Abstract: An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.

Abstract: A computer-implemented method to generate training data with increased fairness. The method includes identifying a set of training data comprising at least one independent variable and dependent variable. The method includes analyzing the set of training data to identify correlations between the independent and the dependent variables. The method further includes identifying at least one correlation between the one or more independent variable and the dependent variable. The method includes calculating a fairness score for each first independent variable against the dependent variable. The method further includes creating, based on the analyzing, a fairness profile for the set of training data. The method also includes generating, by a generative adversarial network (GAN) and based on the set of training data and the fairness profile, a set of synthetic training, where the GAN is configured to increases the fairness score for each variable with a disparate effect score above a threshold.

Abstract: This disclosure relates to methods, systems, and devices for AI/ML assisted management of a radio access network (RAN). In particular, an LLM is employed to generate answer to user queries, for example in the form of code that can be executed upon streaming data from the RAN, including performance management and control management databases. To provide prompts the LLM can understand, an LLM agent employs a knowledge base and experience base to transform the language of the queries from the highly technical telecommunications domain to a general domain. Frequently asked questions and their answers may be stored in the experience base and used instead of using the LLM.

Abstract: The illustrative embodiments provide a framework for executing data-centric workflows within the database session, thus achieving workflow execution with no additional process creation, virtualization, or network overhead. The user-provided serverless functions that comprise the application workflow are compiled into native-image binary executables and deployed as stored procedures. Using native-image stored procedures greatly reduces memory and execution time overhead compared to traditional serverless computing frameworks. An application workflow is configured using workflow metadata, which specifies the native-image stored procedures that make up the application workflow and transaction boundaries at runtime. The framework ensures low overhead fault tolerance using run-to-completion and exactly-once semantics.

Abstract: A service obtains traffic logs for traffic of a network that has been sent according to a Layer 7 protocol (e.g., SNMP or DNS). The service identifies from the traffic logs device names that appear to correspond to different devices/NICs as names of candidate multi-NIC devices. The service extracts features from names of the candidate multi-NIC devices and generates respective feature vectors. The service can generate “documents” representing each device name from which it extracts features by determining n-grams of each device name, where a set of n-grams of a device name is treated as a document, and each n-gram is treated as a term in the document. Exemplary features that can be extracted based on a device name document include within-document and cross-document uniqueness scores. The service clusters the feature vectors with unsupervised learning and identifies clusters of a size that satisfies a criterion as corresponding to multi-NIC devices.

Abstract: Systems and methods of coastal erosion protection are disclosed, the system including at least one floating member, an anchor rode, an anchor, and a water-tolerant plant. The methods include placing at least one floating member in offshore waters, coupling an anchor rode to the floating member, coupling an anchor to the anchor rode, mooring the floating member to the sea floor, the mooring step further including placing the anchor on the sea floor and tightening the anchor rode until any slack in the anchor rode is removed, planting a water-tolerant plant in coastal soil, growing the water-tolerant plant to a pre-determined growth stage, and removing the floating member from offshore waters.

Abstract: Systems and methods for dynamic throttling of input/output queues in data storage device arrays are described. Data storage devices are connected through the slots and corresponding lanes of a storage interface switch. A storage controller uses a delay inserted between host submission queues and backend submission queues to manage the priority of host storage commands using slot groups.

Abstract: A computer-implemented method for analyzing issues in a cellular network is provided. The cellular network includes a plurality of cells, including source cells and neighbor cells. The method includes building a network graph representing features of the cells. The method includes identifying, using the network graph, sub-graphs for each source cell indicating a network issue. The method includes, for each network issue of the source cell for each sub-graph, ranking each feature. The method includes, for each source cell, training, using a feature set identified, a first machine learning (ML) model. The method includes training a second ML model, using patterns identified by each cluster, to classify an unidentified pattern of one or more neighbor cells contribution to the source cell network issue and identify root cause information for the issue.

Abstract: Localized incident resolution with reconstruction is disclosed. Fresh (i.e. non-generic) resolutions for IT incidents that include local user-specific attributes are generated. N-possible robotic process automation (“RPA”) workflows are generated for applications at issue or cosine similar ones. IT incidents are reconstructed in safe environments. Modeling is performed to determine which of the N-possible RPA workflows have a sufficient probability of resolving the IT incident. Select RPA workflows are executed on the reconstructed IT incident in the safe environment to identify which workflow(s), if any, resolve the IT incident. RPA workflows demonstrated to work can be localized based on the user-specific attributes and deployed automatically. Detailed feedback and instructions specific to the user and the user's IT incident can be provided to identify what steps to take if a complete automated solution was not identified and successfully tested.

