Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Abstract: Embodiments of a device and method are disclosed. In an embodiment, a method for wireless channel scanning involves performing a wireless local area network (WLAN) scan and a spectral scan on a first channel of a channel scan list, and at the wireless device, performing the WLAN scan and the spectral scan on a second channel of the channel scan list after the WLAN scan and the spectral scan on the first channel are completed.

Abstract: An overhead conductor includes a bare conductor coated with a cured coating composition formed from a single-part coating dispersion. The cured coating composition includes silicon dioxide or derivatives thereof, one or more metals from Groups IA-IIIA of the periodic table, one or more acrylates, titanium dioxide, and optionally, barium sulfate. A method of making a coated overhead conductor includes preparing the single-part coating dispersion, applying the coating dispersion to a bare conductor, and curing the coating dispersion to form the coated overhead conductor. The single-part coating dispersion includes silicon dioxide, one or more metal silicates, one or more acrylates, titanium dioxide, water, and optionally, barium sulfate.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for determining a categorization for each tracking tool that executes on a particular webpage based on a variety of criteria, such as the purpose of the tracking tool and its source script. The system may compare the characteristics of tracking tools on a webpage to a database of known tracking tools to determine the appropriate categorization. When a user visits the webpage, the system analyzes these categories and determines whether the tracking tool should be permitted to run based on the categories and/or other criteria, such as whether the user has consented to the use of that type of tracking tool.

Abstract: A bundle of carbon nanotubes (CNT), comprising a plurality of CNT with lengths of at least about 7 microns, wherein the bundle has a diameter of less than about 12 nm.

Abstract: Various embodiments discussed herein relate to prompting a model, such as a Large Language Model (LLM), to ingest natural language clustering instructions and generate corresponding natural language clustering information, such as a cluster description and/or a cluster label without the need to generate any numeric text embeddings.

Abstract: A method and system for performing actions through testbench components present within a test environment based on a testing context is disclosed. The method includes sending, by each of a plurality of testbench components to an actions controller, an associated controllable actions packet, wherein the controllable actions packet comprises a list of controllable actions corresponding to a testbench component. The method further includes receiving, by each of the plurality of testbench components from the actions controller, an associated context-based actions control packet in response to sending. The method includes configuring each of the plurality of testbench components based on the associated context-based actions control packet. The method further includes performing, by each of the plurality of testbench components, the one or more actions present within the associated context-based actions control packet.

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for efficiently generating and using intent taxonomies. In embodiments, training data, including data requests for information, is obtained. Thereafter, a model prompt to be input into a large language model is generated. The model prompt includes an instruction to generate an intent taxonomy, an indication of the training data to use for generating the intent taxonomy, and a taxonomy attribute desired to be used as criteria to generate a quality intent taxonomy. An intent taxonomy that includes user intent classes is obtained as output from the large language model. The intent taxonomy is analyzed to determine whether the intent taxonomy is valid. When the intent taxonomy is determined as valid, the intent taxonomy is provided for use in identifying user intent, and when the intent taxonomy is determined as invalid, the intent taxonomy is refined.

Abstract: A processor receives a command to process a job, generates a plurality of process images, and deploys the process images on a plurality of optical computing nodes. The processor detects that a first process image has failed at a first optical computing node, and in response, identifies a first reference process image corresponding to the first process image. The processor determines a root cause associated with the failed first process image based on comparing the first process image to the first reference process image. The processor resolves the root cause and re-deploys the first process image at the first computing node or a second computing node.

Abstract: An electronic apparatus, including a microphone; a memory configured to store at least one instruction; and a processor configured to: acquire a first token corresponding to a first user voice input in a first language acquired through the microphone, acquire a first text in a second language by inputting the first token into a first neural network model, acquire a feature value corresponding to a predicted subsequent token, which is predicted to be uttered after the first token, by inputting the first text into a second neural network model, and based on a second token being acquired subsequent to the first token, acquire a second text in the second language by inputting the first token, the second token, the first text, and the feature value into the first neural network model.

Abstract: Provided are methods and systems for combining business process management (BPM) and robotic process automation (RPA) into a unified BPM and RPA process. An example method commences with creating a BPM process flow. The BPM process flow can include one or more BPM models for executing BPM tasks. The method then proceeds with creating an RPA process flow. The RPA process flow can include one or more RPA models for executing the one or more RPA tasks. The method can further include linking the one or more RPA models to the BPM process flow. Thereafter, the method proceeds with creating an application package associated with the unified BPM and RPA process. The application package can include the one or more BPM models and the one or more RPA models. The method can further include exporting the application package for deployment.

