Abstract: A power gating circuit for a memory includes a plurality of header switches, the plurality of header switches comprising: a first transistor having a source tied to an external power supply line; and a second transistor coupled to a drain of the first transistor and having its own drain coupled to an internal voltage line of the memory, wherein the second transistor is structured to be used as a transistor or a diode based on control of a gate of the second transistor; and a selection device coupled to the gate of the second transistor to controllably couple the gate of the second transistor in a first state to the drain of the second transistor for diode operation and in a second state to a second voltage line for transistor operation.

Abstract: A read circuitry for memory includes a column read-out multiplexer (MUX) coupled to a set of columns of the memory, wherein the column read-out MUX receives a column select signal from a control circuit to output a corresponding column output from the set of columns; and a single sense amplifier coupled to receive the corresponding column output of the column read-out MUX.

Abstract: Control circuitry for memory includes a state machine including a number of state elements corresponding to a maximum number of available columns of a blast operation for memory; a set of registers including a corresponding register for each state element; and a column selection control circuit that combines outputs of the state machine and the set of registers to trigger an appropriate column during an appropriate clock cycle, available at a start of a corresponding clock cycle. The state machine receives a clock and various inputs associated with a start of memory operations and provides intermediate state element outputs and a final state element output as the outputs. Each register of the set of registers is available to store, from an address enable signal, a value indicating that a column in memory to which that register corresponds is to be accessed.

Abstract: A write circuitry may include a first write driver and at least one additional write driver for a set of bitlines coupled to bitcells of a memory; column select circuitry; a first storage element coupled to an input data pin to receive data for storing in the memory; and at least one additional storage element coupled in series with the first storage element. The first storage element and each of the at least one additional storage element are also coupled to a corresponding write driver. The column select circuitry may include a first column select circuitry for the first write driver that selects from a first subset of the set of bitlines; and a second column select circuitry for a second write driver that selects from a second subset of the set of bitlines, where the first subset and the second subset are overlapping sets.

Abstract: Systems and methods for floor plan generation for device visualization and use are disclosed. For example, image data may be utilized to segment a building from non-building elements in an image, and the outline of the building may be utilized to generate a floor plan of the building. A user interface may be generated to present the floor plan and allow for placement of representations of walls, doors, windows, and electronic devices within the floor plan. Placement of these elements may be performed in response to input from a user and/or may be performed automatically utilizing naming indicators, device-affinity data, historical usage data, signal-strength data, etc. Once placed, the device representations may be utilized to operate the devices and display related information, such as alerts.

Abstract: Techniques for intelligent system optimization are provided. Capacity data of one or more exit devices at a physical location is received. Demand data that indicates a current demand for exit service at the physical location is received from one or more monitoring devices. A decision is generated based on the capacity data and the demand data using a machine learning (ML) model. Commands corresponding to the decision are transmitted to the one or more exit devices for implementation.

Abstract: Systems and methods for intelligent device grouping are disclosed. An environment, such as a home, may have a number of voice-enabled devices and accessory devices that may be controlled by the voice-enabled devices. One or more models, such as linguistics model(s) and/or device affinity models may be utilized to determine which accessory devices are candidates for inclusion in a device group, and a recommendation for grouping the devices may be provided. Device-group naming recommendations may also be generated and may be sent to users.

Abstract: Systems, methods, and instrumentalities are described herein in association with group sparsity and implicit regularization for MIMO channel estimation. For example, a channel matrix (e.g., MIMO channel matrix) may have a group sparse property. The group sparse property may be used in channel estimation applications. For example, the group sparse property in MIMO channel matrices may be used with non-convex operations to perform matrix completion. Matrix completion may be performed to determine an unknown channel matrix, for example, using limited entries (e.g., noisy entries).

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for managing computing systems to classify and modify digital content items to satisfy digital data requirements of data policies. For example, the content classification system validates, enforces, and remediates digital data content corresponding to digital data requirements of a data policy based on data types covered by the data policy. The disclosed systems generate classifications for digital content items by accessing digital content items and generating mappings between the digital content items and a data policy. The disclosed systems utilize the mappings and digital data requirements of the data policy to determine whether the digital content items violate one or more elements of the data policy. The disclosed systems can perform various downstream operations to remediate the data policy violations, such as by causing various computing devices to modify the violating digital content items.

Abstract: According to an embodiment, a digital circuit with N number of redundant flip-flops is provided, each having a data input coupled to a common data signal. The digital circuit operates in a functional mode and a test mode. During test mode, a first flip-flop is arranged as part of a test path and N?1 flip-flops are arranged as shadow logic. A test pattern at the common data signal is provided and a test output signal is observed at an output terminal of the first flip-flop to determine faults within a test path of the first flip-flop. At the same cycle, the test output signals of each of the N?1 number of redundant flip-flops is observed through the functional path to determine faults.

