Abstract: An age verification method performed at a mobile device comprises: receiving, from a point-of-sale terminal, a request for a payment credential, the request comprising a data element indicative of age requirement data; verifying, using at least one sensor, an identity of a user of the mobile device; responsive to said verifying, initiating, by a digital wallet application executing on the mobile device, an age verification request to a digital identity application, the age verification request comprising the age requirement data; generating a response message that comprises a response from the digital identity application to the age verification request; and transmitting, to the point-of-sale terminal, the response message and the payment credential for initiation of a transaction authorization request.

Abstract: A device may include a metal contact between a first isolation region and a second isolation region on a first surface of an epitaxial layer. The device may include a first sidewall and a second sidewall on a second surface of the epitaxial layer distal to the first isolation region and the second isolation region. The device may include a wavelength converting layer on the epitaxial layer between the first sidewall and the second sidewall.

Abstract: Described are light emitting diode (LED) devices comprising a plurality of mesas defining pixels, each of the plurality of mesas comprising semiconductor layers, an N-contact material in a space between each of the plurality of mesas, a dielectric material which insulates sidewalls of the P-type layer and the active region from the metal. Each of the mesas is spaced so that there is a pixel pitch in a range of from 10 ?m to 100 ?m and dark space gap between adjacent edges of p-contact layer. The dark space gap may be less than 20% of the pixel pitch. The dark space gap may be in a range of from 4 ?m to 10 ?m.

Abstract: Techniques for network usage analysis and forecasting are disclosed. In one embodiment, a computerized method is disclosed comprising obtaining network access data identifying network access of a plurality of users, obtaining user data for the plurality of users, analyzing the obtained network access data, the analyzing comprising determining a network usage pattern for each user, determining a plurality of feature sets corresponding to the plurality of users, a feature set determined for a respective user comprising network usage features and user features determined using the user data obtained for the respective user, determining a number of clusters formed using the plurality of feature sets, each cluster grouping a number of users, of the plurality of users, having similar feature sets, and communicating information about at least one cluster in response to a network analysis request.

Abstract: A user device may provide, to a network associated with a base station, user device location data identifying a latitude, a longitude, and a heading of the user device, and may receive base station location data identifying a latitude, a longitude, and signal coverage of the base station. The user device may display a first user interface that includes a user device indication, a base station indication, and a selection option, and may receive a selection of the selection option. The user device may retrieve camera view data and sensor data associated with the user device and may display, based on the camera view data and the sensor data, a second user interface that includes the first user interface overlaid on a camera view of the user device, an augmented reality-based signal strength directional indicator, and an augmented reality-based base station location representation associated with the base station.

Abstract: Techniques for network usage analysis and forecasting are disclosed. In one embodiment, a computerized method is disclosed comprising obtaining network access data identifying network access of a plurality of users, obtaining user data for the plurality of users, analyzing the obtained network access data, the analyzing comprising determining a network usage pattern for each user, determining a plurality of feature sets corresponding to the plurality of users, a feature set determined for a respective user comprising network usage features and user features determined using the user data obtained for the respective user, determining a number of clusters formed using the plurality of feature sets, each cluster grouping a number of users, of the plurality of users, having similar feature sets, and communicating information about at least one cluster in response to a network analysis request.

Abstract: Client machines, whether consumer or Enterprise, are notified of software updates using a decentralized, peer-to-peer blockchain infrastructure. Any software update is written to a block of data and distributed to blockchain nodes associated with a blockchain network. A smart contract, executed by any of the blockchain nodes, causes the corresponding blockchain node to notify specific client machines of the block of data recording the software update. The client machines contact the blockchain node and request the software update written to the block of data. The blockchain node retrieves and sends the software update written to the block of data. When the client machines receive the software update, the client machines apply or install the software update to improve their computer functioning.

Abstract: In some examples, a system arranges data in a plurality of nodes in a tree structure, where a given node of the plurality of nodes is associated with a probabilistic data structure that provides a probabilistic indication of whether data is present in the given node. The system determines, for reads of the given node, a false positive measure of false positives indicated by the probabilistic data structure, and prioritizes a compaction of the given node based on the determined false positive measure.

Abstract: Described are light emitting diode (LED) devices comprising a plurality of mesas defining pixels, each of the mesas comprising semiconductor layers, an N-contact material in a space between each of the plurality of mesas, a dielectric material which insulates sidewalls of the P-type layer and the active region from the metal. A multilayer composite film is on the P-type layer, the multilayer composite film comprising: a current spreading layer on the P-type layer, the current spreading layer having a first portion and a second portion; a dielectric layer on the second portion of the current spreading layer; a via opening defined by sidewalls in the dielectric layer and the first portion of the current spreading layer; and a P-contact layer in the via opening on the first portion of the current spreading layer, the sidewalls in the dielectric layer, and on at least a portion of the dielectric layer.

Abstract: A configuration architecture is described. The configuration architecture may be in communication with a task management application to efficiently generate customized programs.

