14 results about "System validation" patented technology

Systems and methods for generating generative AI based solution are disclosed. A system receives a request for generating the generative AI (GenAI) based solution. The system classifies the received request into solution patterns and performs actions corresponding to at least one of the solution patterns. The system extracts a metadata from the received request and the actions based on the type of GenAI based solution to be generated. Further, the system segments the extracted metadata into data segments and generates a vector representation of the data segments. The system generates the GenAI based solution corresponding to the received request based on the generated vector representation. The system validates the GenAI based solution large language model (LLM). The system continuously updates the LLM and the vector-based machine learning model with the validated GenAI based solution and user feedback. The system outputs the GenAI based solution on a user interface.

This application relates to a system, method, and non-transitory computer readable medium for implementing a queuing platform. In some embodiments, a user request is received and it determined whether the user request matches predetermined criteria. Embodiments can include assigning the user request to an item queue and issuing a ticket. In further embodiments, the ticket is validated and an access token is transmitted to the user device based on the validation of the ticket. A checkout request corresponding to the at least one user request is received and validated. In some embodiments, the user request is transmitted from the item queue to a checkout engine to complete a purchase of the item based on the validation of the access token received in the checkout request.

In an example implementation according to aspects of the present disclosure, a system, method, and storage medium comprising a processor, memory, and instructions to receive a fiducial mark, wherein the fiducial mark encodes a user identity, a face descriptor, a background descriptor, and a signature block. The system decodes the fiducial mark and validates the signature block against a public key repository system. The system validates the user identity against an identity management system and validates the face descriptor against a face descriptor repository. The system validates the background descriptor against a background descriptor repository and responsive to successful validation, allows a document to be shared in an online conference.

The present disclosure relates to continuous aircraft validation to improve production build efficiency. Systems, apparatuses, and methods can provide a validation system for an aircraft. The validation system includes a validation function subsystem to automatically validate operating conditions of one or more components of the aircraft based on airflow-related signals, hydraulic-related signals, and electrical signals and associated impedances, and to present the operating conditions via a display. The airflow-related signals can be obtained from a plurality of airflow fittings, the hydraulic-related signals can be obtained from a plurality of hydraulic fittings, and the electrical signals and associated impedances can be obtained from a plurality of electrical connectors. At least two of the airflow fittings, at least two of the hydraulic fittings, and at least two of the electrical connectors can be positioned in different aircraft sections prior to assembly of additional aircraft sections.

A system may validate execution of a video game to identify the existence of a coding error or of cheating by a video game player. The system can record action events performed by a video game within an action event log, which may be provided to a validation system that can repeat the action events identified in the action event log. By comparing a state of the video game with a state generated by the validation system responsive to repeating the action events, the system can determine whether a coding error exists or if a user is cheating (e.g., using cheat software) when playing the video game. Further, the system can use isomorphic code enabling the validation system to repeat the action events independent of the system hosting the video game. Thus, the system hosting the video game may continue to execute the video game while validation occurs.

A method includes receiving files. Deployed models analyze the files to create results with corresponding data. The results identify suspicious files. The system calculates ranked results by ranking the results according to a confidence level, and clustered groups by clustering the results based on similar data. The system calculates classes by correlating the ranked results to the clustered groups. The classes indicate accurate results and inaccurate results. The system retrains the deployed models having the class indicating inaccurate results with new training sets to create retrained models. The system validates the retrained models when the retrained models identify one or more suspicious files from the receiving. The system compares the classes of the deployed models to new classes of the retrained models. The computerized system deploys the retrained models when the new classes of the retrained models indicate accurate results greater than the classes of the deployed models.

A system may validate execution of a video game to identify the existence of a coding error or of cheating by a video game player. The system can record action events performed by a video game within an action event log, which may be provided to a validation system that can repeat the action events identified in the action event log. By comparing a state of the video game with a state generated by the validation system responsive to repeating the action events, the system can determine whether a coding error exists or if a user is cheating (e.g., using cheat software) when playing the video game. Further, the system can use isomorphic code enabling the validation system to repeat the action events independent of the system hosting the video game. Thus, the system hosting the video game may continue to execute the video game while validation occurs.

A method and system are described for verifying site modifications using a drone system. The method involves generating an initial CAD 3D model using drone-captured data, altering it to reflect planned changes, and employing augmented reality to overlay modification plans on live video after site modifications to determine compliance with the as-planned design.

