Abstract: Provided are methods for reducing the size of a communication between applications in a network. Methods may include receiving, at a computer processor running on a central server, a plurality of values and a plurality of keys from application A, each value paired with a respective key, and storing the values and keys on the central server. A first communication may be transmitted from application A to application B. A second communication may be transmitted from application B to application C, where applications A, B and C are running on the network. Each communication may contain one or more keys and are smaller than if they had contained corresponding values for the keys registered to application A. The computer processor may provide to applications B and C the values to the keys in the first and second communication, respectively, for example, when rendering data to a user interface.

Abstract: A channel crawler has a carriage, a stabilizing mechanism, and a deployment mechanism. The carriage has wheels configured to engage surfaces that define a channel through which the carriage is configured to move. The stabilizing mechanism is configured to extend from the carriage and engage a non-horizontal surface of the channel in a manner restricting unintended movement of the carriage in one or more directions. The deployment mechanism is configured to fit within the carriage when retracted, and selectively deploy an operational device from a stowed position within the carriage to a deployed position outside the channel for performing an operation in relation to at least one of structure and hardware proximate the channel.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive an indication of an antenna port mapping from a network entity. The antenna port mapping may be between a tracking reference signal and a corresponding reference signal, the antenna port mapping indicating a mapping of a tracking reference signal port to a plurality of reference signal antenna ports associated with the corresponding reference signal. The UE may receive a tracking reference signal via the tracking reference signal port based on the antenna port mapping. The UE may perform a channel measurement procedure using the tracking reference signal based on the mapping.

Abstract: An integrated circuit (IC) package includes: a package resistor having a first terminal and second terminal; and an IC separate from and coupled to the package resistor. The IC includes sense circuitry having a first terminal and a second terminal. The first terminal of the sense circuitry is coupled to the first terminal of the package resistor. The second terminal of the sense circuitry is coupled to the second terminal of the package resistor.

Abstract: Systems, methods, and other embodiments associated with an integrated data system that recommends next best agents for call centers are described. In one embodiment, a method includes a customer interaction associated with an issue and a customer ID, querying a unified data source to identify which categories of data are available in response to receiving a customer interaction associated with an issue. The unified data source integrates a plurality of data categories from different data sources. A combination of available data categories is determined and based on the combination of available data categories, selecting and executing a routing algorithm from a plurality of routing algorithms. The executed routing algorithm generates an agent recommendation for the customer interaction and a communication channel is established between a device associated with the recommended agent and the customer interaction to route the customer interaction to the recommended agent.

Abstract: An integrated system for efficiently managing and reviewing multimodal media content in legal and document review contexts is presented. This system introduces synchronized, four-dimensional interface components that streamline the review of audio and video content. Features include the normalization and compression of media files for optimized playback, conversion of audio into searchable text, and a synchronized timeline view with audio waveforms and video thumbnails for precise navigation. Additionally, the system offers redaction capabilities, allowing for the selective removal of sensitive information from media content without compromising file integrity. The system offers a comprehensive solution for analyzing and managing multimedia content within eDiscovery tools.

Abstract: Various aspects of the disclosure relate to distributed ledger computing systems and customizing tokens for securing and facilitating transactions recorded in the distributed ledger. A token customization module may be used to build customized controls into a token for use in a blockchain system. The token customization module may personalize or otherwise customize rules based on requirements of a user's particular use of the distributed ledger system. The customized rules may be used to trigger alerting behavior, prevent and/or automate particular transactions, provide geofencing and/or regional restrictions for transactions of a specified type, among others. Once built, the rules may be incorporated into the tokens and immutably memorialized in the distributed ledger. The customized tokens may be associated with or incorporate a smart contract to layer additional functionality.

Abstract: A processor receives a request to delegate, to a second user, one or more scheduled transfers of data objects from a first data file to a first entity. In response, the processor generates and transmits digital tokens amounting to a first amount of data objects allocated to the second user for the scheduled transfers. The processor receives a second request from the first entity for a first scheduled transfer of data objects from the first data file. In response to receiving the second request the processor transfers to the first entity a third amount of data objects equivalent to the amount of digital tokens transferred to the first entity by the second user for the first scheduled data transfer.

Abstract: A system comprises a machine check architecture and a processor. The machine check architecture is configured to log hardware errors. The processor is configured to obtain a log of one or more of the hardware errors from the machine check architecture and/or to generate a copy of the log. The processor is further configured to either (1) deliver the log to an in-band agent and the copy of the log to an out-of-band agent or (2) deliver the copy of the log to the in-band agent and the log to the out-of-band agent. Various other devices, systems, and methods are also disclosed.

Abstract: Systems, methods, and apparatus for context-drive search are disclosed. An example apparatus includes memory to store machine-readable instructions, and at least one processor to execute the machine-readable instructions to at least tokenize text included in a query for content into text portions, encode the text portions into respective vectors, organize the text portions based on natural language similarity of the text portions, the natural language similarity based on the respective vectors, and generate one or more search results based on the organized text portions, and rank the one or more search results for presentation on a computing device.

