136 results about "Client system" patented technology

The present application discloses a method, system, and computer system for providing a dataframe as a service. The method includes (a) receiving, from a client system, one or more hints identifying parameters for source data; (b) executing a plan for a source dataframe including determining whether accessing the source data for the source dataframe is permitted based at least in part on one or more security policies, wherein the plan is based at least in part on the one or more hints; (c) receiving from the client system a business logic pertaining to a transformation to be applied to the source dataframe; and (d) providing to the client system information pertaining to an execution result obtained based at least in part on the business logic.

In one embodiment, a method includes accessing sensory data captured by cameras, identifying people in a field of view of the cameras based on facial recognition of the sensory data, detecting actions of one or more of the people based on the sensory data, generating media files with each being associated with one or more of a recording of at least one of the people or at least one of the determined actions, and sending instructions for presenting one or more of the media files to a client system.

In one embodiment, a method includes receiving, from a client system, a user query inputted on the client system, wherein the user query corresponds to a plurality of dialog-intents, executing a plurality of tasks corresponding to the plurality of dialog-intents, generating a multi-perspective response based, at least in part, on a plurality of execution results corresponding to the plurality of tasks, respectively, wherein the multi-perspective response comprises a natural-language response that combines the plurality of execution results based, at least in part, on natural-language processing, and sending, to the client system, the multi-perspective response for presentation.

Systems and methods for federated model validation and data verification are disclosed. A method may include: (1) receiving, by a local computer program executed by client system, a federated machine learning model from a federated model server; (2) testing, by the local computer program and using a policy service, the federated machine learning model for vulnerabilities to attacks; (3) accepting, by the local computer program, the federated machine learning model in response to the federated machine learning model passing the testing; (4) training, by the local computer program, the federated machine learning model using input data comprising local data and outputting training parameters; (5) identifying, by the local computer program using the policy service, accidental leakage and / or contamination by comparing the training parameters to the input data; and (6) providing, by the local computer program, the training parameters to the federated model server.

In one embodiment, a method includes receiving a voice input having acoustic features from a first client system associated with a first user, determining emotions associated with the voice input based on one or more of the acoustic features by machine-learning models, determining facial features for a first extended-reality (XR) avatar representing the first user based on the emotions, and sending instructions for rendering the first XR avatar representing the first user to a second client system associated with a second user, wherein the first XR avatar is rendered with the determined facial features.

Provided are methods, systems, devices, and tangible non-transitory computer readable media for providing data including vehicle map service data. The disclosed technology can perform operations including accessing vehicle map service data including information associated with a geographic area and sensor observations of a vehicle. The vehicle map service data is based on a vehicle map service protocol specifying layers associated with portions of the vehicle map service data to which each client system is subscribed. Further, the layers to which the client systems are subscribed can be determined and access to the plurality of layers to which each of the vehicle client systems is subscribed can be provided to each of the client systems. Access to the layers can include authorization to send or receive one or more portions of the vehicle map service data associated with a corresponding layer.

A storage controller, a client system, and a method of operating a storage controller are disclosed. The client system includes a client host device and a client storage device including a storage controller and a storage memory. The storage controller includes a host interface, a processor configured to control read and write operations to the storage memory, and a homomorphic encryption and decryption accelerator configured to: based on receiving a read request from the client host device, perform homomorphic encryption on first plaintext data read from the storage memory to generate first homomorphic ciphertext data, and provide the first homomorphic ciphertext data to the client host device through the host interface; and based on receiving a write request from the client host device, perform homomorphic decryption on second homomorphic ciphertext data received through the host interface to generate second plaintext data, and write the second plaintext data into the storage memory.

In one embodiment, a method includes, by one or more computing devices, receiving, from a client system at a first location, an audio input from an unknown user; identifying a first user of the online social network who is proximate to the first location; identifying the unknown user as a second user of the online social network based on a comparison of the audio input to one or more voiceprints of one or more candidate users stored by the online social network, respectively, wherein each voiceprint comprises audio data for auditory identification of a unique user of the online social network, and wherein each candidate user is within a threshold degree of separation of the first user within the online social network; and sending customized content to one or more of the first user or the second user based on their social-networking information.

