Abstract: A system is adapted to automatically report the trustworthiness of an entity. The system includes a processor and a computer readable medium carrying instructions. The instructions include receiving unstructured data pertaining to an entity from public sources, and receiving structured data pertaining to the entity from at least two databases. The instructions also include merging the structured data and the unstructured data into a single document; splitting the single document into chunks; creating embeddings corresponding to the chunks; and storing the embeddings in a vector store. The instructions also include receiving a natural language user query regarding trustworthiness of the entity; converting the query to a query embedding; based on the query embedding and a similarity calculation, fetching a relevant embedding from the vector store; with a large language model (LLM), generating a query response regarding the trustworthiness of the entity; and communicating the query response to the user.

Abstract: Systems and methods for providing an automated quality assurance framework for infrastructure as code (“IaC”) implementations are provided. Pull requests with proposed change to existing IaC source code (“changed code”) are received from user devices, each associated with either a service enablement team member or an applications development team member. Team specific versions of the quality assurance framework are automatically triggered for the changed code which require successful passage through multiple modules, such as in a successive manner, before automatically being merged into the existing IaC source code.

Abstract: A method for performing an ultrasound examination includes obtaining sequences of button pushes performed by a user via a control interface (125) during an exam workflow (S212); differentiating components of the exam workflow based on the button pushing sequences (S213); performing sequence pattern mining of the button pushing sequences based on the differentiated components to extract user specific workflow trends, which include most frequently used button pushing sequences (S214); detecting probe motion of a transducer probe (160) during the ultrasound examination (S215); predicting strings of next button pushes using a predictive model based on at least one previous button push in the user specific workflow trends, where predicting the strings of the next button pushes is triggered by the detected probe motion (S216); and outputting macro buttons corresponding to the predicted strings of next button pushes on the control interface, wherein selection of the macro buttons executes the corresponding predicted

Abstract: The present disclosure provides an example method that includes: (a) obtaining context data descriptive of an environment surrounding an autonomous vehicle, the context data based on map data and perception data; (b) generating, by a proposer and based on the context data: (i) a plurality of candidate trajectories, and (ii) a plurality of actor forecasts for a plurality of actors in the environment; (c) generating, by a ranker and based on the context data, the plurality of candidate trajectories, and the plurality of actor forecasts, a ranking of the plurality of candidate trajectories; and (d) controlling a motion of the autonomous vehicle based on a candidate trajectory selected based on the ranking of the plurality of candidate trajectories, wherein the proposer comprises a first machine-learned model and the ranker comprises a second machine-learned model, and wherein the first machine-learned model and the second machine-learned model use a common backbone architecture.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: A method for managing an Always-on-Display (AoD) of an electronic device, includes: receiving a candidate AoD content to be displayed on the electronic device and a AoD contextual information; determining an AoD preferred pattern of a user of the electronic device based on the candidate AoD content and the AoD contextual information; generating a set of variable AoD content corresponding to the candidate AoD content based on the AoD preferred pattern of the user and the AoD contextual information, wherein AoD content of the set of variable AoD content is generated for changes in the AoD contextual information; and displaying the set of variable AoD content on the electronic device.

Abstract: Systems and methods for generating enhanced user interfaces are disclosed. A set of candidate items responsive to a request for an enhanced interface is generated. The set of candidate items is responsive to a query or an anchor item. A composite candidate score for each candidate item is generated by a pick item scoring engine based on one or more historical interactions. A set of top-k items is selected from the set of candidate items and at least one pick item is selected from the set of top-k items. At least one enhancement interface element is selected for display in conjunction with the at least one pick item and a response to the request for the enhanced interface is transmitted that causes a receiving device to generate a user interface including the at least one pick item displayed in conjunction with the at least one enhancement interface element.

Abstract: A forced upgrade technique for airgapped network management system (NMS) deployments utilizes a package upgrade record. The package upgrade record includes metadata about a target major version of a software package for the NMS deployment, and is generated by an update server that is airgapped from the NMS deployment. A control server of the NMS deployment determines whether the package upgrade record has been provided to the control server. Access to a user interface of the control server is denied in response to the package upgrade record not having been provided to the control server within an upgrade check window, while access to the user interface of the control server is permitted in response to the package upgrade record having been provided to the control server. Additionally, the NMS deployment may be forced to upgrade the software package to the target major.

Abstract: Interactions with virtual systems may be difficult when users inadvertently fail to provide sufficient information to proceed with their requests. Certain types of inputs, such as auditory inputs, may lack sufficient information to properly provide a response to the user. Additional information, such as image data, may enable user gestures or poses to supplement the auditory inputs to enable response generation without requesting additional information from users.