This document describes apparatuses, systems, and techniques directed to a modular system validation platform for computing devices. The modular system validation platform includes an interface board for interfacing a host with a peripheral. The interface board includes an apparatus identifier, a first connector configured to couple to the host, and a second connector configured to couple to the peripheral. The interface board comprises interface circuitry that can be reconfigured to enable different peripherals to operate with the host using the same interface board. The interface circuitry enables the interoperability between the host and the peripheral by distributing power from the host to the peripheral and facilitating communications between the host and the peripheral. By using the reconfigurable interface board to test and troubleshoot the interoperability of the processor and the peripheral, resources, time and costs spent during the design and testing phases of computing devices may be minimized.

The invention relates to the technical field of data processing, and particularly provides an edge gateway test method, system and device based on multi-protocol compatibility and a medium, and the method comprises the steps: recognizing all edge gateways and connection devices thereof in a system, and building a topological relation; the topological relation is abstracted into a hypergraph model, each gateway is mapped into a vertex, and the gateway and all equipment sets of the gateway are mapped into a hyperedge; based on the hypergraph model, automatically generating a test case set covering all gateways; testing is executed, and the operation state and performance data of each gateway are monitored in real time; and finally, evaluating the system according to the monitoring data and a preset evaluation index and generating a test report. According to the method, automation and intelligentization of the testing process are achieved through hypergraph modeling, testing key points can be accurately recognized, and the system verifies the capacity of the gateway in the aspects of multi-protocol compatibility, processing performance, fault tolerance and the like.

A system for self-directed computer system validation includes first logic to provide a graphical user interface to enable a user to select a set of selected requirements from a plurality of available requirements; second logic to select a set of procedures to satisfy the need to test against each of the requirements and document evidence of the outcomes and generate a set of documents for installing and configuring the system and test protocols including all methods and objects needed to validate the system; and third logic to provide the set of documents for installing and configuring the system and test protocols including all methods and objects needed to validate the system.

A system and method are disclosed for facilitating direct settlement negotiations between injury claimants and insurance companies via a mobile application. The system verifies whether a claimant has legal representation, collects personal and incident information, and transmits the data to the appropriate insurance company. The system optionally uses an artificial intelligence (AI) module to analyze claimant data, sensor-derived injury evidence, and supporting documents to generate a settlement valuation score. Based on the score, the system triggers a settlement workflow, such as issuing a settlement offer within a predetermined range or initiating an investigation into prior injuries. Claimants may digitally execute liability release agreements upon accepting settlement offers. The system improves efficiency by reducing attorney involvement, accelerating settlement timelines, and lowering administrative burdens for insurers. Sensor integration enables enhanced injury validation, while AI-assisted valuation ensures dynamic and data-driven settlement handling.

A system (100) comprising: a processor (102); and a non-transitory computer-readable storage medium (602) containing instructions (106, 108, 110, 112) that can be executed on the processor (102) to: receive a permission request (212, 306) to enable the performance of an operation with respect to a backup copy (208), wherein the backup copy (208) corresponds to initial device data (204) stored in a first device (202), and wherein the backup copy (208) is to be stored on a second device (206); in response to the permission request (212, 306), analyze telemetry data (220, 222, 226) received by the first device (202) within an initial time interval relative to a time of receipt of the permission request (212, 306); and determine whether a security of the first device has been compromised based on the analysis. is;based on the finding that the security of the first device is not compromised, to enable the operation with respect to the backup copy (208) by sending a token (216) from the system (100) to the first device, wherein the token (216) includes a name of the first device data (204) or the backup copy (208) and the token (216) indicates the operation with respect to the backup copy (208) that is permitted;to receive from the system (100) of the second device (206) the token (216) which was sent from the first device (202) as part of a service request from the first device (202) to perform the operation with respect to the backup copy (208), wherein the token (216) from the second device (206) is part of an authentication request which asks the system (100) to verify that the token (216) is valid, and the authentication request is sent from the second device (206) to the system (100) on the basis of a finding that the service request from the first device (202) is consistent with the token (216); to validate the token (216) received from the second device (206) in the system (100);and based on the validation of the token (216), a response (314) from the system (100) is sent indicating that the token (216) is authentic, in order to enable the second device (206) to perform the operation with respect to the backup copy (208).