Abstract: An example method for encrypting clusters during deployment may include retrieving, from a blueprint, resource information required to deploy a cluster including a host computing system and a virtual cluster manager node to manage the host computing system. The resource information may include host information and disk information required to deploy the virtual cluster manager node, and encryption information associated with a key provider. Based on the host information and the disk information, a clustered datastore may be created on the host computing system. Further, the virtual cluster manager node may be deployed on the clustered datastore. Based on the encryption information associated with the key provider, the virtual cluster manager node and associated disks may be encrypted. Upon encrypting the virtual cluster manager node, a cluster may be created and the host computing system may be added to the cluster.

Abstract: An automated material handling system includes a robot configured to handle one or more items and an operator device. The robot is configured to send an alert to the operator device in response to a fault by the robot in handling at least one of the items. The robot is configured to receive instructions from the operator device. The robot is configured to remedy the fault based on the instructions. A camera configured to capture an image of the fault in handling the items by the robot, and the robot is configured to send the image of the fault to the operator device with the alert.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that recommend editing presets based on editing intent. For instance, in one or more embodiments, the disclosed systems receive, from a client device, a user query corresponding to a digital image to be edited. The disclosed systems extract, from the user query, an editing intent for editing the digital image. Further, the disclosed systems determine an editing preset that corresponds to the editing intent based on an editing state of an edited digital image associated with the editing preset. The disclosed systems generate a recommendation for the editing preset for provision to the client device.

Abstract: In order to relieve the stress on the substrates in a 3D stacked electronic assembly, a substrate frame is divided into a plurality of frame sections that are separated by spaces between the frame sections. These separations allow the substrates to expand/contract in response to temperature variations and other environmental conditions, and generally allow the substrates to move in one or more axial directions. The separations between the substrate portions are design-specific for each substrate design. The placement of IC packages on either side of the substrate is analyzed to identify areas of maximal warpage through physical measurements, physical model simulations, or using a trained neural network. The spaces in the substrate frame are then be placed next to or aligned with the areas of maximal warpage to reduce the stress on the substrate.

Abstract: A user equipment (UE) includes: a first subscriber identity module (SIM) associated with a first service provider subscription and a second SIM associated with a second service provider subscription; the US is configured to operate the first service provider subscription in an active-mode and operating the second service provider subscription in an idle mode; and the UE is further configured to signal a changing quantity of multiple input, multiple output (MIMO) layers available to the first service provider subscription in response to radio frequency (RF) resource sharing with the second service provider subscription for a paging operation of the second service provider subscription.

Abstract: In one embodiment, an apparatus includes determining a context associated with a current use of a display screen and determining, based on the determined context associated with the current use of the display screen, a subsequent pose of the display screen. The method further includes determining, by one or more actuators configured to control an arm coupled to the display screen, a current pose of the display screen to the determined subsequent pose.

Abstract: A near-eye display (NED), comprising a frame comprising an outer lens, a micro-display panel coupled to the frame and comprising a processor configured to process content for display to a user wearing the NED, an augmented reality (AR) lens comprising a main prism lens, wherein the outer lens comprises at least one of a display corrector lens or a see-through corrector lens.

Abstract: Embodiments classify a product to one of a plurality of product classifications. Embodiments receive a description of the product and create a first prompt for a trained large language model (“LLM”), the first prompt including the description of the product and contextual information of the product. In response to the first prompt, embodiments use the trained LLM to generate a hallucinated product classification for the product. Embodiments word embed the hallucinated product classification and the plurality of product classifications and similarity match the embedded hallucinated product classification with one of the embedded plurality of product classifications. The matched one of the embedded plurality of product classifications is determined to be a predicted classification of the product.

Abstract: Certain aspects of the present disclosure provide techniques for applying interleaving pre-compensation for random access communications. A method for wireless communications by an apparatus includes obtaining a configuration for pre-compensating at least one transmission associated with at least one random access communication; sending a plurality of transmissions for random access in accordance with the configuration; in response to sending the plurality of transmissions, receiving one or more transmissions; and communicating with a network entity based at least in part on the one or more transmissions.

Abstract: Techniques for predictive disease identification using simulations improved via machine learning. A method includes applying at least one machine learning model to features extracted from data including animal characteristics data of an animal, wherein outputs of the at least one machine learning model include a plurality of disease predictor values, wherein each disease predictor value corresponds to a respective disease type of a plurality of disease types, wherein each disease type of the plurality of disease types corresponds to a predetermined group of diseases; generating disease contraction statistics based on the outputs of the at least one machine learning model; and determining, based on the disease contraction statistics, at least one disease prediction for the animal.