In one embodiment, a method includes receiving, at a client system, an audio input, where the audio input comprises a coreference to a target object, accessing visual data from one or more camera associated with the client system, where the visual data comprises images portraying one or more objects, resolving the coreference to the target object from among the one or more objects, resoling the target object to a specific entity, and providing, at the client system, a response to the audio input, where the response comprises information about the specific entity.

An embodiment sends, at a first time, from a boundary server to a client system in response to a challenge request, a challenge specifying a computational problem to be solved by the client system, the boundary server specified in a challenge list sent to the client system. An embodiment receives, at a second time, at the boundary server, a challenge response from the client system, the challenge response comprising a solution to the computational problem. An embodiment generates, at the boundary server, a certificate encoding an elapsed time between the first time and the second time, the certificate usable by the client system to prove a location of the client system. An embodiment sends, from the boundary server to the client system, the certificate.

Systems and methods are disclosed for software security analysis. In certain embodiments, a method may comprise identifying a set of potential security vulnerabilities, comparing the potential vulnerabilities to a catalog identifying elements on a client system, and generating risk mitigation advice based on potential security vulnerabilities matching an element in the catalog. The method may include evaluating a data field of a service request to a third party to determine an expected data type for the field, determining whether the actual data included in the service request matches the expected data type, and quarantining the service request when the actual data does not match the expected data type. The method may comprise operating as a proxy for the service request, including receiving the service request from the client system, evaluating the service request for irregularities, and forwarding the service request to the third party once the irregularities have been addressed.

A client system for uploading flight data to a server system is configured to receive flight data for a flight, wherein the flight data includes flight identification data and parameter data obtained from a flight data recorder of an aircraft, wherein the parameter data comprises values for a plurality of parameters, each of the plurality of parameters being associated with a status of the aircraft and each of the values being associated with a timestamp; modify the flight data to generate modified flight data by detecting a field in the flight data and changing a value associated with the field; and transmit the modified flight data to the server system.

A system includes one or more processors to receive, from a first client system, a first message associated with a transfer of a data file, the first message in accordance with a predetermined protocol, execute a sequence of operations that authenticate the first client system to an application programming interface (API) gateway that controls access to a data storage, upload the data file from the first client system to the data storage, send, to a second client system, a notification in accordance with the predetermined protocol to cause the second client system to transmit a second message, receive the second message in accordance with the predetermined protocol, authenticate the second client system to the API gateway based on execution of the sequence of operations, and provide, to the second client system via the predetermined protocol, the data file to cause the second client system to download the data file.

To provide an image editing device and an image editing method for editing an image based on dragging.SOLUTION: The image editing apparatus 100 includes an input / output unit configured to acquire a drag input command and an image, and a controller configured to acquire an opticalflow based on the drag input command and the image using a first artificial intelligence model trained to receive the drag input command and the image and output the opticalflow, acquire an edited image as an output of a second artificial intelligence model different from the first artificial intelligence model by inputting the opticalflow and the image to the second artificial intelligence model, and provide the edited image.SELECTED DRAWING: Figure 2

The application relates to an intelligent cockpit system based on a Type I virtualization technology and a resource division method thereof. The system comprises a hardware platform, at least one virtualization-supported processor, memory, storage device and peripheral device; a Type I virtualization management program running on the hardware platform and directly managing hardware resources; a first virtual customer system running an embedded Linux system and used for driving an instrument display screen; and a second virtual customer system running an Android system and used for driving a central control display screen. Two independent customer systems are virtually generated on a single hardware platform through the Type I virtualization management program, and embedded Linux and Android are respectively run to support the functions of the instrument screen and the central control screen. Through CPU time-sharing scheduling, independent memory division, device direct connection and sharing combination, efficient isolation and reuse of resources are realized, so that the hardware resource utilization rate is effectively improved, and the system cost and power consumption are reduced.

The present invention relates to a system (108) and a method (600) for identifying customers eligible for migration from an existing network (106) to a new network (110) The disclosed system (108) and method (600) aim at enhancing the experience of the customer as well as service providers. More particularly, the present invention provides a unique approach of predicting and identifying eligible customers for migration from the existing cellular network technology to new cellular network technology based on the prediction performed by the AI / ML model (216) utilizing the historical data and trend analysis, focusing on pre-defined or dynamically set parameters. This ensures the customers can experience better performance after migrating from the existing cellular network technology to the new network cellular technology.

