Abstract: Various embodiments include methods for implementing a multi-bank memory refresh command on memory devices. A memory controller may select a number of memory banks to refresh in a refresh cycle, select a first memory bank to refresh, and send the memory device a multi-bank of memory refresh command that encodes the number of memory banks and the first memory bank to refresh. The memory device may recognize the multi-bank memory refresh command based on signals received over a number of clock cycles, decode the command to identify the number of memory banks to refreshed and the first memory bank to refresh, and then refresh the identified number of memory banks starting from the identified first memory bank.

Abstract: The technical solution provides automated generating of customized applications using ledger metadata templates with user-defined elements for the customized application. The solution can identify a ledger comprising a plurality of parameters for a plurality of elements of an application and construct a plurality of metadata corresponding to the plurality of elements using the plurality of parameters. The solution can adjust, based on a validation rule for an element, a metadata corresponding to the element. The solution can select a plurality of functions corresponding to the plurality of elements and generate, using the plurality of functions, a version of the application configured based at least on the plurality of metadata comprising the adjusted metadata.

Abstract: A decoder includes circuitry and memory coupled to the circuitry. In operation, the circuitry: decodes a plurality of sets of neural network information each of which identifies a neural network filter; decodes, from one access unit, two or more sets of activation information each of which specifies one set of neural network information among the plurality of sets of neural network information; and applies, to one picture, two or more neural network filters identified by two or more sets of neural network information specified by the two or more sets of activation information.

Abstract: A processing unit including a dynamically allocatable vector register file for non-vector instruction processing is disclosed. The processing unit includes an integer execution circuit and integer register file for processing integer instructions. The processing unit also includes a vector execution circuit and a vector register file for processing vector instructions. The integer and vector register files are each sized at design time. A processing unit may be called upon to execute varying workloads that vary between integer and vector operations. Rather than statically dedicating the entire vector register file to vector registers, the processor is configured to dynamically allocate a portion(s) of the vector registers in the vector register file for use in the execution of integer instructions.

Abstract: Methods, systems, and devices for data management are described. A first procedure for capturing first point-in-time data for a data object may be performed and may include initiating a first type of operation to back up the first point-in-time data, the first operation being native to the data object and enabling sections of files to be backed up in parallel on a per-section basis. A second procedure for restoring the first point-in-time data to the computing system may also be performed. Performing the second procedure may include executing, based on recreating the first point-in-time data, the first type of operation to backup sections of first files of the first point-in-time data in parallel on the per-section basis to the computing system. And further include initiating a second type of operation to restore second files of the first point-int-time data in parallel on a per-file basis to the computing system.

Abstract: In aspects of providing user feedback via a rollable screen device, a mobile device has a housing and a screen moveable relative to the housing such that the mobile device has a compact form factor and an expanded form factor. The mobile device includes one or more sensors positioned relative to the screen for detecting user input including one or more forces applied to an expanded portion of the screen, where the expanded portion of the screen has extended from a compact portion of the screen. The mobile device implements a configuration manager configured to activate one or more components of the mobile device to indicate that the mobile device received the user input based on the one or more forces satisfying a threshold value.

Abstract: Charging initiation methods for flow batteries, controllers for flow batteries and flow battery systems are disclosed. A charging initiation method for a flow battery which allows charging of the flow battery from an AC power supply with a power converter having a minimum operational DC voltage is described. Details of the flow battery construction are provided. The charging initiation method so described includes a pre-charging initiation condition that varies depending on a DC voltage threshold or a current threshold.

Abstract: Certain aspects of the present disclosure provide techniques for improving sidelink positioning via messaging between wireless nodes, e.g., roadside service units (RSUs). A method that may be performed by a user equipment (UE) includes receiving a first positioning reference signal (PRS) from a first wireless node, receiving a second PRS from a second wireless node, receiving, from the first wireless node, an estimate of a first clock error component between the first wireless node and the second wireless node, and estimating a position of the UE, based on the first PRS, the second PRS, and the estimate of the first clock error component.

Abstract: Heavy polycyclic aromatic hydrocarbons (HPAHs) are analyzed using aromatic-selective size exclusion chromatography for the separation and quantitation of HPAHs. This method is suitable to determine the concentration of HPAHs in mixtures that include coronene and other HPAHs including 8 or more rings, such as contained in hydrocracker bottoms, or in pyrolysis oil or tar.

Abstract: A network function virtualization (NFV) orchestration service includes a centralized orchestration device and a multi-cluster container management (MCCM) platform. The centralized orchestration device stores a catalog of virtual network function descriptors (VNFDs) in an input language; generates, based on the catalog of VNFDs, intents for containerized network function (CNF) services; and stores the generated intents as blocks in a central intent database, wherein the blocks include an input data model for the CNF services. The MCCM platform includes one or more processors to receive and store a copy of the intent database; read design time policies from the copy of the intent database; and convert the input data model into a vendor-specific output data model in an output language.

