32 results about "System validation" patented technology

Techniques are described for validating build integrity of software products, such as applications or containers. More specifically, this disclosure describes a build integrity validation system that analyzes build artifacts resulting from a software build process to create source code assertions, and compares the assertions against the source code from which the build artifacts were produced. The build integrity validation system validates that a particular build artifact is producible by the source code to ensure that no additional code was introduced during the build process. The build integrity validation system may also reverse the analysis to validate that the source code is able to produce the build artifacts to ensure that no code was removed or modified during the build process. The build integrity validation system identifies and reports identified discrepancies between the source code and the build artifacts resulting from the software build process of the source code.

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.

An online system performs inference requests in conjunction with the model serving system to perform AI (text-based LLM or multi-modal transformer)-generated integration test variants. Instead of rigid code-specified integration tests, the LLM creates integration test variants that follow a specification. Given one or more files from the codebase of an application and a specification for integration testing, the LLM compiles an integration test including a series of actions (e.g., API calls) as runnable code and assertions about the state of the application after the actions are executed.

A system and method for data compaction with adaptive codebook statistical estimates. Training data sets determine sourceblock frequencies while a dynamic mismatch probability system continuously refines estimates based on observed patterns. Context-aware handling selects appropriate secondary encoding methods for different data types (text, binary, image, executable). Machine learning models predict optimal mismatch probabilities from extracted features. Edge-optimized training enables codebook development on resource-constrained devices with intelligent resource management. Differential updates transmit only changes between codebook versions, minimizing bandwidth usage. Federated learning enables multiple devices to contribute to shared codebooks while maintaining data privacy. A secure synchronization protocol with authentication and verification ensures codebook consistency. The distributed maintenance method provides systematic validation, conflict resolution, and optimization across device networks, enabling efficient encoding across heterogeneous systems.

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.

Described herein is a system for enabling a user to perform complex goals using multiple skills / applications of an intelligent assistant device. Skills may register as consumers of an action or providers of an action, and the consumer skills may be configured to invoke provider skills to perform actions. The system receives a request to perform an action from a skill along with some action data. The system validates the action data, selects another skill to perform the action, and forwards the request to the selected skill to perform the action.

Using artificial intelligence (AI)-based techniques to detect glitches in audiovisual data can improve the reliability of glitch detection and reduce the cost of system validation and / or maintenance. An AI-based method for detecting glitches in an image can include extracting one or more features from the image; providing the image and the extracted features as inputs to a model; and generating, by the model, a classification output indicating whether the image is glitched. An AI-based method for detecting glitches in an audio data segment can include generating an image including a spectrogram of the audio data segment; providing, the image as input to a model; and generating, by the model, a classification output indicating whether the audio data segment represented by the image is glitched. Records of the glitches can be generated, and the validation status of a system-under-test (SUT) can be determined based on the records.

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.

Techniques are described for validating build integrity of software products, such as applications or containers. More specifically, this disclosure describes a build integrity validation system that analyzes build artifacts resulting from a software build process to create source code assertions, and compares the assertions against the source code from which the build artifacts were produced. The build integrity validation system validates that a particular build artifact is producible by the source code to ensure that no additional code was introduced during the build process. The build integrity validation system may also reverse the analysis to validate that the source code is able to produce the build artifacts to ensure that no code was removed or modified during the build process. The build integrity validation system identifies and reports identified discrepancies between the source code and the build artifacts resulting from the software build process of the source code.

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.

A computer system receives a request from a device to join a device social network supported by an enterprise device social media cloud. The request comprises a user packet that includes a network social name, enterprise credentials of the device, and device information metadata. The computer system validates the user packet. When the validation is successful, the computer system calls a directory service to create a directory service user entry corresponding to the device in the directory service. When the creation of the directory service user entry is successful, the computer system creates a device social network user corresponding to the device in the enterprise device social media cloud.

Methods, systems, and computer programs are presented for protecting restricted actions on encryption keys that control the management of data stored by a service provider. In some implementations, a system of the service provider receives a request to generate a data encryption policy (DEP) for data stored by the system of the service provider for a customer, the request including a reference to a customer key and an availability key. The customer key and the availability key are root keys for encrypting a data encryption key. The data encryption key is used to encrypt the data stored by the service provider for the customer. Further, destructive changes to the availability key require receiving an approval from an account of the service provider. The system of the service provider validates the DEP. The system of the service provider stores the DEP based on the validation.

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.

Using artificial intelligence (AI)-based techniques to detect glitches in audiovisual data can improve the reliability of glitch detection and reduce the cost of system validation and / or maintenance. An AI-based method for detecting glitches in an image can include extracting one or more features from the image; providing the image and the extracted features as inputs to a model; and generating, by the model, a classification output indicating whether the image is glitched. An AI-based method for detecting glitches in an audio data segment can include generating an image including a spectrogram of the audio data segment; providing, the image as input to a model; and generating, by the model, a classification output indicating whether the audio data segment represented by the image is glitched. Records of the glitches can be generated, and the validation status of a system-under-test (SUT) can be determined based on the records.

