Abstract: A processor, a system, a machine readable medium, and a method.

Abstract: An example method comprises receiving, by a secure content system, an email from a sender to a recipient, scanning the contents of the email, evaluating the contents of the email based on a plurality of security rules, storing the sensitive data within a secure storage, generating a replacement email including a security link and not including at least the sensitive data, the security link providing a requester access to the sensitive data providing that a security function is satisfied, sending the replacement email including the security link to the recipient, receiving a request to access the sensitive data, the request being related to the security function challenging the requester using the security function, receiving, from the requester, a response to the security function, determining if the security function is satisfied by the response, and if the security function is satisfied, providing access to the sensitive data to the requester.

Abstract: A disposable absorbent article may include a chassis that includes a topsheet, a backsheet, and an absorbent core disposed between the topsheet and the backsheet; and a leg gasketing system and a waist gasketing element. The leg gasketing system may include an inner cuff and an outer cuff; the inner cuff may include an inner cuff folded edge and an inner cuff material edge and the outer cuff may include an outer cuff material edge such that the web of material is folded outward to form the inner cuff folded edge. When tested by the Blowout Method Test as described herein, the disposable absorbent article has a Blowout Percent Leakage of less than about 9.0%.

Abstract: A switchable liquid crystal grating cell, and methods for manufacturing the above. The switchable liquid crystal grating cell comprises a pair of switchable liquid crystal grating parts, each switchable liquid crystal grating part comprises a substrate; a conductive layer on the substrate; and a photoalignment layer with an alignment pattern above the conductive layer on the substrate, the alignment pattern having first and second types of domains, the first type of domain having a first uniform alignment direction, the second type of domain having a second uniform alignment direction that is reoriented at a predetermined angle to the first uniform alignment direction, the predetermined angle is 85°-95°, and a liquid crystal layer sandwiched between the pair of switchable liquid crystal grating parts, wherein an alignment pattern on a top surface is arranged to be shifted relative to the other alignment pattern on a bottom surface.

Abstract: A machine learning model may be trained to denoise an image. 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. The machine learning model may include a recurrent neural network. The machine learning model may have a modular architecture including one or more building units. The machine learning model may have a multi-branch architecture. The noise may be identified and removed from the image by an iterative process.

Abstract: Multiple predictions about the position of an object during a time period may each indicate the position of the object at a respective time during the time period. Respective validity indications corresponding to the multiple predictions may each indicate an accuracy of the corresponding prediction. Whether a change has occurred in a distribution of the predictions from a first subset of predictions to a second subset of predictions during the time period may be determined. If the change has occurred, a prediction from the first subset of predictions or the second subset of predictions may be selected, based on the validity of the predictions and/or the detection of a motion, as a best indication of the position of the object.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network entity may transmit, to an open distributed unit (O-DU), a first set of capabilities of the network entity, the first set of capabilities including one or more of at least one O-RU capability or at least one endpoint capability. The network entity may receive, from the O-DU, an indication of one or more features configured by the O-DU. The network entity may select a second set of capabilities of the network entity based at least in part on the one or more features configured by the O-DU. The network entity may transmit, to the O-DU, the second set of capabilities of the network entity. Numerous other aspects are described.

Abstract: Described herein are stacked photonic integrated circuit (PIC) assemblies that include multiple layers of waveguides. The waveguides are formed of substantially monocrystalline materials, which cannot be repeatedly deposited. Layers of monocrystalline material are fabricated and repeatedly transferred onto the PIC structure using a layer transfer process, which involves bonding a monocrystalline material using a non-monocrystalline bonding material. Layers of isolation materials are also deposited or layer transferred onto the PIC assembly.

Abstract: A light emitting device (LED) comprises a substrate, an anode layer disposed on the substrate, a hole injection layer disposed on the anode layer, a hole transport layer disposed on the hole injection layer, an emitting layer disposed on the hole transport layer, an electron transport layer disposed on the emitting layer, and a cathode layer disposed on the electron transport layer. At least one of the anode layer and the cathode layer is transparent. The emitting layer comprises a mixture of luminescent nanoparticles and an insulating material.

Abstract: This disclosure provides methods, components, devices and systems for multi-hop support for coordinated medium access. Some aspects more specifically relate to one or more mechanisms according to which an access point (AP) may indicate how many hops a medium access schedule is to be re-announced throughout a wireless network. In some examples, a first AP may select a medium access schedule and may transmit timing information indicative of communication periods associated with the medium access schedule and a value associated with a multi-hop propagation of the timing information. A second AP may receive the timing information and the value and may selectively transmit the timing information in accordance with the value. For example, if the value is indicative of greater than or equal to a threshold hop count value, the second AP may propagate the timing information associated with the communication periods of the first AP.

Abstract: Disclosed are example embodiments of methods and systems for identifying and quantifying manufacturing defects of a manufactured dental prosthesis. Certain embodiments of the system for performing quality control on manufactured dental prostheses includes: a quality control module configured to determine whether the dental prosthesis is a good or a defective product based at least on a differences model generated by comparing a design model and a scanned model of the manufactured dental prosthesis.