Abstract: A system includes one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations including receiving building information model (BIM) data associated with a building comprising one or more building assets, identifying one or more BIM objects within the BIM, identifying one or more object relationships between the one or more BIM object, applying a semantic description to each of the one or more BIM objects and the one or more object relationships, and generating a hierarchy structure for the building based on the one of more BIM objects and the one or more object relationships. The one or more BIM objects are associated with the one or more building assets and the hierarchy structure includes the semantic description of each of the one or more BIM objects and the one or more object relationships.

Abstract: A method and system for modeling trust levels of drivers and modifying autonomous systems in real time in response to predicted trust levels. These modifications may be made by one or more systems, including an autonomous driving agent. An end-to-end attention network known as a Selective Windowing Attention Network (SWAN) learns directly from time-series data and assigns attention to critical areas.

Abstract: A method for predicting takeover events across mobilities may monitor responses during takeover events in a car simulation from a plurality of participants. The method may monitor responses during takeover events in a micro-mobility simulation from the plurality of participants. The method may perform statistical analysis to find patterns and deviations between characteristics extracted from the responses during the takeover events in the car simulations and characteristics extracted from responses during the takeover events in the micro-mobility simulations. The method may form takeover predictions on a different type of micro-mobility vehicle using predictive modeling from the characteristics extracted from the responses during the takeover events in the car simulations and characteristics extracted from responses during the takeover events in the micro-mobility simulations. The method may integrate transfer learning in the predictive modeling.

Abstract: Described herein are systems, methods, and software to manage the assignment of hosts to host clusters and the assignment of virtual endpoints to the host clusters. In one implementation, a management service identifies a host to be added to a computing environment and identifies physical resources available on the host. The management service further determines a host cluster for the host from a plurality of host clusters in the computing environment based on the physical resources available on the host and assign the host to the host cluster.

Abstract: A construction laser level including a housing, a laser mount disposed in the housing and at least one laser generator on the laser mount. A fan disposed in the housing and configured to circulate air to improve heat distribution and dissipation.

Abstract: A vial adapter includes a body having a component connection interface, a piercing member having a first end connected to the body and a second end positioned opposite the first end, with the piercing member and the body defining a fluid passageway in fluid communication with the component connection interface, and a vial securing member extending from the body. The vial securing member is configured to secure the body to a vial. The vial securing member is moveable between a first position where the vial securing member defines a first length and a first width and a second position where the vial securing member has a second length and a second width, where the first length is larger than the first width, the first length is larger than the second length, and the second width is larger than the first width.

Abstract: A method for identifying one or more patterns within a screen layout of an electronic device having the negative impact on the user of the electronic device is provided. The method includes detecting at least one of one or more user interface/user experience (UI/UX) elements within the screen layout, and one or more characteristics associated with the at least one of one or more UI/UX elements. The method includes identifying, based on the one or more UI-related parameters, the one or more patterns associated with at least one of the one or more detected UI/UX elements within the screen layout having the negative impact on the user based on the one or more predefined rules. The method includes determining one or more UI elements that have to be placed on top of at least one of the one or more identified negative UI/UX within the screen layout.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a generative channel model (GCM) that outputs channel information pertaining to a digital twin (DT). The UE may receive a configuration of a downlink reference signal. The UE may perform channel estimation using the configuration of the downlink reference signal. The UE may transmit a report, wherein the report includes a precoding indicator, and wherein at least one of computation of the precoding indicator, or a channel estimation algorithm for the channel estimation, uses the GCM. Numerous other aspects are described.

Abstract: An embodiment for controlling a boundary of an AI system based on an environmental context is provided. The embodiment may include receiving data input from one or more sources. The embodiment may also include identifying one or more contextual situations in a surrounding environment. The embodiment may further include identifying one or more input data collection boundaries and a span of control boundary for an AI-enabled device. The embodiment may also include connecting the AI-enabled device to one or more data generation modules within the one or more input data collection boundaries. The embodiment may further include in response to determining none of the one or more data generation modules are unable to connect, identifying an action to be performed by the AI-enabled device. The embodiment may also include executing the action in a first set of one or more machines within the span of control boundary.

Abstract: A computer-implemented dynamic supporting base creation method that interacts with a three-dimensional (3D) printer that prints an object, the method including providing a physical support, via a first robotic gripper, for an object during three-dimensional (3D) printing using a printing head of the 3D printer and transferring the object to a second robotic gripper to provide a physical support at a different location on the object.