210 results about "Machine-readable medium" patented technology

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.

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.

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.

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.

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.

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.

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.

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, devices, and machine-readable mediums which create various data visualizations from a corpus of raw data collected from one or more sources. For example, natural language text documents of a corpus may be classified based upon the topic of the data. The documents may be labeled with the phase during which the documents were collected or observed. A visualization may then be generated which shows a correlation between the phase and the topics observed. For example, a number of times a particular topic appeared in a particular phase. The visualization may be two-dimensional, three-dimensional, or the like.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for generating a heterogeneous network of blockchains. The method includes generating a platform blockchain having a single replicated state machine. The method includes generating at least one subnet based in part on the platform blockchain, the subnet including at least one blockchain, the generating causing bonding or burning of a base asset of the platform blockchain. The method includes specifying validators for the at least one subnet. The platform blockchain includes a source of truth for transactions across the subnets.

Systems, methods, and machine-readable media to migrate data from source databases to target databases are disclosed. Data may be received, relating to the source databases and the target databases. For each source database, a migration assessment may be generated based on analyzing the data, and a migration method may be selected. A migration plan that specifies a parallel migration of a set of databases to the target databases may be created, with a first migration method to migrate a first subset of the set of databases and a second migration method to migrate a second subset of the set of databases. The parallel migration may be executed according to the migration plan may be caused so that the first subset of the set of databases is migrated with the first migration method while the second subset of the set of databases is migrated with the second migration method.

Disclosed in some examples are methods, systems, devices, and machine-readable mediums which create various data visualizations from a corpus of raw data collected from one or more sources. For example, natural language text documents of a corpus may be classified based upon the topic of the data. The documents may be labeled with the phase during which the documents were collected or observed. A visualization may then be generated which shows a correlation between the phase and the topics observed. For example, a number of times a particular topic appeared in a particular phase. The visualization may be two-dimensional, three-dimensional, or the like.

Systems, methods, and machine-readable media to facilitate installation and adjustment of railway components are disclosed. Aligning of a railway anchor manipulator and a railway fastener installer with respect to a railway tie may be caused. The railway anchor manipulator may be slidably coupled with a frame assembly of a railway workhead, and may include anchor tools. The railway fastener installer may be slidably coupled with the main shaft structure, may include a hammer assembly, and may be operable to install railway fasteners through holes of a railway tie plate. The railway fastener installer may be caused to install the railway fasteners. The railway anchor manipulator may be lowered to a deployed position, and railway anchors may be adjusted with the anchor tools.

A machine-readable medium stores instructions that, when executed by a processor, cause the processor to execute operations. The operations include receiving information identifying a database table and preprocessing the table. The preprocessing includes extracting primary and foreign key relationships and generating sample data by combining frequency-based sampling of common values with random sampling. The operations also include generating, using an LLM, a unified metadata schema. The generating includes processing the table and the sample data using domain-specific prompts and outputting the unified metadata schema. The operations include embedding and indexing the unified metadata schema and converting a natural language question output from an end-user device into a SQL query. The converting includes identifying relevant metadata in the unified metadata schema matching query intent and generating the SQL query using the filtered metadata. The operations also include executing the SQL query and providing query results to the end-user device.

Methods, systems, and machine-readable media perform a search of field service records in a datastore using generative artificial intelligence (AI). An utterance requesting a search of field service records is received from a user device. The generative AI selects one or more actions with which to process the user utterance. The generative AI also resolves a datetime range. A field service record data query language (DQL) query is built based on the selected one or more actions and the datetime range. The DQL query is executed on a field service record datastore to receive a list of field service records, which are then transmitted to the user device responsive to the utterance. The generative AI can also be used to format the field service records for display before transmitting to the user device. Generative AI hallucinations and inaccuracies are avoided in the search results.

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.

Disclosed in some examples are methods, systems, and machine-readable medium that enable a seamless handoff of authentication states between an application of a first service (e.g., a web-application) and a component of the first service that invokes a function within the second application (e.g., such as bots or agents of the first service executing within collaborative platforms of a second service). This may be accomplished through the use of a link that encodes a nonce.