Abstract: According to an embodiment, a digital circuit with N number of redundant flip-flops is provided, each having a data input coupled to a common data signal. The digital circuit operates in a functional mode and a test mode. During test mode, a first flip-flop is arranged as part of a test path and N-1 flip-flops are arranged as shadow logic. A test pattern at the common data signal is provided and a test output signal is observed at an output terminal of the first flip-flop to determine faults within a test path of the first flip-flop. At the same cycle, the test output signals of each of the N-1 number of redundant flip-flops is observed through the functional path to determine faults.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may obtain hybrid automatic repeat request (HARQ) information indicating whether the network node is configured to perform a retransmission of decoding information prior to an end of HARQ processes associated with the network node. The UE may receive, for a HARQ process associated with a downlink communication from the network node, a retransmission of a transport block (TB) that is associated with a reserved MCS when full decoding information for the TB is unavailable. The UE may perform, based on a reception of a retransmission, an action to proceed with the HARQ process, to restart the HARQ process, or to terminate the HARQ process, wherein the action is based on whether the network node is configured to perform the retransmission of the indication of the MCS. Numerous other aspects are described.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may identify that uplink data is available for transmission at the UE prior to a scheduling request occasion. The UE may skip transmission of a scheduling request during the scheduling request occasion based on identifying that an uplink grant is pending. The UE may transmit at least a portion of the uplink data to a base station using a resource allocation indicated by the uplink grant. Alternatively, the UE may transmit the scheduling request to the base station during a first scheduling request occasion. The UE may initiate a retransmission timer based on transmitting the scheduling request. Accordingly, the UE may skip retransmission of the scheduling request during a second scheduling request occasion that is subsequent to the first scheduling request occasion based on the retransmission timer.

Abstract: Systems and methods for activity-based device recommendations are disclosed. For example, historical usage data associated with a device may indicate that the device is likely to be associated with a given state at a given time. When the device is not in the anticipated state, a recommendation to transition the device state, for example, may be sent. Additionally, a determination of the activity state associated with the device, such as an active state, an asleep state, and/or an away state may be utilized to determine the recommendation to surface, to determine whether to send a recommendation, and when and/or how to send the recommendation.

Abstract: A system can receive a first set of data. The first set of data can include information indicating a first set of user sessions and for each of the first set of user sessions having an associated summary and a corresponding agent indicated intent. The system can also, based on the first set of data, determine a set of utterances and for each of the set of utterances a corresponding set of intents. Additionally, the system can receive a second set of data. The second set of data including information indicating a second set of user sessions and for each of the second set of user sessions having an associated determined utterance and corresponding interaction of a user. Moreover, the system can validate a corresponding intent of one or more utterances of the set of utterances, based on the second set of data.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine, for a radio associated with the UE, an energy usage in a past transmit interval. The UE may determine, for the radio, a requested usage-aware energy reservation based at least in part on the energy usage in the past transmit interval. The UE may assign, for a next transmit interval, an energy budget limit for the radio based at least in part on the requested usage-aware energy reservation. The UE may transmit, via the radio, an uplink transmission based at least in part on the energy budget limit. Numerous other aspects are described.

Abstract: Systems and methods for activity-based device recommendations are disclosed. For example, historical usage data associated with a device may indicate that the device is likely to be associated with a given state at a given time. When the device is not in the anticipated state, a recommendation to transition the device state, for example, may be sent. Additionally, a determination of the activity state associated with the device, such as an active state, an asleep state, and/or an away state may be utilized to determine the recommendation to surface, to determine whether to send a recommendation, and when and/or how to send the recommendation.

Abstract: A system and a method to create clusters in an area are disclosed. Initially, a set of location data points associated with a plurality of user devices in an area and a defined block area are received. Further, a rectangular boundary is created by connecting a first reference point, a second reference point, a third reference point, and a fourth reference point identified based on a latitude and a longitude of each user device. Furthermore, a set of blocks are created by dividing the rectangular boundary based on the defined block area. The set of blocks are sorted based on a number of location data points present in each block. Subsequently, the set of blocks are reconfigured by determining a centroid of a plurality of location data points present in each block. Finally, a plurality of clusters is created in the area upon marking the reconfigured set of blocks.

Abstract: Certain aspects of the present disclosure provide techniques for configuring a device-configured split data threshold for utilizing split data radio bearers (DRBs). A method that may be performed at a user equipment (UE) includes setting a device-configured split data threshold to a value that is less than or equal to a network-configured split data threshold value in response to the network-configured split data threshold value being greater than a first buffer threshold value associated with a data buffer of the UE, monitoring an amount of data in the data buffer, and triggering a first scheduling request (SR) associated with a first communication link and a second SR associated with a second communication link in response to the amount of data in the data buffer being greater than the device-configured split data threshold value.

Abstract: A method performing an agricultural task on a field, the method comprising: identifying a number of plants in the field on a per unit area; determining a field pattern of plant maintenance for the plants in the field, the field pattern comprising: a planting instruction for travel in a first direction; and a plant maintenance instruction for travel in a second direction which is not parallel to the first direction, the plant maintenance instruction generated using at least one parameter corresponding to the number of plants in the field on a per unit area.