Abstract: Applications can be automatically grouped in a secure workspace environment. An application organizer service can be deployed on a user computing device to intelligently group applications within secure workspaces based on resource requirements, peripheral usage, threat level and/or data sharing characteristics of the applications. The application organizer service may determine these characteristics in a variety of ways including through the monitoring of the applications as they execute inside the secure workspaces.

Abstract: Techniques for time-bound hyperparameter tuning are disclosed. The techniques enable the determination of optimized hyperparameters for a machine learning (ML) model given a specified time bound using a three-stage approach. A series of trials are executed, during each of which the ML model is trained using a distinct set of hyperparameters. In the first stage, a small number of trials are executed to initialize the algorithm. In the second and third stages, a certain number of trials are executed in each stage. The number of trials to run in each stage are determined using one or more computer-implemented techniques. The computer-implemented techniques can also be used to narrow the hyperparameter search space and the feature space. Following the third stage, a set of optimized hyperparameters is adopted based a predefined optimization criterion like minimization of an error function.

Abstract: A summary generation system is disclosed that is configured to generate a summary for content to be summarized by identifying relevant chunks of information from the content to be summarized using a large language model (LLM) and a set of questions. The set of questions enable the system to identify and retrieve relevant chunks of information. Each question undergoes a translation or transformation process to generate multiple question variants for each question. The multiple question variants are used by the system to optimize the search to obtain relevant chunks of information. Then, using the multiple question variants and an LLM, the system extracts information (i.e., answers) from the relevant chunks of information. The summary generation system then collates the answers to create an accurate and comprehensive summary for the content to be summarized.

Abstract: A summary generation and summary selection system is disclosed that is capable of automatically evaluating multiple summaries generated for content and selecting a single summary that is deemed to be the “best” among the multiple generated summaries. The system includes capabilities to use multiple different selection techniques to select the best summary from multiple generated summaries. A first selection technique involves identifying entities and entity relationships from the content to be summarized and selecting a summary from multiple summaries generated for the content based on the entities and entity relationships identified in the content. A second selection technique involves determining a set of questions that are answered by each summary. The technique then selects a summary based upon the set of questions answered by each summary. The system then outputs the selected summary as the summary for the content.

Abstract: Techniques for multi-output model forecasting are provided herein. An example method can include a computing system receiving a request to forecast a value for a variable at a future time point based upon a time series, the time series comprising a sequence of data points, each data point in the sequence of data points identifying a time point and at least one value associated with the time point. The computing system can predict, using a first trained machine learning model and based upon the times series, a plurality of forecast values for the future time point, the plurality of forecast values including: a first forecast value forecasted for the variable at the future time point; and a set of one or more forecast attribute values for one or more attributes of the time series, each of the set of one or more forecast attribute values predicted for the future time point.

Abstract: A system for two-way projection of information and contactless communication of a data item includes a memory and a processor coupled to the memory. The processor initiates a virtual session for an interaction between an entity owner and a user relating to a set of objects and generates a non-fungible token for the virtual session. The processor tracks current information associated with the set of objects and simultaneously project the current information to a first virtual device of the entity owner and a second virtual device of the user. The processor receives, via the second virtual device of the user, a selection of one or more objects and a data item with respect to the selected objects. The processor communicates the data item and the generated non-fungible token for fulfillment of the selected objects to the user. The data item is communicated without requiring explicit contact by the user.

Abstract: State can be maintained between web applications such as a lightweight and a classic version of a web application. A lightweight viewer of a web application providing a visualization dashboard is run in a web browser. User inputs that modify the visualization dashboard are obtained. Then user input for navigation to a classic viewer of the web application is obtained. The classic viewer is navigated to in the web browser. Then the visualization dashboard of the classic viewer is modified to the modified state from the lightweight viewer without user input to the classic viewer.

Abstract: In some aspects, the disclosure is directed to methods and systems for detection and classification of stamps in documents. The system can receive image data and textual data of a document. The system can pre-process and filter that data, and covert the textual data to a term frequency inverse document frequency (TF-IDF) vector. The system can detect the presence of a stamp on the document. The system can extract a subset of the image data including the stamp. The system can extract text from the subset of the image data. The system can classify the stamp using the extracted text, the image data, and the TF-IDF vector. The system can store the classification in a database.

Abstract: Embodiments provide systems and methods to load balance using tenant affinities. A method includes configuring a load balancer with a set of tenant affinities, the set of tenant affinities including a tenant affinity for each of a plurality of tenants with respect to each of a plurality of computing nodes that provide services to users in a multitenant environment. Load balancing may include receiving a user request, associated with a tenant, for a service provided by the computing nodes, determining a highest tenant affinity computing node for the tenant using the set of tenant affinities and directing the user request to the highest tenant affinity computing node for the tenant.

Abstract: A computer-implemented system, method and/or computer program product to monitor changes in business risk of a targeted entity includes retrieving one or more industry classifications for one or more core businesses of the targeted entity; receiving news feeds related to the one or more industry classifications; detecting and extracting negative news related to the core businesses of the targeted entity from the news feeds; calculating an industry confidence score based upon the negative news; determining if the industry confidence score is greater than an industry confidence threshold; calculating, in response to the industry confidence score being larger than the industry confidence threshold, an entity confidence score for the targeted entity based upon negative news; and generating, in response to the entity confidence score being larger than an entity confidence threshold, an alert report for the targeted entity.

