276 results about "Client system" patented technology

Various techniques are disclosed for providing gateway services between a client system and downstream service systems for a service system. The disclosed gateway service system is capable of implementing a new service for a client system in response to a request from the client system. The gateway service system internally determines which downstream services are needed to implement the new service. In various instances, the gateway service system utilizes machine learning algorithms to determine the downstream services suitable for providing the output needed for the new service. The gateway service system is also capable of determining whether an existing application programming interface (API) is able to be used for the new service or whether a new API needs to be created for the new service. By internally determining the downstream services and APIs, the gateway service system has more efficient utilization of its computational resources.

Systems, methods, and computer-readable storage mediums are disclosed that prevent users from exchanging unauthorized content with a remote server via a client application. A system receives media instructions from a client application for rendering a user interface for the remote server on a user's device. Using the media instructions, the system determines permissions for accessing content to be presented in the user interface. Based on the permissions, the system generates modified media instructions and transmits the modified media instructions to a browser of the user device.

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.

In one embodiment, a method includes accessing visual signals comprising images portraying textual content in a real-world environment associated with a first user from a client system associated with the first user, recognizing the textual content based on machine-learning models and the visual signals, determining a context associated with the first user with respect to the real-world environment based on the visual signals, executing tasks determined based on the textual content and the determined context for the first user, and sending instructions for presenting execution results of the tasks to the first user to the client system.

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.

A parallel file system (PFS) comprising a plurality of storage nodes. The PFS receives a request to write data in a file from an application running on a client system. The file is stored in a set of storage nodes. The PFS identifies a target storage node to which data needs to be written in response to the request to write data. The PFS detects that the target storage node is inaccessible. The PFS completes the request to write by writing parity data corresponding to the data being written to one or more other storage nodes. The PFS reconstructs the data of the target storage node when the target storage node is accessible.

In one embodiment, a method includes receiving, from a client system associated with a user, a first user request that includes a reference to a target object and one or more of an attribute or a relationship of the target object. Visual data including one or more images portraying the target object may then be accessed, and the reference may be resolved to the target object portrayed in the one or more images. Object information of the target object that corresponds to the referenced attribute or relationship of the first user request may be determined based on a visual analysis of the one or more images. Finally, responsive to receiving the first user request, the object information of the target object may be stored in a multimodal dialog state.

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.

Systems and methods for identifying and tracking users include receiving eavesdropped data from monitoring a base station in a wireless network; decoding the eavesdropped data to detect data therein to identify user equipment (UE) of a plurality of UEs associated with the base station; and tracking the plurality of UEs of the base station in the wireless network based on the detected data in the eavesdropped data.

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.

The embodiment of the invention discloses a code migration system based on multi-system isolation, which can determine corresponding hardware resources through analysis for codes which cannot be directly compiled, and correspondingly create virtual hardware resources in a migration client system domain. And data interaction with corresponding hardware resources in the migration service system domain is realized in a transparent transmission mode, so that data can be conveniently transmitted to the migration service system domain, and codes which cannot be converted can be conveniently operated in the migration service system domain. The code migration workload of different operating systems can be saved, and meanwhile the code migration difficulty is lowered.

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.

Disclosed is a computer-implemented method (100) for providing machine element data, comprising: on a client system (20), sending a request for providing the machine element data (110) via a computer program (21) that is executed on the client system (20) of an end user; on a server system (10), capturing the request (120); on the server system (10), evaluating the request with regard to identification data (130) contained in the request, which data comprise at least first identification data for identifying the computer program (21) and second identification data for identifying the end user; on the server system (10), performing an authentication of the request using the first identification data and the second identification data (140);and on the server system (10), transmitting the machine element data (150) to the computer program (21) if the authentication enables provision of the machine element data;

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 method can include determining metadata for a file responsive to initiating an operation on the file stored within a client system and determining a storage location within a file repository of a master version of the file from the metadata. The method also can include determining, from the storage location, whether the master version of the file is more recent than the file stored within the client system using a processor of the client system.

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.

Disclosed herein are system, method, and computer program product embodiments for controlling message routing for transaction processing platforms. The routing of transaction messages mitigates service disruptions to client systems facilitating transactions with consumers. A connection management and transaction routing platform (CMTRP) system applies routing configurations, such as passthrough, throttling, and / or maintenance toggle configurations, to facilitate the routing of transaction messages. This routing may route message to different transaction processing platforms and / or different instances of transaction processing platforms. The CMTRP system also routes transaction messages when transaction processing functionality is being migrated from a first transaction processing platform to a second transaction processing platform and / or when a platform is undergoing maintenance.

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.

A computing system performs real-time mitigation against unfamiliar threat scenarios by identifying specific threat scenarios for client systems that have not previously experienced a threat scenario and for which the remediation process is unknown. The computing system responds to unknown threat scenarios by generating and providing to the client system a mitigation file that includes a set of predictive mitigation processes for responding to the threat scenario. The mitigation file is generated by first generating a threat vector that identifies a plurality of different threat scenario characteristics for the specific threat scenario. Then, a classification model is applied to the threat vector to identify the set of predictive mitigation processes that are determined to be most suitable for the threat vector and that are included in the mitigation file.

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.