss).

Abstract: Methods, system, and non-transitory processor-readable storage medium for test correlation selection system are provided herein. An example method includes executing a plurality of test cases on a system. The test correlation selection system analyzes a correlation among the executed test cases by examining a result of the execution of the plurality of test cases to create a test case set correlation degree matrix. The test correlation selection system selects a subset of the plurality of test cases, based on the test case set correlation degree matrix, to execute on a test system to optimize test coverage of the plurality of test cases.

Abstract: Methods are described for awarding non-fungible tokens (NFTs) and shared NFTs to members of a group participating and interacting with content provided on one or more devices. The NFTs may be generated, awarded, and assigned based on the engagement of the individual members of the group and the collective engagement of the group with the content.

Abstract: The disclosure relates to a method of delivering a video frame. One implementation may involve spatially partitioning a video frame into a plurality of blocks, encoding at least one of the plurality of blocks of the video frame, and transmitting the at least one of the plurality of blocks of the video frame.

Abstract: Methods, systems, and apparatuses are described for providing XR experiences to multiple users. A plurality of XR devices might participate in a group XR experience. Physical environment data may be determined for each XR device. Virtual play areas for each of the XR devices may be determined. The different virtual play areas may be fit into different areas of a predefined virtual play area, and/or may be combined to form a combined virtual play area. Each XR device might be provided a different portion of the virtual play area. The XR devices may be sent different virtual map positioning data to provide the group XR experience.

Abstract: Systems, methods, and devices for providing guided collaborative viewing are described herein. In example implementations, a user navigates navigable image content such as immersive content, 360° video, and the like. During the navigation, navigation data is generated that indicates the orientations of the user's view of the navigable image content. Various techniques are employed to obtain variant navigation data from the navigation data generated during the user's navigation. The techniques used to obtain the variant navigation data include techniques to stabilize the orientations of the user's view and smooth transitions between orientations of the user's view. The variant navigation data is provided to another user in order to enable the other user to follow the navigation of the navigable image content. By using the variant navigation data rather than the original navigation data, following the user's navigation may be more comfortable and less disorienting for the other user.

Abstract: Methods and systems are disclosed for enhancing the security of a user device such as a voice command device. A computing device associated with the user device may be configured to receive an indication of a trigger, such as a predetermined word or passcode. In response to receiving the indication of the trigger, the computing device may be configured to determine a verification signal marker and to cause transmission of the verification signal marker. The computing device may receive an audio input comprising a voice command and a detected signal marker and verify the voice command based on a comparison of the detected signal marker and the verification signal marker. In response to the verifying the voice command, the computing device may be configured to cause execution of an operation associated with the voice command such as tuning to a specific channel on a nearby set-top box.

Abstract: A method, a device, and a non-transitory storage medium are described in which lawful intercept service is provided. The lawful intercept service may include transmitting information regarding one or more user plane functions (UPFs) or content of communication (CC) point of intercept (POI) aggregators (CC-PAGs) that have been updated or instantiated on a telecommunications network to an administrative function of a lawful intercept system in the telecommunications network; and automatically provisioning, in response to the informing, each UPF associated with the administrative function regarding identities of available CC-PAGs and selection criteria for determining when to forward intercepted CC to particular ones of the available CC-PAGs.

Abstract: A static classifier including a vessel having an inlet and an outlet and having a vessel interior area. A classifier chamber is positioned in the vessel interior area. The classifier chamber has a plurality of openings extending through a side wall of the classifier chamber and into a classifier interior area of the classifier chamber. The plurality of openings are configured for passing particles entrained in a gas from the vessel interior area into the classifier interior area. One or more flow restrictors are arranged with the classifier chamber. The flow restrictors are configured to establish an optimal flow velocity and direction of the particles entrained in the gas, through the static classifier.

Abstract: An online concierge system receives location information associated with pickers and actual orders associated with a geographical zone. A model trained to predict a likelihood an actual order associated with the zone will be available for servicing within a timeframe is accessed and applied to forecasted orders. Each picker is matched to an order for servicing by minimizing a value of a function that is based on a difference between a location associated with each picker matched to an actual order and an associated retailer location, a difference between the location associated with each picker matched to a forecasted order and an associated retailer location, and the predicted likelihood. Recommendations for accepting an actual order, moving to a retailer location associated with a forecasted order, or checking back later with the system are generated based on the matches and sent for display to a client device associated with each picker.