Abstract: The present invention minimizes issues with transmission lines through the use of a normal-metal/superconducting meta-material structure realized with controlled impedance sub-wavelength line sections, which effectively concentrate the uncertainty in the section lengths in a portion of the termination geometry which has minimal impact on the non-resonant absorption in the structure. The present invention is used to achieve broadband absorption response and signal termination in planar transmission line devices. The longest wavelength sets the required length of the meta-material line, and its footprint is set by properties of the guiding structure (i.e., the resultant line can be folded, meandered, or spiraled with a spacing set is set by the field confinement of the transmission line topology in use).

Abstract: Methods, systems, and devices for wireless communications are described that asynchronous carrier aggregation, including between high frequency band and lower frequency band transmissions. A user equipment (UE) may be configured to monitor transmissions in a first frequency band and a second frequency band. The UE may measure a timing difference between transmissions in the first frequency band and one or more of the transmissions in the second frequency band, and transmit an indication of the timing difference to a base station. The base station may use the timing difference to determine whether the UE is to use asynchronous carrier aggregation. If the base station determines that the UE is to use asynchronous carrier aggregation, the base station may configure the UE to observe at least a minimum amount of delay when conducting uplink signaling via one of the frequency bands.

Abstract: Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.

Abstract: Agent evaluation systems and methods, and non-transitory computer readable media, include receiving a recorded interaction between a customer and a contact center agent; retrieving or determining an interaction divergence range for each of a plurality of interaction parameters for the recorded interaction; calculating a form divergence determinant (FDD) score for each of a plurality of evaluation forms, wherein the lower the FDD score, the more suitable an evaluation form is for the recorded interaction; filtering out evaluation forms having an FDD score greater than a predefined threshold; ranking evaluation forms having an FDD score lower than the predefined threshold based on their FDD score; and providing a list of the ranked evaluation forms to a supervisor of the contact center agent.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for dynamic load balancing for multi-core computing environments. An example apparatus includes a first and a plurality of second cores of a processor, and circuitry in a die of the processor separate from the first and the second cores, the circuitry to enqueue identifiers in one or more queues in the circuitry associated with respective ones of data packets of a packet flow, allocate one or more of the second cores to dequeue first ones of the identifiers in response to a throughput parameter of the first core not satisfying a throughput threshold to cause the one or more of the second cores to execute one or more operations on first ones of the data packets, and provide the first ones to one or more data consumers to distribute the first data packets.

Abstract: Systems, methods, and apparatus are provided for generating dynamic metaverse accommodations using artificial intelligence. A user device may initiate a metaverse session. Deep learning networks may derive a user profile based on data from the user device and generate a set of samples from the user profile. The generated samples may include user characteristics and avatar features associated with the user characteristics. The generated samples may be used to train a multitask machine learning model. Deep learning networks may generate a metaverse accommodation targeted to the user profile. The accommodation may be rendered in the metaverse environment. The accommodation may be transmitted to an actuator at the user device. The accommodation may be stored in association with user characteristics in a distributed ledger.

Abstract: One example method includes using an ensemble including machine learning (ML) forecasting models, determining respective relationships between past media spends and changes in search engine optimization (SEO) driven consumer demand for a product or service, ranking the relationships according to a criterion, based on the ranking, generating a forecast that comprises recommended future media spends, and effects expected to be achieved by those future media spends, and implementing the recommended future media spends.

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: Disclosed is a configuration for managing the organization of data tables in cloud-based storage. The configuration receives metrics for data processing operations on the data table. Metrics include at least one of a size of the data table, a size of each file in the data table, and metadata describing the data table. The configuration automatically executes a cost-benefit analysis based on the one or more metrics for each candidate maintenance operation in a plurality of candidate maintenance operations. The configuration automatically selects a maintenance operation from the candidate maintenance operations to automate based on the cost-benefit analysis of the one or more candidate maintenance operations. The selected maintenance operation is automated and scheduled on the data table.

Abstract: Embodiments of the present invention provide a system for generating on-demand single-use biometric authentication credentials. The system is configured for determining initiation of an authentication request to access a resource from a user device of a user, prompting the user to select a type of authentication credential from one or more types of authentication credentials, receiving a selection of the type of the authentication credential, instantaneously generating a single-use unique authentication credential associated with the type of the authentication credential, via one or more machine learning models, and transmitting the single-use unique authentication credential to the user device for use in authentication of the user in gaining accessing to the resource.

Abstract: Aspects of the present disclosure provide a filler cell that may be placed next to the active cell to reduce a current-resistor (IR) drop for the active cell. The filler cell includes an active dummy device coupled to a source of a transistor in the active cell and a rail (e.g., a ground rail or a voltage supply rail). The filler cell provides the active cell with at least one additional current path between the source of the transistor and the rail through the active dummy device, which reduces the IR drop between the source of the transistor and the rail.