Abstract: A method for service aggregation for alternate routing of callback messages includes registering, by an NF and with an NRF, an NF profile of the NF including an aggregated service name representing a plurality of different service types provided by the NF. The method further includes receiving, by the NF, requests from consumer NFs relating to the different service types. The method further includes obtaining, by the NF, and in response to the requests from the consumer NFs, resource information from a producer NF, re-using the resource information to respond to the requests, and communicating the aggregated service name to the producer NF as binding information. The method further includes maintaining, by the NF, a registered status of the aggregated service name with the NRF as long as any of the service types remain available at the NF.

Abstract: The system obtains a hierarchy representing a construction site, where the hierarchy includes a parent node and a child node, and obtains a first computer model of a first construction site including a first multiplicity of virtual objects. Based on the hierarchy representing the construction site, and the first computer model of the first construction site, the system creates a first map between the hierarchy representing the construction site and the first computer model of the first construction site. The system trains an artificial intelligence based on the first map, and then provides to the artificial intelligence a second computer model of a second construction site. The system receives from the artificial intelligence a second map between the hierarchy representing the construction site and the second computer model.

Abstract: The present disclosure relates to a method of generating auxiliary data for controlling a satellite travelling in orbit around Earth, the method comprising: receiving tracking data for the satellite; applying an orbit determination algorithm including: estimating an orbit for the satellite based on the tracking data; and predicting, based on the estimated orbit, future ephemerides data of the satellite; generating auxiliary data comprising predicted future ephemerides data; and transmitting the auxiliary data to the satellite for use in the satellite's attitude and orbit control.

Abstract: An absorbent article having a garment-facing surface, a wearer-facing surface, a topsheet, a backsheet, an absorbent core positioned at least partially intermediate the topsheet and backsheet, and a component comprising a laminate. The laminate includes a first nonwoven substrate, a second nonwoven substrate, and a plurality of elastic strands positioned at least partially intermediate the first and second nonwoven substrate. The first nonwoven substrate includes a first plurality of fibers having a first color and a second plurality of fibers having a second color. The first and second colors are different. The laminate includes a first side and a second side opposite the first side. The first nonwoven substrate forms a portion of the first side and the first side includes a plurality of disruptive coloring clusters. At least a pair of disruptive coloring clusters have a E of greater than two in a relaxed and/or extended state.

Abstract: A heating, ventilation, and air conditioning (HVAC) system, includes an enclosure and a heat exchanger disposed within the enclosure, where the heat exchanger includes a first slab and a second slab, the first slab includes a first configuration, and the second slab includes a second configuration, different from the first configuration. The HVAC system further includes a blower disposed within the enclosure, where the blower may direct an air flow across the heat exchanger, and the blower includes a motor to operate the blower, where the motor is aligned with the first slab, relative to a direction of the air flow through the enclosure. The blower also includes an intake to receive the air flow, where the intake is aligned with the second slab, relative to the direction of the air flow through the enclosure.

Abstract: Methods and apparatus relating to techniques for multi-tile memory management. In an example, a graphics processor includes an interposer, a first chiplet coupled with the interposer, the first chiplet including a graphics processing resource and an interconnect network coupled with the graphics processing resource, cache circuitry coupled with the graphics processing resource via the interconnect network, and a second chiplet coupled with the first chiplet via the interposer, the second chiplet including a memory-side cache and a memory controller coupled with the memory-side cache. The memory controller is configured to enable access to a high-bandwidth memory (HBM) device, the memory-side cache is configured to cache data associated with a memory access performed via the memory controller, and the cache circuitry is logically positioned between the graphics processing resource and a chiplet interface.

Abstract: The system obtains a hierarchy representing a construction site, and multiple queries associated with a node in the hierarchy, where a query among the multiple queries requests an indication of a stage of construction associated with an object at the construction site represented by the node, and where the query among the multiple queries requests an answer from a binary set. The system obtains a recording of the object at the construction site and presents the recording and the multiple queries to a user. The system receives the answer from the binary set from the user, and creates an artificial intelligence training dataset based on the answer associated with the binary set and the recording of the object.

Abstract: An example method of message routing includes: receiving a request to send a message to a specified user of a plurality of users of a communication services platform; providing a user profile of the specified user to a send time optimization model, wherein the user profile characterizes actions of one or more predefined action types that were performed by the specified user in response to receiving previous communications; identifying, based on the output of the send time optimization model, a preferred time range for communicating with the specified user; and causing, within the preferred time range, a message to be sent to the specified user.

Abstract: A method and system for performing a neural level vulnerability detection are disclosed. The method includes receiving a neural network model, performing a bit-level corruption check on the received neural network model indicating a potential presence of an embedded malware in the neural network model, and deploying the neural network model. The method further includes scheduling a periodic anomaly detection on the deployed neural network model, performing the periodic anomaly detection on the deployed neural network model for detecting an anomaly at a scheduled time, and when the anomaly is detected on the neural network model, executing an explainable artificial intelligence based embedded malware exploration to identify an alteration made by the embedded malware at a neuron level of the neural network model.