Abstract: A cloud marketplace includes a network of data centers that collectively allow users to search for and purchase products, including applications and extensions to applications. Each data center supports a marketplace module that executes on computing resources to offer users the products and receive and send product metadata descriptive of the products. The marketplace module in each data center, on receiving user feedback related to one of the products, updates the product metadata with the user feedback, and updates a database in the data center using database management system protocols. The marketplace module also passes the user feedback to an agent module within the data center that is separate from the database management system. The agent module passes the user feedback to agent modules of other data centers so that the user feedback can be synchronized across data centers before the database management systems of the data centers synchronize with each other.

Abstract: Compositions including a filler, an emissivity agent, a crosslinking facilitator, and a metal silicate binder are disclosed. The compositions can be curable at ambient conditions. Methods of coating overhead conductor and power transmission line accessories with such coating compositions are also disclosed.

Abstract: Systems and methods thereof, of generating a unique identification code for an industrial commodity. The method includes receiving a user query indicative of at least one constructional and operational characteristic of the commodity, inspecting the user query to determine whether the user query is complete for identification of the commodity, updating the user query based on the inspection, identifying at least one attribute of the commodity from the updated user query, based on a list of predefined attributes of the commodity, mapping the at least one attribute to at least one of predefined attribute types, predefined regional standards, predefined commodity rules, and predefined commodity types, and generating the unique identification code for the commodity, based on the mapping. The predefined attribute types may be a predefined commodity group and a predefined commodity part.

Abstract: A bundle of carbon nanotubes (CNT), comprising a plurality of CNT with lengths of at least about 7 microns, wherein the bundle has a diameter of less than about 12 nm.

Abstract: A method and system for controlling actions of testbench components present within a test environment based on a testing context is disclosed. In some embodiments, the method includes receiving a controllable actions packet from each of a plurality of testbench components in the test environment; parsing a testing context associated with a test sequence; generating a context-based actions control packet for each of the plurality of testbench components, based on the testing context metadata and the list of controllable actions corresponding to each of the plurality of testbench components; and transmitting the context-based actions control packet to an associated testbench component of the plurality of testbench components.

Abstract: A system, method, and computer-readable medium are disclosed for authentication users to information handling systems. A user's user biometric, heartbeat pattern, and heart rate information are acquired and registered to an information handling system. To access the information handling system, a user's biometric, heartbeat pattern, and heart rate information are acquired and compared to the registered information. Reacquiring and recalibrating is performed for the user biometric, heartbeat pattern, and heart rate information during a session on the information handling system.

Abstract: A system and method for call routing based on measuring and applying a digital intensity metric to interact with a user of a provider system is disclosed. Specifically, the embodiments provide systems and methods that allow users to place a voice call to the system. The system receives the voice call from a calling user. The system obtains transaction information and processes the transaction information to summarize the transaction information for the user. The system uses the processed information to calculate a digital intensity metric, and the user is classified as a rare user based on the digital intensity metric. The user is then routed to a special member service representative, user information is provided to the member service representative, consent documents are provided to the user, and executed consent documents are received from the user.

Abstract: A method and system for generating an activity report for testbench components in a test environment is disclosed. In some embodiments, the method includes retrieving a unique ID associated with each of a plurality of registered testbench components. The method further includes selectively configuring the ATU associated with one or more testbench components from the plurality of registered testbench components to generate an activity tracking report at an end of a simulation, based on a user requirement. The method further includes fetching the activity tracking report corresponding to the one or more testbench components based on the associated unique ID. The method further includes generating a summarized activity report corresponding to the one or more testbench components based on the activity tracking report received from the respective ATU. The method further includes rendering at least one of the activity tracking report and the summarized activity report to a user.

Abstract: A method and system for controlling actions of testbench components present within a test environment based on a testing context is disclosed. In some embodiments, the method includes receiving a controllable actions packet from each of a plurality of testbench components in the test environment; parsing a testing context associated with a test sequence; generating a context-based actions control packet for each of the plurality of testbench components, based on the testing context metadata and the list of controllable actions corresponding to each of the plurality of testbench components; and transmitting the context-based actions control packet to an associated testbench component of the plurality of testbench components.