498 results about "Machine-readable medium" patented technology

The Internet can be configured to provide communications to a large number of Internet-of-Things (IoT) devices. An example non-transitory, machine readable medium comprises instructions that, when executed, direct a processor to: cause a device to connect to a network of a decentralized database, discover a namespace of a node of the decentralized database, create a shared database partition in response to being accepted by the node, advertise a service to the decentralized database; and route data of a service between a private database partition and the shared database partition

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.

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.

A computer program product interacts with machine-readable mediums with instructions for automated target recognition. It captures a video of a specified region using detectors on a vehicle. Raw image frames from the video undergo pre-processing, followed by feeding through long and short-range target detection pipelines. Image frames are downscaled in the short-range pipeline, generating image windows and applying a trained convolutional neural network (CNN). Full resolution and non-redundant image chips are created. Detection region of interest (ROI) proposal lists are generated and analyzed with the CNN, producing frame detection lists with detected targets. These lists are stacked and processed using a multi-target Kalman filter, ultimately creating a track list of targets for monitoring.

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.

To effectively resolve the issue of inappropriate handovers during communication sessions, methods, systems, and machine-readable mediums which utilize speech features captured by microphones in the original wireless peripheral device and / or the wireless peripheral device to which the communication session is to be handed over to determine if a handover should proceed or should be reversed. Speech features refer to the composite attributes of spoken language that encompass both acoustic and linguistic features. Acoustic features characterize the sound properties of speech and include, but are not limited to, timbre, pitch, intonation, speaking rate, articulation, prosody, melody, spectral features, formant frequencies, and the like. Linguistic features pertain to the actual content conveyed, comprising words, phrases, syntax, and semantics. This includes the analysis of words, phrases, syntax, and semantics to understand the context and continuity of the conversation.

The present disclosure generally relates to improved centroid predictions. In some aspects, a method of the disclosed technology includes: collecting, from a sensor, sensor data comprising data points; segmenting, via a first network, the sensor data into a first portion of the sensor data and a second portion of the sensor data; determining a semantic label for the first portion of the sensor data; determining local semantic information for each data point of the first portion of the sensor data; removing, using a point mask, the second portion of the sensor data; and determining, via a second network, a centroid of the first portion of the sensor data based on the first portion of the sensor data, the semantic label, and the local semantic information. Systems and machine-readable media are also provided.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for generating time-based interactive digital representations of a subject. Various aspects may include receiving a request for generating the interactive digital representations, wherein the request specifies the subject. Aspects may also include determining a time period covering a time span associated with the request. Aspects may also include retrieving contextual information associated with the subject and restricted by the time period. Aspects may also include generating, based on the contextual information, a model representing a persona of the subject in the time period. Aspects may include outputting an interactive digital representation of the model in a user interface (e.g., a conversational agent in a messaging application or avatar in a virtual environment), enabling user interactions with the model.

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.

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.

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.

A computer program product interacts with machine-readable mediums with instructions for automated target recognition. It captures a video of a specified region using detectors on a vehicle. Raw image frames from the video undergo pre-processing, followed by feeding through long and short-range target detection pipelines. Image frames are downscaled in the short-range pipeline, generating image windows and applying a trained convolutional neural network (CNN). Full resolution and non-redundant image chips are created. Detection region of interest (ROI) proposal lists are generated and analyzed with the CNN, producing frame detection lists with detected targets. These lists are stacked and processed using a multi-target Kalman filter, ultimately creating a track list of targets for monitoring.

The present disclosure generally relates to improved autonomous vehicle (AV) navigation in foggy conditions and, more specifically, to determining a fog intensity level and adjusting the speed of the AV based on the fog intensity level. In some aspects, a method of the disclosed technology includes steps for collecting sensor data for an environment around an AV; determining, based on the collected sensor data, that fog exists in the environment around the AV; determining, based on the collected sensor data, a fog proxy level; determining, based on the fog proxy level, a track spawning range of the AV; and adjusting, based on the track spawning range of the AV, a speed of the AV. Systems and machine-readable media are also provided.

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.

An electronic device for decoding / encoding video data is provided. The electronic device includes at least one processor and at least one non-transitory computer-readable medium coupled to the at least one processor and storing one or more computer-executable instructions that, when executed by the at least one processor, cause the electronic device to: receive the video data; determine a block unit from a current frame included in the video data; determine at least one extrapolation area type and at least one extrapolation filter type; derive extrapolation filter models, each derived based on a corresponding extrapolation area type and a corresponding extrapolation filter type; determine template matching costs, each calculated using a corresponding extrapolation filter models; determine an arrangement of the extrapolation filter models based on the template matching costs; and reconstruct the block unit based on the arrangement. In addition, a non-transitory machine-readable medium for coding video data is also provided.

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.

A non-transitory machine-readable medium of an electronic device storing computer-executable instructions for decoding a bitstream is provided. The computer-executable instructions, when executed by a processor of the electronic device, cause the electronic device to receive an image frame of the bitstream; determine a first mode from a plurality of local illumination compensation (LIC) modes; determine a first template of a block unit of the image frame and at least one second template of at least one reference block based on the first mode; determine a first model based on the first template and the at least one second template; obtain a slope adjustment parameter; adjust the first model based on the slope adjustment parameter; and modify a prediction illumination of the block unit of the image frame based on the adjusted first model.

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.

Systems, methods, and machine-readable media facilitate cellular network security. Communications corresponding to requested network access from an external entity may be processed. Configuration specifications to instantiate network slices may be generated. The network slices may be instantiated in accordance with the configuration specifications with network access provided to user equipment of the external entity, the cellular network consequently providing the network access to the user equipment of the external entity. Signals corresponding to detection of a security event mapped to network traffic of the network slices of the cellular network may be identified. The network traffic may correspond to communications from some of the user equipment that are detected as malicious traffic. A first subset of the user equipment using the network slices to be compromised user equipment may be determined. The first subset of the user equipment or a second subset of the user equipment may be transitioned.

The invention relates to systems, methods, network devices, and machine-readable media for improved constructions of public-key functional encryption schemes for quadratic functions. In particular, the present disclosure relates to a new functional encryption scheme to compute quadratic functions so that the data owner controls what can be computed but is not involved in the calculation, and generates a decryption key which allows one to learn a quadratic function evaluation of some encrypted data.

Systems, methods, and machine-readable media facilitate adaptive beamforming in a cellular network. One or more signals indicative of one or more locations of a first set of one or more radio units and / or a first set of user equipment may be processed. A first set of beamforming specifications may be determined based at least in part on the one or more locations of the first set of one or more radio units and / or the first set of user equipment. The first set of beamforming specifications may correspond to a first set of one or more beamforming patterns. The first set of beamforming specifications may be communicated to instruct the first set of one or more radio units to direct signal transmission in conformance with the first set of one or more beamforming patterns.