Abstract: A computer-implemented system and method include performing neural style transfer augmentations using at least a content image, a first style image, and a second style image. A first augmented image is generated based at least on content of the content image and a first style of the first style image. A second augmented image is generated based at least on the content of the content image and a second style of the second style image. The machine learning system is trained with training data that includes at least the content image, the first augmented image, and the second augmented image. A loss output is computed for the machine learning system. The loss output includes at least a consistency loss that accounts for a predicted label provided by the machine learning system with respect to each of the content image, the first augmented image, and the second augmented image.

Abstract: Aspects of the disclosure provide methods and apparatus for dynamically assigning signal paths to multiple subscriptions in a user equipment (UE) that supports dual subscription dual active (DSDA) communications. The dynamic assignment of signal paths provide dynamic implementation of power classes for uplink transmissions based on communication parameters of the networks associated with the dual subscriptions.

Abstract: In one embodiment, an apparatus includes accessing an image, captured by a first camera, of an object that includes a size-invariant feature and a size-variant feature and determining a size of the size-invariant feature in the image. The method further includes determining, based on the determined size of the size-invariant feature in the image, a distance between the camera and the object and determining a size of the size-variant feature in the image. The method further includes determining, based on the determined distance between the camera and the object and based on the determined size of the size-variant feature in the image, an actual size of the size-variant feature.

Abstract: Certain aspects of the present disclosure provide techniques for enhancing vehicle operations safety using coordinating vehicle platooning or enhancing platooning safety against location spoofing attacks. In one example, a source user equipment (UE) detects a potential spoofing event associated with location information being altered in an unauthorized manner, the source UE may transmit a request to a platoon control system (PCS) to join a vehicle platoon. In another example, a first UE associated with a lead vehicle in an existing platoon may detect a potential spoofing event associated with location information being altered in an unauthorized manner. The lead vehicle may transmit to a second UE of another vehicle in the platoon an indication of the detection and a request to exchange the respective roles in the platoon. The PCS may also monitor the conditions of the first and the second UEs, and arrange for the platoon reorganization.

Abstract: A zirconia ceramic material for use in dental applications is provided comprising an yttria-stabilized zirconia material comprising from 4.5 mol % to 5.1 mol % yttria. Optionally, the zirconia ceramic has a coloring agent that may comprise one or more metals selected from terbium (Tb), chromium (Cr), erbium (Er), and cobalt (Co), and further, may, optionally, comprise alumina, which if present may be in an amount from 0 wt % to 0.25 wt %. The zirconia ceramic materials exhibit both enhanced translucency and a flexural strength of at least 800 MPa when fully sintered.

Abstract: In an approach to security for displayed confidential holographic objects, one or more computer processors receive a request from a user to display a holographic object in association with a device. One or more computer processors identify content to be moved to the holographic object. One or more computer processors determine the content includes confidential information. One or more computer processors request authentication from the user. One or more computer processors receive the authentication from the user. One or more computer processors create a holographic boundary, where the holographic boundary blocks a view of the holographic object from one or more unauthorized users. One or more computer processors display the holographic boundary. One or more computer processors display the holographic object in association with the device.

Abstract: Systems and techniques are described herein for wireless communication. For example, a computing device (e.g., a user equipment or component thereof) can obtain channel estimation of at least one channel for communication with a network device. The computing device can obtain a location parameter associated with the computing device. The computing device can determine, based at least on the channel estimation, one or more large scale parameters (LSPs). The computing device can further generate an LSP vector associated with the one or more LSPs. The computing device can transmit, to the network device, the LSP vector and the location parameter of the computing device.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for generating channel estimates in a spatial environment based on learned material properties for objects in the spatial environment. An example method generally includes receiving, from a ray-tracing model, a plurality of multipath components corresponding to a signal transmitted from a transmitter at a first location in a spatial environment to a receiver at a second location in the environment. For each respective multipath component, energy field characteristics of the respective multipath component are estimated, using a machine learning model, based on interactions with one or more objects in the environment, one or more learned parameters of the machine learning model being associated with one or more properties of the objects. A channel estimate is generated based on the estimated characteristics of each multipath component. One or more actions may be taken based on the generated channel estimate.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for improved wireless channel modeling. A set of simulated channel information for a wireless signal propagating in a simulated physical space is generated, and a set of latent tensors is generated based on the set of simulated channel information using a transformation machine learning model. A channel estimate is generated based on the set of latent tensors using a decoder machine learning model. One or more actions are taken based on the channel estimate.

Abstract: In various examples, systems and methods of the present disclosure correspond to speed limit fusion for automotive systems and applications. Systems and methods are disclosed that fuse speed limit data from both one or more map sources (e.g., nav-maps, HD maps, SD maps, etc.) and a perception system, and that employ rules to help resolve conflicts in speed limits from the perception system and the map(s). For example, if a conflict occurs, the rules may indicate whether to use the speed limit data from the perception data, the speed limit data from the map(s), and/or whether to use another type of speed limit data, such as cached speed limit data.

