Abstract: Systems and methods for using ranging signals with cellular devices. The ranging signals may utilize ranging slots and resources at least partially allocated by a cellular network. The resources may include frequencies used for uplink or downlink communications between the cellular network and the cellular devices. Alternatively, the resources may include frequencies outside of a spectrum used for communication between the cellular network and the cellular devices.

Abstract: A combustor includes a premixer fuel injector that injects fuel into the combustor and ignites mixture of the fuel and compressed air to produce exhaust gas, a transition duct through which the exhaust gas passes, a secondary fuel injector disposed in an opening of the transition duct for providing further fuel to the exhaust gas, and a collar fixedly coupled to the transition duct and positioned to surround the secondary fuel injector. The collar cooperates with the secondary fuel injector to define an upstream purge path disposed on an upstream side of the opening and a downstream purge path disposed on a downstream side of the opening by a flow direction of the exhaust gas that each provides a flow communication between an exterior of the transition duct and an interior of the transition duct. The upstream purge path has a larger flow area than the downstream purge path.

Abstract: The subject technology uses an agent architecture for language models and large language models (LMs) to complete a variety of different tasks within software platforms. The agent LMs are trained to determine different action chains that may be used to generate responses to tasks requested by users. The action chains may include a sequence of multiple actions that each complete a portion of the requested task. The agent LMs may be trained to perform different types of action chains using training prompts that teach the agent LMs to use tools that enable the LMs to interact with different software resources. The agent architecture may coordinate multiple agent LMs to complete tasks that require multiple action chains to complete.

Abstract: Disclosed are various embodiments for redacting or modifying content in documents that are provided to users. A user's clearance level can be determined by analyzing the role of the user within the enterprise. A redaction level can be determined from the clearance level. A document or other content can be modified or redacted based upon the redaction level.

Abstract: A method includes identifying a sequence of transformations to be performed on an input dataset via a user interface. The method also includes identifying a first context associated with the input dataset. The method further includes selecting a first one of multiple execution engines to be used to perform the sequence of transformations on the input dataset based on the first context. In addition, the method includes providing first code implementing the sequence of transformations to the first execution engine and executing the first code using the first execution engine to perform the sequence of transformations on the input dataset.

Abstract: A wireless transceiver. The transceiver includes: (i) a transmit signal path; (ii) a calibration path, comprising a conductor to connect a calibration tone into the transmit signal path; (iii) a receive signal path, comprising a first data signal path to process a first data and a second data signal path, different than the first data signal path, to process a second data; (iv) a first capacitive coupling to couple a response to the calibration tone from the transmit signal path to the first data signal path; and (v) a second capacitive coupling to couple a response to the calibration tone from the transmit signal path to the second data signal path.

Abstract: Transform modes are derived for inter-predicted blocks using side information. A prediction residual is generated for a current video block using a reference frame. Side information associated with one or both of the current video block or the reference frame is identified. A trained transform is determined from amongst multiple trained transforms based on the side information, in which each of the trained transforms is determined using individual side information types and combinations of the individual side information types and the side information represents values of one of the individual side information types or one of the combinations of the individual side information types. The prediction residual is transformed according to the trained transform, and data associated with the transformed prediction residual and the side information are encoded to a bitstream.

Abstract: Techniques are provided for managing an end-to-end software development life cycle. A software development lifecycle management system performs a plurality of stages of work for developing a software application, and records transactions which result from performing the plurality of stages of work, in an immutable digital ledger. The immutable digital ledger can be a blockchain ledger.

Abstract: Systems and techniques are disclosed for testing the functional equivalence of a legacy system, such as mainframe system, and an adapted system, such as a cloud version of the mainframe system. The same input can be provided to both the legacy system and the adapted system, such that the legacy system and the adapted system can both operate separately on copies of the same input. Results produced by the legacy system and the adapted system based on the same input can accordingly be compared. If results produced by the legacy system and the adapted system over time are determined to be functionally equivalent, the adapted system can be determined to be functionally equivalent to the legacy system.

Abstract: Systems and methods are provided for determining an environmental impact of one or more transactions. An example method generally includes accessing transaction data representative of a plurality of transactions, where each of the transactions involves a user and a merchant, and accessing at least one index indicative of environmental impact of a plurality of merchants. The method also includes generating a graph based on the users and merchants included in the transaction data, whereby the graph is representative of the plurality of transactions, and determining a mapping between ones of the merchants involved in the transaction data and the environmental impact indicated by the at least one index, based on at least one of: the graph, the accessed at least one index, a graph convolution network (GCN), and a graph neural network (GNN). The method then includes publishing the mapping between the ones of the merchants and the environmental impact.

Abstract: In an embodiment, a system may include one or more processors forming central processing units (CPUs) in the system, a display controller configured to display frames on a display device, a memory controller configured to control a memory, and a power management circuit. The power management circuit may be configured to establish one of a plurality of power states in the system. In a first power state, the display controller and the memory controller are powered on while the CPUs are powered off. The display controller may be configured to read a plurality of prerendered frames from the memory and display the plurality of prerendered frames at times specified for each of the plurality of prerendered frames.