A method of decoding and / or encoding video data is provided. The method includes: receiving the video data; determining a chroma block unit from an image frame of the video data; determining a guiding block vector of the chroma block unit; determining a first chroma relocated block that is indicated by the guiding block vector, of the chroma block unit, that starts from the chroma block unit; determining a first relocated cross-component prediction (CCP) filter based on a first relocated position of the first chroma relocated block, where the first relocated CCP filter is one of a plurality of CCP relocated candidates in a CPP relocated list of the chroma block unit; and reconstructing the chroma block unit based on the CCP relocated list of the chroma block unit. Furthermore, an electronic device and a non-transitory machine-readable medium of an electronic device using the method are also provided.

Systems, devices, methods, and machine-readable media configured to provide voice inference in a video game are provided. A video game system can include an encoder configured to generate a first encoding representative of physical characteristics of a specified entity, a similarity operator configured to determine similarity values between (i) corresponding stored encodings of multiple characters, the stored encodings representative of physical characteristics of respective characters of the multiple characters and (ii) the first encoding, identify a selected character from the multiple characters based on the similarity values, and provide an identifier of the selected character, a voice database configured to provide audio or a spectrogram of the selected character, and a video game configured to provide the audio of a player-selected character in a voice of the selected character.

In certain aspects of the present disclosure, a computer-implemented method includes receiving a 3D imaging of a heart valve in a pre-operative state. The method includes generating a segmented heart valve by segmenting the heart valve of the 3D imaging. The method includes simulating a surgical procedure on the parameterized heart valve. The method includes determining at least one post-operative outcome based on simulating the surgical procedure on the parameterized heart valve. Systems and machine-readable media are also provided.

An ultrasonic fluid metering accuracy improvement method, comprising: exciting a first ultrasonic transducer by means of an excitation wave sequence and enabling a second ultrasonic transducer to operate, acquiring a received digital signal corresponding to the excitation wave sequence, and calculating a signal-to-noise ratio of the received digital signal, wherein the excitation wave sequence is a combination of a main wave and a self-damping wave, and the signal-to-noise ratio is a ratio of a peak-to-peak value of a received signal region to a peak-to-peak value of a noise region (S301); determining whether the signal-to-noise ratio is greater than a signal-to-noise ratio threshold, if not, adjusting an occupation time of high and low levels of the self-damping wave, and performing an excitation operation again on the basis of the adjusted excitation wave sequence until an actual signal-to-noise ratio is greater than the signal-to-noise ratio threshold (S302); and determining the excitation wave sequence corresponding to the actual signal-to-noise ratio being greater than the signal-to-noise ratio threshold as a target excitation wave sequence, and on the basis of the target excitation wave sequence, exciting the ultrasonic transducer to operate to perform a metering operation (S303), thereby significantly improving metering accuracy without increasing hardware costs. Also provided are an ultrasonic fluid metering apparatus, an electronic device, and a non-transitory machine-readable medium storing computer instructions.

The present disclosure provides systems, methods, and machine-readable media for concurrent communication. One method includes displaying an interactive application on a first device of a user during a break in an entertainment segment displayed on a second device, sending a request for interaction from the user through the interactive application, pausing the interactive application when the break in the entertainment segment is over, and notifying the user when an additional break begins so the user can commence interacting with the interactive application.

Methods, systems, and machine-readable media are disclosed in some examples that automatically initiate a connection to a network-based communication session using a second communication application in response to a communication service detecting that a user is unable to join the network-based communication session using a first communication application. The first and second communication applications can be on the same or different computing devices. For example, if a user's desktop device is unavailable or experiences connectivity issues, a communication server can automatically request a communication application on the user's mobile phone to join the network-based communication session.

An example non-transitory machine-readable medium comprising instructions for capturing a first image of a scene comprising light emitted by a display device, changing a brightness of the display device, capturing a second image of the scene while the brightness of the display device is changing, training a machine learning model with the first image and the second image to provide a light filter to reduce glare, and applying the machine learning model to a captured third image of the scene to reduce glare in the third image, the third image being different from the first image and the second image.