In one embodiment, in response to a challenge request, a challenge is sent from a border server to a client system at a first time, the challenge specifying a computing problem to be solved by the client system, the border server being specified in a list of challenges sent to the client system. One embodiment receives, at a second time, a challenge response from the client system at the border server, the challenge response including a solution to the compute question. One embodiment generates, at a border server, a certificate encoding a time elapsed between a first time and a second time, the certificate being usable by a client system to attestation a location of the client system. In one embodiment, credentials are sent from a border server to a client system.

Services provided by a platform may be described in a uniform way via service-specific provisioning descriptors. To provision services for a client system, a managed services provisioning system provides a service configuration interface through which a service associated with a tuple of a particular sender, receiver, and document type can be selected for further configuration. A service provisioning interface is dynamically generated for obtaining service-specific provisioning information from a user for generating a service-specific provisioning data instance that can be deployed to a backend system. At runtime, the backend system utilizes the service-specific provisioning data instance to provide the provisioned service for a client system. In this way, a variety of services can be efficiently provisioned for a diverse set of clients.

A method for the remote activation of railroad crossing signals includes determining a physical location of a client system. The method further includes determining, from a plurality of records of railroad crossing signals, an eligible railroad crossing signal that is within a predetermined distance of the physical location of the client system. The method further includes sending identification information about the eligible railroad crossing signal to the client system. The method further includes receiving, from the client system, an indication of a user selection to activate the eligible railroad crossing signal. The method further includes sending an activation signal to the eligible railroad crossing signal in response to receiving the indication of the user selection to activate the eligible railroad crossing signal.

A system may provision an application-specific cloud account for a backend component of a software application. The system may receive a request from a client system executing a client side component of the software application, the request including authorization credentials and a version identifier for the backend component. The system may validate the authorization credentials to determine the client system is authorized to access the requested virtual reality content. The system may identify a backend version of the backend component associated with the version identifier in the request. The system may load, into the cloud account, the backend component corresponding to the identified backend version. The system may execute the loaded backend component to process the request and generate the requested virtual reality content. The system may return the requested virtual reality content to the client system.

An adjustment to a virtual environment using a recommendation includes retrieving character information from a character database, wherein the character information is associated with a character associated with the virtual environment and the character information includes character appearance information, character position information, and character action information; retrieving profile information from a profile database, wherein the profile information indicates one or more profile characteristics and at least one profile characteristic is related to music; comparing at least a portion of the character information to one or more of the profile characteristics to determine a comparison result; generating adjustment information based on the comparison result; sending the adjustment information to a client system over a network; receiving an adjustment reply from the client system over the network; and adjusting information for the virtual environment based on the adjustment reply.

In one embodiment, a method includes receiving, from a client system associated with a first user, a first audio input. The method includes generating, based on a plurality of automatic speech recognition (ASR) engines, a plurality of transcriptions corresponding to the first audio input. Each ASR engine is associated with a respective domain of a plurality of domains. The method includes determining, for each transcription, a combination of one or more intents and one or more slots associated with the transcription. The method includes selecting, by a meta speech engine, one or more combinations of intents and slots associated with the first user input from the plurality of combinations. The method includes generating a response to the first audio input based on the selected combination and sending, to the client system, instructions for presenting the response to the first audio input.

Various embodiments for a user interface modification and recommendations system are described herein. An embodiment operates by displaying in a first section of a user interface a plurality of saved / favorite apps of a first user based on a list of saved / favorite apps of the first user. A list of authorized apps is generated from the first list of apps and comparing a user profile of the first user with permissions provided by the client system. A final list of recommended apps is generated by copying a preliminary list and removing all the saved / favorites apps of the first user. The first section of the user interface is updated by adding the at least one app from the final list of recommended apps to the first section.

The present disclosure relates to client updates to data modification tracking structures. In some examples, in response to a modification request by a client to a first data page at a memory server that is remotely accessed by the client over a network, the client system sends a request to the memory server to update a data modification tracking structure stored by the memory server to indicate that the first data page was modified. The client system initiates an incremental data backup from the memory server to a backup storage system of the data page that is indicated as having been modified by the data modification tracking structure stored at the memory server.

