332 results about "Machine-readable medium" patented technology

Methods, systems, and machine-readable mediums to encode at least one vector associated with a log using a neural network. In at least one embodiment, a processor is to encode at least one log message using at least one neural network trained, at least in part, by: obtaining a similarity score associated with a first vector and a second vector, the first vector to be associated with one or more first log messages, and the second vector to be associated with one or more second log messages; generating at least one similarity value indicating similarity between the first vector and the second vector; and determining a metric indicating similarity between the similarity score and the at least one similarity value.

Methods, systems, and machine-readable mediums to perform a neural network to encode log data. In at least one embodiment, a processor comprising one or more circuits to encode at least one log message, at least in part, by encoding a first type of information in the at least one log message to obtain a first encoding, encoding a second type of information in the at least one log message to obtain a second encoding, and obtaining a resultant encoding at least in part by combing at least the first and second encodings.

Systems, methods, and non-transitory, machine-readable media may facilitate adaptive resource capacity prediction and control using cloud infrastructures with a capacity prediction interface. Specifications of resource allocations for resources provided by a cloud infrastructure system may be collected. Observation data may be collected and may include resource metrics data. Prediction rules may be selected as a function of particular resource metrics. A subset of the resources may be identified. The selected prediction rules may be used to predict resource capacities for the subset of the resources as a function of the particular resource metrics and generate resource capacity predictions. Incidents may be identified based on the resource capacity predictions. A capacity prediction interface may be generated and may be configured to represent the resource capacity predictions and facilitate preemptive actions with respect to the incidents identified based on the resource capacity predictions.

Methods, systems, and machine-readable mediums to encode at least one vector associated with a log using a neural network. In at least one embodiment, a neural network is trained, at least in part, by obtaining first, second, and third encoded vectors by encoding a first vector associated with a first log sequence, a second vector associated with a second log sequence similar to the first log sequence, and a third vector associated with a third log sequence dissimilar from the first log sequence; and selecting at least one model weight that increases a likelihood that the first encoded vector is closer to the second encoded vector than the third encoded vector.

Methods, systems, and machine-readable mediums that enhance transaction authentication of a transaction of a first application by checking that a state of one or more other applications matches prespecified states or that one or more of those applications transition states within a prespecified period of time. For example, the prespecified states may correspond to the application being installed on a specified device (e.g., of the user) and having an authenticated session with a specified user.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for automating the recording of an evidentiary history (e.g., versions audit trail) of a graphical user interface with an embedded clickwrap agreement. The snapshot server captures and outputs snapshot records of a graphical user interface displaying the click-wrap agreement on an end user computing platform. The snapshot records are created using a virtual machine that emulates an end user computing platform for navigation of an application rendered on the platform. Aspects may also include generating a snapshot record of metadata associated with the captured snapshot image.

Methods, systems, and machine-readable mediums to perform a neural network to classify one or more logs. In at least one embodiment, a processor comprising one or more circuits to classify one or more log entries to obtain one or more classified log entries, obtain combined information at least in part by combing at least the one or more classified log entries and telemetry information, and use at least one machine learning process to classify the combined information.

Methods, systems, and machine-readable mediums that enhance transaction authentication of a transaction of a first application by checking that a state of one or more other applications matches prespecified states or that one or more of those applications transition states within a prespecified period of time. For example, the prespecified states may correspond to the application being installed on a specified device (e.g., of the user) and having an authenticated session with a specified user.

Embodiments described herein provide for a non-transitory machine-readable medium storing instructions to cause one or more processor to perform operations to share a set of keys used to communicate with a wireless accessory device. By sharing the set of keys, functionality of the wireless accessory device can be delegated by an owner to other individuals.

Methods, systems, and machine-readable mediums that enhance transaction authentication of a transaction of a first application by checking that a state of one or more other applications matches prespecified states or that one or more of those applications transition states within a prespecified period of time. For example, the prespecified states may correspond to the application being installed on a specified device (e.g., of the user) and having an authenticated session with a specified user.

Systems, methods, and non-transitory, machine-readable media may facilitate testing within sub-environments with respect to resource capacity data corresponding to resources. Specifications of resource allocations for resources may be collected. Observation data, including resource metrics data, may be consolidated and used to develop resource data composites with mapped resource metrics data. A sub-environment interface may be configured to allow creation of sub-environments based on the resource data composites. Source schemas and data structures corresponding to the resource data composites may be selected. A migration plan to migrate the selected data structures to a destination schema for testing in a sub-environment may be created. A migration according to the migration plan may be executed. The destination schema may be created to match the selected source data structures and the selected source schemas. The selected data structures may be migrated to the destination schema to allow for testing in the sub-environment.