Abstract: Described herein is a system for automatically detecting and assigning action items in a real-time conversation and determining whether such action items have been completed. The system detects, during a meeting, a plurality of action items and an utterance that corresponds to a completed action item. Responsive to detecting the utterance, the system generates a similarity score with respect to a first action item of the plurality of action items. The system compares the similarity score to a first threshold. Responsive to determining that the similarity score does not exceed the first threshold, the system generates a second similarity score with respect to a second action item of the plurality of action items. The system compares the second similarity score to a second threshold, which exceeds the first threshold. Responsive to determining that the second similarity score exceeds the second threshold, the system marks the second action item as completed.

Abstract: A system for saving history information of input data to parameters included in a view is provided. The system includes a processor configured to: output an instance of the view; obtain pre-stored view details for the view, including identifiers of the parameters and tables to which input data of the parameters included are to be stored; make a generic API call to save current input data of a parameter to a table, wherein an input to the API call includes the current input data and old data of the parameter; based on the current input data and the old data being different, store the current input data in the table, create history information of the current input data and store the history information in a history table.

Abstract: Data transformation and data quality checking is provided by reading data from a source datastore and storing the data into memory, performing in-memory processing of the data stored in memory, where the data is maintained in-memory for performance of the in-memory processing thereof, and where the in-memory processing includes performing one or more transformations on the data stored in memory, in which the data stored in memory is transformed and stored back into the memory and applying one or more data quality rules to the data stored in-memory, and based on performing the in-memory processing of the data stored and maintained in memory for the in-memory processing, loading to a target datastore at least some of the data processed by the in-memory processing.

Abstract: Disclosed are systems, methods, integrated circuits and computer readable storage media for configuring time sensitive communications (TSC). The configuring of the TSC includes monitoring, by a user plane function (UPF), a source and destination of packets in a first protocol data unit (PDU) session of a first user equipment (UE) and in a second PDU session of a second UE, pairing a first device side TSN translator (DS-TT) port of the first UE with a second DS-TT port of the second UE when the first PDU session and the second PDU session are served by the same UPF, wherein the pairing is based on the monitoring of the first and second PDU sessions and when the first DS-TT and second DS-TT ports are paired, communicating the packets between the first UE and the second UE in a UE-UE communication without traversing the TSN.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for utilizing a content recommendation system powering a streaming media publisher channel to enhance an ad creative being shown to the user via awareness or performance campaigns. This method allows the platform to present the most relevant Machine Language (ML) personalized in-channel content to the publisher platform users in endemic banners that run on the platform which then correspondingly helps drive user reach. An example embodiment operates by implementing personalized content banners that may act as a hook for channel users opening their streaming device, both active and lapsed, to enter back into the channel.

Abstract: A wireless telecommunication network is configured to provide enhanced subscriber messaging to subscriber devices related to predicted changes to network service access. Network service changes are predicted based on events that are published in a network event queue, with certain events indicating a failure of a subscriber to meet service subscription requirements. A notification subsystem of the wireless telecommunication network, in response to detecting the certain events, causes notifications to be displayed on multiple subscriber devices of the subscriber. The display of notifications on subscriber devices is remotely controlled by the notification subsystem. For example, the notifications are persistently displayed irrespective of user input until a specific command to dismiss the notifications is transmitted by the notification subsystem. The notifications can also be dynamically escalated based on proximity to the predicted network service change.

Abstract: A wireless telecommunication network is configured to scale and transition usage limits of network services for subscriber devices connected thereto. For an intermediate time period following a subscriber failing to satisfy a service condition related to the network services, the wireless telecommunication network partially limits an Internet Protocol (IP) network connectivity service for subscriber devices associated with the subscriber using a firewall. In particular, the wireless telecommunication network configures the firewall to redirect Domain Name System (DNS) queries from the subscriber devices to whitelisted webpages of a quarantine IP domain. The whitelisted webpages are configured to enable users of the subscriber devices to resolve the subscriber's failure to satisfy the service condition.

Abstract: Operation and management of a wireless telecommunication network is improved via reducing and preventing service condition faults by subscribers. Service condition faults occur when a subscriber fails to satisfy service conditions or requirements for receiving network services provided by the wireless telecommunication network. Service conditions faults can be intelligently reduced or prevented based on adjusting network service parameters or configurations for a subscriber in a manner that reduces a magnitude and/or volume of service conditions for the subscriber. A wireless telecommunication network implements a machine learning (ML) model that uses subscriber-specific data to classify a recurrence likelihood of the subscriber and a service condition fault, and based on the classification, select modified network service parameters or configurations to implement specifically for the subscriber.

Abstract: Computer-assisted configuration of compute resource to perform tasks of a given inference task type. For each of multiple model combinations, the computing system estimates 1) a compute level that can perform tasks of the given inference type using the model combination, and 2) an accuracy of the model combination in performing tasks of the given inference task type. The computing system then selects a model combination for the given inference task type based on the estimated compute level of the model combination and the estimated accuracy of the model combination. In response to the selection, an inference component is configured to respond to task requests of the given inference task type by using the selected model combination. Scheduling using batch size and input size may further improve accuracy and efficiency of the model combination.