In one embodiment, a method includes receiving a voice input from a first user from a client system via an assistant xbot associated with an assistant system, determining that the voice input includes an out-of-coverage request including intents or slots that are unsupported by the assistant system, generating a contextual response for the out-of-coverage request, wherein the contextual response includes an implicit confirmation of the out-of-coverage request and a failure response to the out-of-coverage request, wherein the implicit confirmation references the voice input from the first user, and wherein the failure response indicates that the assistant system is unable to execute a task corresponding to the out-of-coverage request, and sending instructions for presenting the contextual response responsive to the voice input to the client system.

The invention discloses an automatic operation and maintenance method, system and device and a storage medium. The method comprises the steps that based on a device provided with a Romc intelligent operation and maintenance system and a device provided with a Romc-Agent client system, various server states, logs and the like can be collected to serve as automatic operation and maintenance triggering conditions; rich built-in operation and maintenance instruction actions are provided by the Romc intelligent operation and maintenance system and the Romc-Agent client system; rich third-party equipment linkage instruction actions provided by the Romc intelligent operation and maintenance system; and the automatic operation and maintenance instruction content is supported to be stored as a template to be copied and used at multiple places. According to the method, richer automatic operation and maintenance triggering conditions and built-in instructions are provided, and automatic operation and maintenance are upgraded from traditional'execution of specific scripts at specific time 'to'execution of a series of complex operations after occurrence of a certain event'. The application scenes of automatic operation and maintenance products are greatly enriched, and the practical value of the automatic operation and maintenance products is improved.

The invention provides a data processing method and device for a remote multi-center intelligent operation system, and relates to the technical field of information.The method comprises the steps that a unified metadata management system is established and used for recording attribution information of entities in all data centers and calculation rules of aggregated data; synchronizing the metadata among a plurality of data centers, wherein each data center reserves an independent backup of the metadata; a user request is routed to a nearest data center through an intelligent DNS analysis service, and a dynamic mapping relation between resources and the data center is maintained in a client system; according to the dynamic mapping relation and the calculation rule in the metadata, after a user request reaches a corresponding data center, if the user request is an aggregation type data request, the data center autonomously executes aggregation calculation, and detailed data does not need to be transmitted across the center. According to the invention, the network transmission cost and the dependence of the system on a single center are reduced, and the reliability and expansibility of the system are improved.

A system, device, and method for providing a development environment for a client system that runs on a cluster is disclosed. The method includes (i) starting the cluster from the client system to run the development environment, wherein starting the cluster includes instantiating the cluster based on a predefined cluster image, and configuring a set of dependencies for the cluster, wherein the set of dependencies includes a mounting for a network file storage, (ii) receiving, via the development environment, code input to an interface with the client system, (iii) determining to execute the code, and (iv) in response to determining to execute the code, executing the code using the cluster including automatically scaling the cluster based on a workload for executing the code.

A cyber threat defense system can incorporate data from an instant messaging platform with multiple other platforms in a client system to identify cyber threats across the client system. The system can have one or more instant messaging modules to collect instant messaging data from one or more network entities that utilizes one or more instant messaging platforms. A user specific profile module can identify a user of the client system associated with the user account based on a composite user profile constructed from user context data collected across multiple platforms of the client system. A risk profile module can associate the user with a user risk profile based on the composite user profile. The risk profile module can apply one or more artificial intelligence classifiers to the instant message based on the user risk profile. A cyber threat module is configured to identify whether the instant messaging data corresponds to a cyber threat partially based on the user risk profile. An autonomous response module can execute an autonomous response in response to the cyber threat factoring in the user risk profile.

Disclosed herein are methods and systems for dynamically serving image metadata. The method includes receiving, at an image service system from a client system, a request for obtaining an image. The image is associated with inherent metadata. The method includes serving, by the image service system, the image to the client system in response to the request for obtaining the image. While serving the image to the client system, the method includes modifying, by the image service system, the inherent metadata associated with the image that is served to the client system in accordance with a predetermined criterion. The inherent metadata of the image stored by the image service system is not modified and the predetermined criterion is based on a context associated with the request of the image.