Methods, systems, and computer programs are presented for protecting restricted actions on encryption keys that control the management of data stored by a service provider. In some implementations, a system of the service provider receives a request to generate a data encryption policy (DEP) for data stored by the system of the service provider for a customer, the request including a reference to a customer key and an availability key. The customer key and the availability key are root keys for encrypting a data encryption key. The data encryption key is used to encrypt the data stored by the service provider for the customer. Further, destructive changes to the availability key require receiving an approval from an account of the service provider. The system of the service provider validates the DEP. The system of the service provider stores the DEP based on the validation.

A requirements to test (R2T) system is implemented, which provides an automated system by which a user interface (UI)-test automation script package is generated and the generated test scripts therein are executed against software. A visualized workflow is translated into some machine-consumable formatted file. The translated workflow is utilized by an artificial intelligence driven automated R2T engine to discover paths through the workflow, a series of executable steps for the paths that detail how the software will be used, and ultimately test scripts that are generated using pre-defined validation templates. An automation platform executes the test scripts through the software associated with the workflow, which automatically captures evidence of the executed test scripts to fulfill computer system validation requirements. The R2T system provides an automated solution for test script creation and system validation to expedite the validation process and thereby streamline a software's time to market.

A computer-implemented method for validating supplier data is provided. The method includes accessing a spend management interface of a spend management system. The spend management interface may receive supplier data from a supplier computer via user interface widgets of the spend management interface. A country identifier is received from the supplier computer via a country widget and a currency identifier is received via a currency widget of the user interface widgets. One or more parameters associated with the country identifier and currency identifier are identified within a validation database of the spend management system and customized user interface widgets are generated based on the one or more parameters. The spend management interface is electronically updated to present the customized user interface widgets to the supplier computer. Supplier data is received from the supplier computer via the customized user interface widgets and the supplier data is programmatically validated.

A method for a computer aiding access to a service by a device provided with data acquirer and communicator. The service being accessible only subject to at least one condition. After having obtained identification data of a user, from the data acquirer and from an identification document, the identification data comprising at least one photograph of the user and a characteristic of the user, are transmitted to a validation system. In response, a validation confirming the validity of the identification document is received. A digital certificate comprising a photograph of the user and the characteristic obtained is then created and stored. The digital certificate configured to be used to obtain the characteristic and the photograph. The photograph is compared to a real face to validate the characteristic. The service being accessed in response to the validation of the characteristic.

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.

The present invention proposes a method for issuing green certificates in a time-sharing and step-by-step manner by dynamically binding renewable energy, which belongs to the technical field of green certificate issuance. First, the present invention collects the active power and timestamp of power generation equipment in a fixed period to form collected data, divides independent windows according to energy type, and calculates real-time power generation based on the collected data; and carries out time-sharing and step-by-step issuance by comparing real-time power generation with preset benchmark power: if the power meets the standard, the certificate will be issued immediately; if the standard is not met, the power will be stored in a scattered power pool. In this process, the present invention calculates the window power generation characteristics of the independent window, binds the green certificate with the window power generation characteristics to generate an irreplaceable digital green certificate and writes it into the blockchain. When the user cancels, the system verifies the data integrity and feature vector similarity, and it can be cancelled if it meets the standard. The present invention accurately issues green certificates through the above design, strengthens the association between green certificates and power generation characteristics, and ensures data security and traceability.

A system validates code ownership of software components identified in a build process. The system receives a pull request identifying a set of software components. The system analyzes code ownership of each software component using machine learning. The system provides features describing the software components as input to a machine learning model. The system determines based on the output of the machine learning model, whether the code ownership of the software component can be determined accurately. If the system determines that a software component identified by the pull request cannot be determined with high accuracy, the system may block the pull request or send a message indicating that the code ownership of a software component cannot be determined accurately.

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.

The invention relates to a computer-implemented method for formulating executable specifications in the context of system development and / or system validation of a functional system for a target device, in particular for a motor vehicle, comprising the following steps: - providing at least one model view of a functional system comprising one or more functions (F, F1, F2, F3, F4) for controlling or regulating a target device; - providing a selection interface designed for selecting and changing system parts by a user in the provided first model view; - transforming and displaying the selected and / or changed system parts in the first model view in at least one corresponding further model view for the user; - providing a specification and release interface designed for selecting and / or checking and / or further adapting the system parts displayed in the at least one corresponding further model view or changing and designed for releasing the changes to the system made by the user in the first model view and / or in the at least one corresponding further model view; - automatically adopting the released changes to the system into the at least one corresponding further model view.

The invention provides a new energy and FACTS control strategy-containing power system transient stability evaluation method, which fuses a multi-head self-attention mechanism and a sliding window dynamic graph attention mechanism, extracts global time sequence features and local topological features in a power system fault process, realizes feature adaptive fusion through a GateFusion mechanism, and improves the power system transient stability evaluation accuracy. And the model discrimination capability is improved. In order to solve the problem of model adaptability caused by power grid topology change, a transfer learning sample enhancement strategy based on hierarchical clustering is provided, and the generalization performance of the model in a new topology scene is effectively improved in combination with a staged fine adjustment method. Experiments are verified on the basis of an improved IEEE 39 node system and an NPCC 140 node system, and results show that the method has higher evaluation accuracy and stability compared with a traditional model under the topological change condition, and meets the requirement for real-time stability evaluation of a power system under the complex operation working condition.