191 results about "Client system" patented technology

A chat robot system for filtering dialogue content. The chat robot system receives a prompt of the user from the client system during the interactive session. The chat robot system filters the user's cues based on a set of platform policies and generates a response based on the filtering of the user's cues and transmits the response to the client system.

A system, method, and device for domain-level sinkholing of network traffic. The method includes (i) obtaining network traffic, (ii) determining a client system or user associated with the network traffic, (iii) determining a domain for which the client system is attempting to access in connection with the network traffic, (iv) performing a sinkholing of the network traffic and / or traffic handling for automated analysis of vulnerable and / or malicious network traffic using one or more of a name-based virtual hosting or an IP-based virtual hosting.

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.

Various embodiments of the present invention comprise a supply chain platform configured in connection with an inventory hub, a supplier system, an enterprise data platform, and a customer system to respond to disturbance events within a supply chain. Such a supply chain platform may collect a variety of supply chain data to determine a risk score relating to such disturbance event(s) and one or more mitigation opportunities in response thereto via a mitigation module configured to generate one or more scenarios and assess the same for efficacy and readiness. Such mitigation opportunities may include the use of one or more supplier sites within the supply chain. Such a supply chain platform may be configured to generate a plurality of reports having interactive data visualizations configurable according to key element data and / or parameter input(s) supplied by a user through a user device and may differentiate between important and inconsequential disturbance events.

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.

Methods, systems, and computer program products for automatically detecting outliers in federated data are provided herein. A computer-implemented method includes obtaining local outlier-related data from multiple client systems within a federated learning environment; detecting one or more federated learning environment-level outliers from at least a portion of the multiple client systems by processing at least a portion of the obtained local outlier-related data using one or more artificial intelligence models; determining at least one calibration parameter for detecting federated learning environment-level outliers based at least in part on the one or more detected federated learning environment-level outliers; and outputting the at least one determined calibration parameter to at least a portion of the multiple client systems within the federated learning environment.

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.

The technical solutions described herein present a computing action search using natural language processing. A system can identify a request containing an executable action associated with a first account identifier of a client system and select a prompt that corresponds to the action, is structured as text including fields, and identifies compatible actions corresponding to the client system or the first account identifier. The system can embed content, including text or metadata, of the first account identifier into the fields of the prompt. The system can provide the prompt to a model and obtain a response from the model indicating a recommended action and a second account identifier associated with the recommended action. The system can validate that the recommended action corresponds to the compatible actions, and the second account identifier corresponds to the first account identifier and execute, responsive to validation, the recommended action for the first account identifier.

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 system for evaluating and managing system performance of one or more customer systems, the system comprising: a repository for storing one or more objects; a gateway communicatively coupled to a customer system, the customer system separated from a wide area network by a firewall, and including one or more computer systems and databases within a customer premises, the gateway comprising a plurality of adapters configured to translate commands and data with system applications within a customer system without deploying agents within the customer system; a plurality of active objects configured to implement a plurality of workflows; one or more processors communicatively coupled to the memory and the gateway, the firewall being disposed between the gateway and the one or more processors, the one or more processors and the gateway being configured to: detect an alert that a monitoring policy related to a monitored event for the customer system has been violated, automatically generate and implement a corrective action workflow, and deploy the corrective action workflow through at least one of the plurality of active objects, wherein the corrective action workflows are assigned metadata via inputs and intelligent toolset to classify and categorize the metadata, and wherein the corrective action workflows are catalogued in a library and converted into model parameters, and wherein the detection of the alert is based on an inference.

The invention belongs to the field of intelligent information system management, and particularly discloses an intelligent telephone voice client system and a related method. The system covers a plurality of modules of voice acquisition and preprocessing, high-precision voice recognition, deep intention understanding and the like. A plurality of innovative algorithms such as an improved deep convolutional neural network and attention mechanism fused speech recognition algorithm are adopted, the speech recognition accuracy is improved, the client intention is accurately analyzed, and efficient multi-round dialogue management is realized. Knowledge can be quickly retrieved by means of a knowledge graph technology, and customer emotion is recognized and a service strategy is adjusted through a multi-modal fusion algorithm. Through verification of multiple embodiments, the system is good in performance and high in reliability, and can improve the customer service level and competitiveness of enterprises.

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.

Parameter permutation is performed for federated learning to train a machine learning model. Parameter permutation is performed by client systems of a federated machine learning system on updated parameters of a machine learning model that have been updated as part of training using local training data. An intra-model shuffling technique is performed at the client systems according to a shuffling pattern. Then, the encoded parameters are provided to an aggregation server using Private Information Retrieval (PIR) queries generated according to the shuffling pattern.

The invention provides a single sign-on method and system and a storage medium. An OIDC service, a first micro-service and a second micro-service are deployed at a management node where a target platform is located; in response to a received unified authentication instruction that the user triggers the target platform, the OIDC service obtains login information input by the user through the target login page, and verifies the login information; when the verification is passed, the OIDC service feeds back account information and first role information of the user; the first micro-service reads a role mapping relation from the second micro-service and determines second role information corresponding to the first role information based on the role mapping relation, and the second role information is used for indicating a role of the user in the target platform; and logging in the target platform based on the account information and the second role information. The method supports automatic mapping of the platform role and the system role, facilitates butt joint of the client system and the target platform, is convenient for users to use, and improves the working efficiency.

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

In one embodiment, a method includes receiving a user request from a first user from a client system associated with a first user, wherein the user request comprise a gesture-input from the first user and a speech-input from the first user, determining an intent corresponding to the user request based on the gesture-input by a personalized gesture-classification model associated with the first user, executing one or more tasks based on the determined intent and the speech-input, and sending instructions for presenting execution results of the one or more tasks to the client system responsive the user request.

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 the field of information security technology, and specifically to a network system with global quantum security protection. The solution of the present application realizes quantum encryption and decryption processing of business data by adopting a quantum security service system, including a quantum security server, an access base station and a key center, effectively improving the security of data transmission, preventing data leakage and tampering, and ensuring the information security of the network system. As the main computer room, the provincial center is responsible for receiving and managing data reports from gateway network elements in various cities and prefectures, while the backup center receives data backups from the provincial center and uses dedicated data backup lines and multiplexed lines to ensure the stability and reliability of data backups. The client systems in various cities and prefectures can access the network management system of the provincial center through remote browsing, which facilitates business interaction between the client and the provincial center and improves business processing efficiency.

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.