Abstract: Systems and methods for generating a distributionally robust counterpart for adversarial training of a machine learning model by adjusting an ambiguity set of the training data with respect to synthetic data are provided. The method includes: receiving a first dataset that includes data used for training a machine learning model, the first dataset having a first true distribution and a first empirical distribution; determining a first ambiguity set that relates to the first empirical distribution; obtaining a second dataset that includes synthetic data used for countering adversity with respect to the first dataset, the second dataset having a second true distribution and a second empirical distribution; determining a second ambiguity set that relates to the second empirical distribution; determining a third ambiguity set by obtaining an intersection between the first and second ambiguity sets; and training the machine learning model by using the third ambiguity set.

Abstract: Systems and methods for generating synthetic datasets having distributions that are close to those used as training sets for a generative model and for which a predefined feature of the dataset is close to a predefined value are provided. The method includes: receiving a first dataset that includes original data; determining an expression of a Schrodinger Bridge problem that corresponds to the first dataset; modifying the expression by introducing a term that relates to a transformation function; optimizing the transformation function with respect to a predetermined feature of the first dataset; and using the optimized transformation function to generate a second dataset that includes synthetic data.

Abstract: Strings of a text file representing a configuration of a target device are respectively tokenized into tokens for the configuration. The tokens for the configuration are shingled. A target device signature representing the configuration of the target device is generated by applying a min-wise independent permutations locality sensitive hashing (MinHash) technique to the tokens as have been shingled. Whether the configuration of the target device is anomalous is identified based on the target device signature.

Abstract: A method and a system for generating synthetic data that corresponds to an original dataset while maintaining demographic parity are provided. The method includes: receiving a first dataset of original data points, each original data point including a first coordinate that relates to sensitive demographic features, a second coordinate that relates to decision-making features, and a third coordinate that relates to a decision outcome; determining a demographic parity constraint to be applied to the first dataset; generating a second dataset of synthetic data points, each of which includes the first, second, and third coordinates; computing sample-level weights for the synthetic data points; and generating a third dataset by applying the sample-level weights to the second dataset. The computation of the weights includes minimizing the Wasserstein distance between the first dataset and a weighted version of the second dataset while satisfying the demographic parity constraint.

Abstract: A method and a system for pre-processing data for algorithmic fairness via optimal transport in order to reduce disparities in classification datasets without modifying the original data are provided. The method includes: receiving a first dataset that includes a set of samples, each respective sample including a first coordinate that relates to sensitive demographic features, a second coordinate that relates to decision-making features, and a third coordinate that relates to a decision outcome that is generated by a machine learning model; determining a demographic parity constraint to be applied to the first dataset; computing a set of respective sample-level weights that correspond to each sample; and generating a second dataset by applying the set of respective sample-level weights to the first dataset The computation of the sample-level weights includes minimizing a Wasserstein distance between the first dataset and a weighted version thereof while satisfying the demographic parity constraint.

Abstract: Systems, computer program products, and methods are described herein for adjustment of data syndications.

Abstract: Methods, systems, and apparatuses for graph streaming processing are disclosed. One method includes receiving, by a thread scheduler, a group of threads, calculating a resource requirement for execution of the group of threads, calculating resource availability in a plurality of processors of each of a plurality of processor arrays, dispatching the group of threads to a selected one of plurality of processors of processor arrays, scheduling a group load instruction for all threads of the group of threads, including loading into a group load register a subset of inputs of the input tensor for processing of each thread of the group of threads, wherein the group load register provides the subset of the inputs of the input tensor to the group of threads of the selected one of the plurality of processors, wherein all threads of the group of threads are synchronized when executing the group load instruction.

Abstract: A system for switching between public and private operations for conducting interactions comprises a processor associated with a server. The processor accesses a virtual environment configured to provide interactions associated with an entity. The processor receives interaction objects and an input operation mode from an avatar associated with a user device for an interaction. The processor determines the input operation mode is a private operation mode and further processes the interaction objects and the user profile to determine a first set of protocols compatible with the private operation mode. The processor verifies that the interaction objects match authentication requirements of the first set of the protocols. The processor determines a system environment is compatible with the first set of the protocols and comprises a set of applications in the private operation mode. The processor executes the applications to process the interaction objects to conduct the first interaction.

Abstract: The present disclosure relates to field of Dual In-Line Memory Modules that discloses method and system for generating memory maps. The method comprises detecting, by computing system, at least one of DIMM and one or more Dynamic Random Access Memory (DRAM) chips associated with computing system. The one or more accelerators are configured in at least one of DIMM and one or more DRAM chips. Further, the method includes determining accelerator information for each of one or more accelerators via at least one of Serial Presence Detect (SPD) and Multi-Purpose Register (MPR) associated with at least one of DIMM and one or more DRAM chips. Method includes generating unique memory map for each of one or more accelerators based on accelerator information of corresponding one or more accelerators. As a result, performance of computing system may be improved as accelerator capabilities of one or more accelerators are effectively utilized.

Abstract: A method for facilitating supervised generative optimization for synthetic data generation is disclosed. The method includes receiving, via an application programming interface, inputs that include input data and parameters; partitioning the input data to generate data sets, the data sets including training data sets, validation data sets, and test data sets; tuning hyperparameters of synthesizers by using the data sets and supervised optimization that is based on downstream performance metrics; determining a mixture distribution from among the tuned synthesizers; training machine learning models based on the mixture distribution; and generating, by using the trained machine learning models, sets of synthetic data based on the input data.