The apparatus of an edge computing node, a system, a method and a machine-readable medium. The apparatus includes a processor to perform rounds of federated machine learning training including: processing client reports from a plurality of clients of the edge computing network; selecting a candidate set of clients from the plurality of clients for an epoch of the federated machine learning training; causing a global model to be sent to the candidate set of clients; and performing the federated machine learning training on the candidate set of clients. The processor may perform rounds of federated machine learning training including: obtaining coded training data from each of the selected clients; and performing machine learning training on the coded training data.

Methods, systems, and machine-readable mediums that enhance transaction authentication of a transaction of a first application by checking that a state of one or more other applications matches prespecified states or that one or more of those applications transition states within a prespecified period of time. For example, the prespecified states may correspond to the application being installed on a specified device (e.g., of the user) and having an authenticated session with a specified user.

Various aspects of the subject technology relate to methods, systems, and machine-readable media for generating executable programming code for a communications session flow. Various aspects may include providing, by a communications session handling system, a visual programming environment for developing a communications session flow. Aspects may also include adding, via a canvas of the visual programming environment, graphical programming objects to the communications session flow. Aspects may also include associating the graphical programming objects by links representing a directional dependency between pairs of graphical programming objects. Aspects may also include configuring a parameter of a graphical programming object. Aspects may also include determining, based on at least the graphical programming objects and the links, a validity of a functionality of the communications session flow. Aspects may also include generating, based on the validity of the communications session flow, an executable programming code implementing the functionality of the communications session flow.

Systems, devices, methods, and machine-readable media configured to provide voice synthetization in a multiplayer video game are provided. A system can include a multiplayer video game including a character selection interface through which a player selects a character to represent them in playing the video game, and a voice model trained to convert audio from the player directly into audio in a voice of the character and provide an output that includes the audio in the voice of the character.

Provided is a tangible, non-transitory, machine readable medium storing instructions that when executed by a processor effectuates operations including: capturing, with at least one exteroceptive sensor, readings of an environment and capturing, with at least one proprioceptive sensor, readings indicative of displacement of a wheeled device; estimating, with the processor using an ensemble of simulated positions of possible new locations of the wheeled device, the readings of the environment, and the readings indicative of displacement, a corrected position of the wheeled device to replace a last known position of the wheeled device; determining, by the processor using the readings of the exteroceptive sensor, a most feasible position of the wheeled device as the corrected position; and, transmitting, by the processor, status information of tasks performed by the wheeled device to an external processor, wherein the status information initiates a second wheeled device to perform a second task.

Embodiments described herein provide for a system, a non-transitory machine-readable medium, and methods to provide location services. In an embodiment, a method provides receiving at least one indication that an electronic device is in transit to at least one defined location, establishing a first fence boundary for the at least one defined location, receiving an indication that the electronic device has crossed the first fence boundary and is in transit to a defined location, and establishing a second fence for the defined location, where the second fence provides a finer granularity fence for the defined location than the first fence.

The embodiment of the invention provides a primitive processing method, electronic equipment, a machine readable medium and a program product, and relates to the technical field of graphic processing.The method comprises the steps that an equation coefficient of a cutting plane equation of a target cutting plane is obtained, and vertex coordinates of vertexes in a to-be-cut primitive are obtained; the target cutting plane is any one currently enabled cutting plane. Generating a target loading instruction for the equation coefficient and the vertex coordinate; the target loading instruction is used for instructing the GPU to load the equation coefficient and the vertex coordinate into a preset register. Generating a target calculation instruction based on a preset register; the target calculation instruction is used for instructing the GPU to calculate a target distance between the vertex and the target cutting plane based on an equation coefficient in a preset register and the vertex coordinates. And executing the target loading instruction and the target calculation instruction by an original calculation unit in the GPU to obtain a target distance. Therefore, the circuit overhead and the implementation cost can be reduced.

Methods, systems, and machine-readable media user generative artificial intelligence (AI) to generate a pre-work brief for display on a field service technician mobile device. An instruction to generate a pre-work brief is received. Work order data based on a field service technician user identifier associated with the instruction to generate the pre-work brief is retrieved. A generative AI prompt template is retrieved based on the work order data. A generative AI prompt is generated based on the prompt template and the work order data. The prompt is provided to a generative AI. The pre-work brief is received as an output of the generative AI. The pre-work brief is transmitted to the mobile device of the field service technician.

Methods, systems, and machine-readable mediums to perform a neural network to encode log data. In at least one embodiment, a processor comprising one or more circuits to encode at least one log message, at least in part, by encoding a first type of information in the at least one log message to obtain a first encoding, encoding a second type of information in the at least one log message to obtain a second encoding, and obtaining a resultant encoding at least in part by combing at least the first and second encodings.