Abstract: Various embodiments are directed towards techniques for determining materials for computer-generated designs that include generating a query prompt based on an assembly context, transmitting the query prompt to a plurality of large language model (LLM) agents for processing, receiving a plurality of material attribute filters from the plurality of LLM agents, where each LLM generates a different material attribute filter when processing the query prompt, combining the material attribute filters included in the plurality of material attribute filters to produce a material query, querying a material database using the material query to identify at least one potential material to use for a design, evaluating simulation results to determine whether the at least one material is an appropriate material to use for the design.

Abstract: A device may obtain historical order data comprising orders submitted by users to an online system, each order indicating a retailer location and a timestamp. A device may generate a first set of training examples, each training example indicating order demand at a retailer location during one period of time from a first set of periods of time. A device may train the demand forecast prediction model with the first set of training examples. A device may apply the demand forecast prediction model to a second set of periods of time to predict order demand for each period of time in the second set of periods of time. A device may track order demand across each period of time in the second set of periods of time. A device may generate a second set of training examples, each training example indicating a difference between the predicted order demand and the tracked order demand at the retailer location during each period of time from the second set of periods of time.

Abstract: A dynamic turbine classifier includes a vessel that has an inlet, a vessel outlet, a vessel interior area, and a top-plate. A rotor is rotatably positioned in the vessel interior area below the top plate. The rotor has a plurality of spaced apart vanes. A substantially cylindrical sleeve that has a lower distal end, the sleeve extends downwardly, below an upper surface of the top plate and so that the lower distal end is located above a bottom end of the rotor. The sleeve is located proximate to and extends around a radially innermost portion of the vanes. A fastening arrangement fixedly secures the sleeve relative to the top plate. The sleeve is configured to establish a flow velocity of particles entrained by a gas flowing through the turbine classifier.

Abstract: Methods, systems, and apparatuses are described for providing XR experiences to multiple users. A plurality of XR devices might participate in a group XR experience. Physical environment data may be determined for each XR device. Virtual play areas for each of the XR devices may be determined. The different virtual play areas may be fit into different areas of a predefined virtual play area, and/or may be combined to form a combined virtual play area. Each XR device might be provided a different portion of the virtual play area. The XR devices may be sent different virtual map positioning data to provide the group XR experience.

Abstract: A computer implemented method includes importing customer data including previously completed requests for proposals, product documentation, sales materials, security policies and competitor documentation. The customer data is analyzed to form categories. The customer data is processed into chunks of characters to form customer data chunks. The customer data chunks are embedded into context strings. Metadata characterizing customer data lineage is formed. The customer data chunks, the context strings and the metadata are stored in a database.

Abstract: In the embodiments, a novel prefetch service implemented on a prefetch server is provided to execute content (either targeted or selected) fetch requests in parallel with other requests thereby reducing the overall latency of a content delivery system. In some aspects, a method is provided to receive a prefetch request to prefetch a targeted content item to be presented prior to presenting a primary content item on a user device, the prefetch request including prefetch request parameters; generate, a callback URL associated with the prefetch request; transmit, to a primary content server, the callback URL; obtain a targeted content configuration corresponding to the prefetch request parameters; obtain the targeted content item based on the targeted content configuration; receive, a request to provide the targeted content item, the request including the callback URL; and transmit the targeted content item.

Abstract: A system described herein may maintain information associating a plurality of application servers with corresponding client identifiers; receive a request from a User Equipment (“UE”) to access, by a user of the UE, a service provided by an application server, wherein the request includes a particular client identifier associated with a particular application server; authenticate the user based on received credentialing of the user; provide an access token to the particular application server to obtain a service profile of the user, based on authenticating the user and the client identifier; and provide a service profile associated with the user, based on the access token, to the particular application server, causing the particular application server to execute the service for which the UE requested access.

Abstract: Systems, apparatuses, and methods are described for relocalizing a mobile device within an extended reality environment. A subset of a data set, such as a feature pointcloud may be generated based on determining an approximate location of a mobile device. The approximate location may be determined based on data received from one or more sensors in the extended reality environment. Features associated with the approximate location may be included in the subset while other features may be removed. Features extracted from an image taken by the mobile device may be compared with the subset of the data set to relocalize the mobile device.