Abstract: A computerized system and method may process and detect anomalies in input data using of machine learning models and techniques. A computerized system comprising one or more processors, a memory, and a communication interface to communicate via a communication network with remote computing devices, may be used for assembling a signal based on event data items; calculating an anomaly score for the signal, which may describe a change or difference between the signal and past signals; generating an alert based on the calculated score; presenting the alert on an output computer display; and allowing or reversing data transfers performed over a communication network between physically separate computer systems based on the anomaly score. Some embodiments of the invention may include performing peer anomaly detection context anomaly detection as two separate and distinct anomaly detection procedures, using separate and distinct machine learning models and algorithms.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may establish a communication connection with a serving cell associated with a first discontinuous reception (DRX) cycle configuration, determine, based at least in part on at least one of a first on duration of a first DRX cycle indicated by the first DRX cycle configuration or a type of traffic of one or more communications received during the first DRX cycle, an autonomous measurement gap associated with a neighboring cell, and perform a measurement of the neighboring cell during the autonomous measurement gap. Numerous other aspects are provided.

Abstract: A steering wheel is disclosed enabling suppressing unnecessary rocking of the airbag module during airbag activation and thereby ensures prescribed deployment performance of the airbag cushion. In detail, the steering wheel is provided with a core metal having a boss part configured so as to be mountable on a steering shaft and an airbag module movably provided with respect to the core metal and having an airbag cushion that can be expanded and deployed. The stopper of the core metal is separated from the stopper contact part of the airbag module in a non-activated state of the airbag, and comes into contact with the stopper contact part due to movement or deformation of the airbag module caused by expansion and deployment of the airbag cushion during activation of the airbag.

Abstract: Interactions with virtual systems may be difficult when users inadvertently fail to provide sufficient information to proceed with their requests. Certain types of inputs, such as auditory inputs, may lack sufficient information to properly provide a response to the user. Additional information, such as image data, may enable user gestures or poses to supplement the auditory inputs to enable response generation without requesting additional information from users.

Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a measurement configuration for a plurality of cells. The UE may perform measurement of each of the plurality of cells in an order, wherein the order is based at least in part on a priority, wherein the priority is based at least in part on an aggregated downlink bandwidth. The UE may transmit a measurement report based at least in part on the order. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may compare an external list of ping pong handovers or redirections that is maintained by an access point, and an internal list of ping pong handovers or redirections that is maintained by the UE. The UE may identify a ping pong detection criterion, for a handover or redirection between a first network node and a second network node, based, at least in part, on the external list, the internal list, both the external list and the internal list, or neither of the external list nor the internal list indicating a previous ping pong handover or redirection between the first network node and the second network node. Numerous other aspects are described.

Abstract: The present invention, includes: a damper unit provided between an airbag module that acts as a damper mass for a steering wheel and the steering wheel to dampen vibrations of the steering wheel, an engagement mechanism provided in the airbag module that maintains the airbag module on the steering wheel in a relatively displaceable manner, and protecting means provided on the airbag module for stopping external forces to the engagement mechanism in a non-engaged state with the steering wheel, that may cause deformation, and thereby protecting the engagement mechanism.

Abstract: A method and an electronic device for managing artifacts of an image includes: receiving an input image and extracting multiple features from the input image. The multiple features include a texture of the input image, a color composition of the input image and edges in the input image. Further, the method includes determining a region of interest (RoI) in the input image including an artifact based on the features and generating an intermediate output image by removing the artifact using multiple generative adversarial networks (GANs). Further, the method includes generating a binary mask using the intermediate output image, the input image, an image illustrating edges in the input image and an image illustrating edges in the intermediate output image and obtaining a final output image by applying the generated binary mask to the input image.

Abstract: System and computer-implemented method for predicting durations for virtual computing instance migrations between computing environments calculates initial estimated migration durations for virtual computing instances of a group based on the total available resources and the number of active virtual computing instances being migrated. Revised estimated migration durations are then calculated for at least one of the virtual computing instances of the group selected for migration based on the total available resources and the number of current active virtual computing instances being migrated when migration of at least one of the virtual computing instances of the group is predicted to complete before other virtual computing instances of the group. The revised migration durations are associated with a duration migration prediction for the group of virtual computing instances from a source computing environment to a destination computer environment.

Abstract: Methods, systems, and devices for wireless communication are described. A user equipment (UE) may generate a scheduling request for transmission to a base station. The UE may pause a transmission of the scheduling request according to an overlap in time between a response window associated with the scheduling request and a scheduled tuneaway period of the UE. The UE may tune away from the base station during the tuneaway period. The UE may transmit the scheduling request after a completion of the tuneaway period according to the pausing.