Abstract: A service qualification platform may receive, from a user device, a service request to qualify a unit of a multi-unit building to receive a service. The service qualification platform may obtain a service coverage mapping associated with the multi-unit building and may provide, to the user device and via a user interface that is associated with a geographic information system, a unit location request for an indication of a location of the unit within the multi-unit building. The service qualification platform may receive unit location information that is associated with the indication and may determine a service qualification metric based on the service coverage mapping and the unit location information, wherein the service qualification metric is associated with a capability of receiving the service within the unit. The service qualification platform may perform an action associated with the service qualification metric.

Abstract: Described are light emitting diode (LED) devices comprising a plurality of mesas defining pixels, each of the mesas comprising semiconductor layers, an N-contact material in a space between each of the plurality of mesas, a dielectric material which insulates sidewalls of the P-type layer and the active region from the metal. A current spreading layer is on the P-type layer, the current spreading layer having a first portion and a second portion; a hard mask layer above the second portion of the current spreading layer, the hard mask layer comprising sidewalls defining a hard mask opening; a liner layer conformally-deposited in the hard mask opening above the first portion of the current spreading layer and on the sidewalls of the hard mask layer; a P-metal material plug on the liner layer; a passivation layer on the hard mask layer; and an under bump metallization layer on the passivation layer.

Abstract: An illustrative extended reality (XR) presentation device detects, during an XR experience presented to a user of the XR presentation device, a selection by the user of a virtual anchor object disposed at a particular location with respect to a 3D scene within which the XR experience is presented. The XR presentation device identifies, based on anchor data associated with the virtual anchor object, a predesignated data payload that is stored by a payload server system. The payload server system is separate from the XR presentation device and stores, together with the predesignated data payload, target metadata indicating a target device to which the predesignated data payload is to be provided. The XR presentation device directs the payload server system to provide the predesignated data payload to the target device. Corresponding methods and systems are also disclosed.

Abstract: The technology disclosed in this patent document for optical devices for modulating light using nonlinear optical materials exhibiting electro-optical effects. Suitable nonlinear optical materials can be formed over a silicon-based semiconductor substrate via a silicon processing compatible process. In one application, such a device can be implemented for steering light based on a unique two-dimensional array of phased optical modulators using integrated photonic chip fabrication technologies to provide high performance and small footprint device packaging. The phased optical modulators can be phase shifting elements, each of which can be configured as a vertical-cavity surface-emitting phase shifter (VCSEP) to provide effective phase changes via both the control of the optical refractive index of the nonlinear optical material and the metal-dielectric surface plasmon effect.

Abstract: A device may include a metal contact between a first isolation region and a second isolation region on a first surface of an epitaxial layer. The device may include a first sidewall and a second sidewall on a second surface of the epitaxial layer distal to the first isolation region and the second isolation region. The device may include a wavelength converting layer on the epitaxial layer between the first sidewall and the second sidewall.

Abstract: In some examples, a system arranges data in a plurality of nodes in a tree structure, where a given node of the plurality of nodes is associated with a probabilistic data structure that provides a probabilistic indication of whether data is present in the given node. The system determines, for reads of the given node, a false positive measure of false positives indicated by the probabilistic data structure, and prioritizes a compaction of the given node based on the determined false positive measure.

Abstract: A device may receive, from a customer platform, customer event data identifying events occurring between customers and an entity, and may receive, from the customer platform, customer action data generated by machine learning models and identifying customer actions to be taken by the customer platform in response to the occurrence of the events. The device may receive, from the customer platform, customer results data identifying results of the customer actions taken by the customer platform, and may calculate current key performance indicators based on the customer event data, the customer action data, and the customer results data. The device may retrain one or more of the machine learning models based on the current key performance indicators to generate one or more retrained machine learning models, and may provide the one or more retrained machine learning models to the customer platform.

Abstract: A computer implemented method may include: storing key-value pairs in an index in persistent storage, where indirect nodes of the index include pointers, where each pointer identifies an index portion and includes a generation identifier for the identified index portion, where the index comprises a plurality of snapshots associated with a plurality of generations; receiving a request to read data of a particular snapshot of the index, wherein the particular snapshot is associated with a particular generation of the plurality of generations; in response to the request, performing a traversal starting from a particular root node associated with the particular generation; and providing the requested data based on the traversal.

Abstract: A user device may provide, to a network associated with a base station, user device location data identifying a latitude, a longitude, and a heading of the user device, and may receive base station location data identifying a latitude, a longitude, and signal coverage of the base station. The user device may display a first user interface that includes a user device indication, a base station indication, and a selection option, and may receive a selection of the selection option. The user device may retrieve camera view data and sensor data associated with the user device and may display, based on the camera view data and the sensor data, a second user interface that includes the first user interface overlaid on a camera view of the user device, an augmented reality-based signal strength directional indicator, and an augmented reality-based base station location representation associated with the base station.

Abstract: One or more computing devices, systems, and/or methods for generating floor layouts associated with buildings and/or determining locations of units are provided. In an example, a machine learning model may be trained using a plurality of sets of building information associated with a plurality of buildings to generate a trained machine learning model. A building profile associated with a building may be generated. The building profile may be indicative of geographical boundaries associated with the building and/or one or more locations associated with one or more units in the building. A unit number configuration associated with the building may be determined, using the trained machine learning model, based upon the building profile. A floor layout associated with the building may be generated based upon the unit number configuration. The floor layout may be indicative of a first arrangement of first units in the building and/or first unit numbers associated with the first units.