One or more non-transitory machine-readable media to store data and instructions executable by one or more processors. The instructions are programmed to analyze workflow data for a given phase of a plurality of phases of an ongoing electrophysiology (EP) workflow implemented using a first computing apparatus. The instructions can also determine at least one support event based on the analysis of the workflow data and send a request to at least one remote support specialist responsive to determining the at least one support event. The instructions further can establish a communication link between the first computing apparatus and a second computing apparatus, which is associated with a respective remote support specialist, and enable user interaction with and control of the machine-readable EP workflow instructions on the first computing apparatus responsive to a user input by the respective remote support specialist at the second computing apparatus.

Systems, methods, and machine-readable media may facilitate programmable data trimming. Metadata associated with a collective operation may be determined by an application of a server. The metadata may specify a job identifier corresponding to a unit of work to be completed in conjunction with the collective operation, a collective type of the collective operation, and / or an ordering mode for packets corresponding to the collective operation. The metadata associated with the collective operation may be sent by the application to a network interface card (NIC). The NIC may be caused by the application to transmit a data packet with the metadata embedded in a cookie of the data packet to a switch of a network fabric to cause the switch to use a selected network path and / or selected load-balancing for the collective operation based on one or more of the job identifier, the collective type, and / or the ordering mode.

Provided is an apparatus including interface circuitry, machine-readable instructions, and processing circuitry to execute the machine-readable instructions to decide on a migration of a workload from a first trusted execution environment (TEE) to a second TEE according to a migration policy. The migration policy is embedded into support infrastructure of the first TEE.

Methods, systems, and machine-readable mediums that enhance transaction authentication of a transaction of a first application by checking that a state of one or more other applications matches prespecified states or that one or more of those applications transition states within a prespecified period of time. For example, the prespecified states may correspond to the application being installed on a specified device (e.g., of the user) and having an authenticated session with a specified user.

A method, computing device, and non-transitory machine-readable medium for implementing a client-controllable bypass mechanism for directly writing to object based storage. In one or more embodiments, a write request for writing data to a volume is received from a client in which the volume represents both first storage within a first storage tier and second storage within a second storage tier. A determination is made that a bypass write mode is enabled for the volume in which the bypass write mode allows directly assigning the data to the second storage tier. A set of objects is built for the data in which the data is stored in a transfer data structure in the first storage tier. The set of objects, which includes the data in the transfer data structure, is sent to the second storage tier.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for selective encryption in a shared artificial reality environment. Various aspects may include determining contextual information of the shared artificial reality environment. Aspects may also include encrypting communication in the environment into encrypted channels and non-encrypted channels based on the contextual information. Aspects may also include determining a correlation between the encrypted channels and the non-encrypted channels. Aspects may also include applying, based on the correlation, a partial encryption to the non-encrypted channels for obscuring a cryptographic code of the communication. Aspects may include determining a recombination of the encrypted channels and the non-encrypted channels based on clock skew.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for improving the privacy of transfers in a distributed ledger. Various aspects may include creating account state commitments for a transaction including at least an encrypted amount and the account state commitment. Aspects may also include receiving the transaction and storing the account state commitment in a first data structure. Aspects may also include determining an encrypted balance for a receiver based on the encrypted amount included in the transaction. Aspects may also include storing, in a second data structure, the encrypted balance mapped to a public key of the user. Aspects may also include atomically updating an encrypted outgoing balance of the user and a current encrypted balance of the receiver according to the transaction.

Certain exemplary embodiments can provide a system, machine, device, manufacture, circuit, and / or user interface adapted for and / or resulting from, and / or a method and / or machine-readable medium comprising machine-implementable instructions for, activities that can comprise and / or relate to, generating a reminder conditional upon a proximity of one mobile device to another.

Disclosed in some examples are methods, systems, and machine-readable mediums that enhance the efficiency and continuity of network-based communication sessions by automatically linking related communication sessions. This system may utilize a set of one or more criteria to determine the relationships between communication sessions intelligently and automatically. The criteria may include temporal proximity of the sessions, commonality of attendees, similarities in communication session content and / or topics discussed (e.g., determined from titles, metadata, shared documents, agendas, and thematic content derived from titles or agendas), historical behavior patterns, and / or the like. Additionally, the system allows for manual linking by an organizer, participant, and / or administrator.

A method, computing device, and non-transitory machine-readable medium for managing incoming / outgoing flow through a staging area. A request to write data to an object based storage is received. A determination is made that the data is to be first staged within a transfer data structure. The transfer data structure is in a first storage tier and the object based storage is in a second storage tier. A determination is made that an amount of storage space used in the transfer data structure exceeds a start throttle threshold. In response to the determination that the amount of storage space exceeds the start throttle threshold, the request is sent into a queue selected from a set of throttling queues, wherein requests in the queue are handled in a first in, first out (FIFO) order. The request in the queue is processed based on the FIFO order and a dynamic throttle rate.