Abstract: A method for calibration of Transmission Control Protocol (TCP) traffic flow acceleration in a computer network, the method including: initializing a maximum congestion window parameter; determining at least one slow start threshold; monitoring the traffic flow within the network; and updating parameters based on the monitored traffic flows. A system for calibration of TCP traffic flow acceleration in a computer network, the system including: an initialization module configured to initialize a maximum congestion window parameter; an analysis module configured to determine at least one slow start threshold; and a monitoring module configured to monitor the traffic flow within the network; and update parameters based on the monitored traffic flows.

Abstract: Embodiments described herein provide a framework designed to enable personalized image generation capabilities in a pretrained text-to-image generation model. The architecture comprises two replicas of the pretrained text-to-image model—a reference UNet dedicated to extracting visual features from reference images and a base UNet for the actual image generation process. The reference UNet processes reference images to collect the features before each Self-Attention (SA) layer of the reference UNet. The base UNet's SA layers are modified to “Reference Self-Attention” (RSA) layers that allow conditioning on extra features. Using the collected reference features as input, the base UNet equipped with the RSA layers estimates the noise in the input to guide the image generation towards the reference objects.

Abstract: Aspects of the subject disclosure relate to an enclosure for one or more electrical components for a battery pack. The enclosure may be configured to mechanically and electrically couple to an energy volume of the battery pack. The enclosure may include an access panel. The access panel may be formed from a solid insulating structure configured to at least partially cover the one or more electrical components, and a conductive layer on a surface of the solid insulating structure. The enclosure may be a modular enclosure that can be used to provide electrical connection to any of various energy volumes including batteries or battery cells of any of various cell chemistries.

Abstract: An example method of upgrading an application in a software-defined data center (SDDC) includes: deploying, by lifecycle management software executing in the SDDC, a second appliance, a first appliance executing services of the application at a first version, the second appliance having services of the application at a second version, the services in the first appliance being active and the services in the second appliance being inactive; setting, by the lifecycle management software, the first and second appliances as a preemptive pair, where the first appliance is protected and the second appliance is unprotected by fault domain management (FDM) software executing in the SDDC; performing, by the lifecycle management software, a switchover to stop the services of the first appliance and start the services of the second appliance; and setting, by the lifecycle management software, the first appliance as unprotected and the second appliance as protected by the FDM software.

Abstract: A receiver includes a continuous-time equalizer, a decision-feedback equalizer (DFE), data and error sampling logic, and an adaptation engine. The receiver corrects for inter-symbol interference (ISI) associated with the most recent data symbol (first post cursor ISI) by establishing appropriate equalization settings for the continuous-time equalizer based upon a measure of the first-post-cursor ISI.

Abstract: A system for flexible account creation and approval includes a computing server and a communication platform server that operates independently of the computing server. The computing server is configured to receive an account creation request initiated through interfaces of the communication platform server or the computing server. The computing server facilitates approval of the requests, which can include sending request approvers the request for review at interfaces of the communication platform server or the computing server. By enabling account creation and approval through various servers that can access the same information to provide consistent experiences, the system offers users more flexibility in choosing one of the available servers.

Abstract: One or more embodiments of the present disclosure relate to generating a combined execution schedule based at least on inserting, in a timing bubble of a first execution schedule, a second execution schedule. In some embodiments, the second execution schedule may correspond to one or more runnables being executed in a “shadow mode,” where the outputs of the runnables do not directly affect the operations or control of the underlying system. Further, the present disclosure relates to executing, by a plurality of compute engines based at least on the combined execution schedule, a first computing application corresponding to the first execution schedule and a second computing application corresponding to the second execution schedule.

Abstract: An alert detection system that detects anomalies in business activities, and a method of operating the same. The method includes receiving alert configuration data associated with an alert via an alert configuration interface. The method further includes accessing a data value stored at a data source using a data path of the received alert configuration data and analyzing the accessed data value using at least one of an anomaly detection rule or a trained anomaly detection model associated with the alert. The method further includes determining that the alert is triggered based on analyzing the accessed data value and sending an alert communication of the triggered alert using at least one alert communication channel defined in the received alert configuration data.

Abstract: Methods, systems, and devices for wireless communication are described. A user equipment (UE) may receive, from a network entity, first signaling allocating a first set of resources for uplink response training of one or more hardware components of the UE. Further, the UE may perform, via the first set of resources and based on the first signaling, the uplink response training and transmit, to the network entity and via a second set of resources, second signaling in accordance with one or more transmission characteristics that are based on the uplink response training.

Abstract: An aqueous composition comprising lidocaine and at least two weak acids, each having at least one carboxylic acid group with a pKa of 2 to 5, wherein the aqueous composition has a pH of 3.5 to 4.1. The aqueous composition can further comprise phenylephrine HCl.