Abstract: An embodiment may involve storage containing incident logs and mappings between incident logs and vector representations generated by a machine learning (ML) model.

Abstract: In implementations of systems for stylizing digital content, a computing device receives digital content having a plurality of content entities. Classified content entities are generated by classifying the plurality of content entities using one or more machine-learning models. A determination is then made regarding correspondence of the classified content entities with visual styles of a digital template. Based on the determined correspondence, the plurality of content entities of the digital content are displayed as having the visual styles, respectively, of the digital template.

Abstract: Some embodiments of the invention provide a method of sending data messages from an edge router at a first location of an enterprise network to a SaaS (software as a service) application server provided by a third-party at a second location. The method receives, from a DNS (domain name system) first server, a resolution for a particular destination network address for the SaaS application server at the second location. From a second server, the method obtains an identifier for a first cloud gateway from multiple cloud gateways at multiple locations through which the particular destination address for the SaaS application server can be reached, the first cloud gateway farther from the first location than a second cloud gateway in the multiple cloud gateways but closer to the second location than the second cloud gateway. The method uses an optimized SD-WAN connection to the first cloud gateway to forward data messages for the first cloud gateway to the SaaS application at the second location.

Abstract: Described herein are embodiments for assisting in creating a listing for a For Sale Object (FSO). An item name suggestion module receives seller input and provides suggested entries for the listing to help the seller describe the FSO more accurately and consistently. A hierarchical database provides a structure for ordering suggested entries, with the structure ordered based on scores. The scores are based on rules that relate item characteristics and take into account rankings of those item characteristics with respect to one another. Metadata tags that are used by the online merchandise platforms can be identified and included in the listing, even if a seller is not familiar with the metadata tags. The hierarchical database also connects or associates item characteristics in groups that describe specific FSO. The connections can help to optimize search results as the listing is completed by the seller.

Abstract: Embodiments are described for a user device comprising a transceiver configured to communicate with a server and a processor communicatively coupled to the transceiver. The processor is configured to receive a uniform resource locator (URL) from the server and determine that the URL is a universal link. The processor is further configured to authenticate the universal link and parse the universal link to obtain a domain link. The processor is further configured to connect to the domain link.

Abstract: Briefly, embodiments of a system, method, and article for receiving a request, via a user interface, from a first backend system on a central exchange. The request may be for a determination of a schema for documentation produced by a second backend system on the central exchange. The second backend system may engage in one or more transactions with the first backend system. The first backend system may be integrated with the central exchange. The schema for the documentation generated by the second backend system over the central exchange may be automatically determined. Rules for transactions with the second backend system may be automatically determined. The schema and rules for the second backend system may be automatically combined. The integration package may be automatically generated and deployed within a conversion layer of the first backend system.

Abstract: Devices and methods for computer vision guided monitoring and analysis of a display module are disclosed herein. The method receives at least one captured image of at least a portion of an object for displaying at least one item. The method quantifies a state of the object present in the captured image by determining at least one anomaly associated with the object present in the captured image based on a comparison of at least one extracted attribute of the object present in the captured image and at least one extracted attribute of the object present in a reference image where the reference image is indicative of an optimal state of the object present in the captured image. The method determines whether the anomaly is greater than a threshold and generates and transmits a notification when the anomaly is greater than the threshold.

Abstract: The present disclosure provides a muzzle-end adapter for bore sighting of large caliber guns. The muzzle-end adapter includes a main operating shaft extending along a first longitudinal axis. The muzzle-end adapter includes a disk. Further, the muzzle-end adapter includes a main body. The main body encapsulates the main operating shaft. Furthermore, the muzzle-end adapter includes a first-section and a second-section. The second-section includes a plurality of sets of centering fingers. The second-section encapsulates the disk. Moreover, the muzzle-end adapter includes a plurality of conical disks. The plurality of conical disks includes a first conical disk and a second conical disk. The first conical disk is positioned at a second end of the second-section. The second conical disk is positioned at a first end of the second-section. Also, rectilinear motion of the second-section over the plurality of conical disks radially expands centering fingers of the plurality of sets of centering fingers.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first user equipment (UE) may receive a registration message including a decode key associated with a ranging service. The UE may receive, from a second UE, an encoded value and an identifier associated with the second UE. The UE may validate the identifier using the encoded value and the decode key. The UE may establish a ranging session associated with the second UE based at least in part on validating the identifier. Numerous other aspects are described.

Abstract: The present disclosure provides a muzzle end adapter for performing bore sighting of a small caliber gun. The muzzle end adapter includes a plurality of hand levers. In addition, the muzzle end adapter includes a main operating shaft connected rigidly with a first hand lever. Also, the muzzle end adapter includes a cylindrical member connected at one end of the main operating shaft. Moreover, the muzzle end adapter includes a plurality of centering devices. The plurality of centering devices includes a plurality of jaws. The plurality of jaws includes a plurality of equiangular spaced jaws centered around a pivot pin. Further, the muzzle end adapter includes a disk. Furthermore, the disk includes a tapered hole connected with the muzzle end adapter.