Abstract: Techniques are disclosed to establish trust in a cluster of edge devices. An edge device cloud service can associate a first cloud-computing edge device with a fleet of cloud-computing edge devices and provision the first cloud-computing edge device with a master encryption key. The edge device cloud service can associate a second cloud-computing edge device with the fleet and provision the second cloud-computing edge device with the master encryption key and the first public encryption key. The first cloud-computing edge device can receive from the second cloud-computing edge device encrypted message data comprising the second public encryption key. The first cloud-computing edge device can decrypt the encrypted message data using the master encryption key stored in the first key store and update the first key store with the second public encryption key.

Abstract: Methods, systems, and devices for wireless communications are described. A network entity may obtain a first message indicating one or more artificial intelligence (AI)/machine learning (ML) capabilities of a user equipment (UE) and may further obtain, from an AI/ML service, a second message indicating one or more AI/ML service capabilities of the AI/ML service. The network entity may output a control message indicating one or more cross-node AI/ML configurations based on the one or more AI/ML capabilities of the UE and the one or more AI/ML service capabilities of the AI/ML service. The one or more cross-node AI/ML configurations may configure AI/ML functions of the UE for use with the AI/ML service. In some examples, life cycle management (LCM) procedures may be triggered by a UE, and the UE may transmit signaling associated with the LCM procedures (e.g., a request for LCM signaling or an indication of LCM).

Abstract: A first network device may create a port group for a plurality of links directly connected to a second network device, and may select the first network device as a controller network device and the second network device as a worker network device. The first network device may rank the plurality of links of the port group to generate a list of ranked links, and may select, from the list of ranked links, a highest ranked link as a control channel. The first network device may power off one or more of the plurality of links, except the control channel, based on one of a configuration, a policy, or a traffic prediction, and may identify a termination of a time period associated with powering off the one or more of the plurality of links. The first network device may power on the one or more of the plurality of links based on the termination of the time period.

Abstract: The technology generally relates to providing search results that include a recommendation to install an application that can provide content relevant to the search query. A search query for content submitted by a user device may be received by a search server. The search server may identify an indexed web resource that satisfies the search query. The identified indexed web resource may be identified as being accessible by an application. The search server may determine the application is not installed on the user device. Based on determining the application is not installed on the user device, provide a link to an installation location for the application to the user device in response to the search query.

Abstract: Systems and methods for determining digital trust of a device and a user for access permission include monitoring a client device and its access to a network and to resources connected to the network; analyzing behavior-based factors and posture-based factors to determine a digital trust rating at a given time for the client device, wherein the posture-based factors include a rating of certificates associated with the client device and a rating of a Domain Name System (DNS) server associated with the client device; and providing the digital trust rating at the given time for the client device for use in access permission of the client device to the network and/or to the resources.

Abstract: The present invention provides solution to the above-mentioned problem in the art by providing a system and a method for an efficient and adaptive disease prediction system as a part of an expert-based online AI symptom-checker. The system may diagnose a wide variety of diseases accurately in an under 3-minute chatbot based conversation. The system architecture comprises of state-based components namely dialogue, patient, utterance, disease and symptom state. The disease prediction module may use a complex knowledge graph coupled with the state information to predict disease scores, predict disease scores based on various factors such as symptom coverage, relative disease importance, diseases priors, risk factors, lab tests, body organs and body systems and further provide mechanisms to arrive at a convergence based on factors such as confidence scores, questions asked and the like.

Abstract: A hardware reconfiguration system for first and second devices is in a lock-step configuration using a comparator that provides a lock-step error indication. The system includes at least one register that stores a lock-step threshold. The system also includes a lock-step monitor configured to compare a count of occurrences of the lock-step error indication from the comparator with the lock-step threshold. When the lock-step threshold is reached, the lock-step monitor is configured to enter a repair state to determine which one of the first and second devices is operating correctly and reconfigure operation into a split-lock mode to resume operation using the one of the first and second devices that is operating correctly.

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: 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: The present invention relates to a low-noise bandgap reference voltage generator (100) for generating constant bandgap reference voltage, bandgap generator (102) configured to provide a reference signal; voltage generator (108) configured to, generate low noise bandgap reference voltage, produce a complementary to absolute temperature voltage at a reference voltage; comparator (114) configured to compare reference signal generated and low noise bandgap reference voltage for generating control signal; a digital logic (116) configured to generate digital data, includes a binary search module (702) configured to perform a binary search on the digital data when the generator (100) initially powered, a random number module (708) configured to generate a random number, a counter (710) configured to count up to the random number and powered up the bandgap generator (102) and a linear search module (712) configured to generate digital data by performing linear search on digital data and method for the same.