53 results about "Digital artifact" patented technology

Methods and systems for generating a sharable script related to an input digital model on a digital platform are provided. The method includes receiving a user request indicative of a digital task involving an input digital model, and retrieving a corresponding input digital model file. Then, determining characteristic attributes of the input digital model, where the characteristic attributes include digital artifacts generated from the input digital model file. Then, selecting from a collection of templates, using a machine learning (ML) engine, a template matching the characteristic attributes of the input digital model. The ML engine may be trained on documentations of digital tools integrated into the digital platform, a resource-capability mapping of the digital platform, and sample digital thread orchestration scripts collected through past uses of the digital platform. Finally, the method includes generating the sharable script that implements the digital task, based on the selected template.

Methods and systems for a document review process are provided. The method includes receiving an input digital model representation comprising at least one externally-accessible model endpoint for generating a digital artifact. Then, generating a document splice comprising access to multiple document subunits, with at least one document subunit written in a natural language and comprising the digital artifact; the access to each document subunit is provided through an externally-accessible document endpoint for the subunit. Then, generating a document by combining the document subunits, and generating a view associated with the document, based on an user authorization result including selective access rights to the document subunits. The view comprises access to the digital model representation, the digital artifact, each document subunit, and the document. Finally, receiving a user input and updating, via one of the externally-accessible document endpoints, the document splice based on the user input.

Methods and systems for generating a sharable script related to an input digital model on a digital platform are provided. The method includes receiving a user request indicative of a digital task involving an input digital model, and retrieving a corresponding input digital model file. Then, determining characteristic attributes of the input digital model, where the characteristic attributes include digital artifacts generated from the input digital model file. Then, selecting from a collection of templates, using a machine learning (ML) engine, a template matching the characteristic attributes of the input digital model. The ML engine may be trained on documentations of digital tools integrated into the digital platform, a resource-capability mapping of the digital platform, and sample digital thread orchestration scripts collected through past uses of the digital platform. Finally, the method includes generating the sharable script that implements the digital task, based on the selected template.

A computerized platform enables secure, policy-compliant creation, governance, and monetization of digital artifacts produced by Al-driven “persona” agents in regulated domains (e.g., healthcare, finance). For each agent session, a federated compliance-token generator issues a cryptographically signed token embedding the full delegation chain, credential lineage, real-time policy snapshot, monetization rules, expiration and revocation data. As artifacts or workflows cross organizational or jurisdictional boundaries, a token inheritance module can subdivide, transfer, renew, or revoke the token while appending each event to an immutable, cryptographically linked audit trail. Every agent output is encapsulated as a digitally signed artifact that is indelibly linked to its originating compliance token and enriched with provenance, consent, and service metadata. A permissioned blockchain (or sharded distributed ledger) functions as an asset registry that immutably stores artifacts, tokens, and chronological records of creation, access, transfer, consent change, and policy updates. A smart-contract engine automates revenue allocation and settlement, ensuring continuous traceability, privacy protection, and financial compliance across institutional boundaries.

Systems and methods disclosed herein automatically authorize, audit, and manage usage of protected digital content via agentic artificial intelligence (AI) models. A data access / usage request is received (e.g., from a graphical user interface) that is associated with digital assets licensed from third parties. The system uses a first AI agent set to identify the digital content and retrieve corresponding access policies from a distributed database. The system uses a second AI agent set (same as or different from the first AI agent set) to evaluate the request against the retrieved policy to generate a permission set and / or settlement instructions. The system uses a third AI agent set (same as or different from the first and / or second AI agent sets) to embed digital watermarks and / or cryptographic signatures into the accessed content, and to record an audit trail of access, authorization, and / or settlement events in a distributed ledger or database.

Methods and systems for generating a sharable model splice of a digital engineering (DE) model are provided. The method comprises receiving a DE model file in a native file format; extracting model data; storing the model data in a storage area; generating external, commonly-accessible splice functions that enable external access to digital artifacts derived from the model data; and generating the sharable model splice, which comprises access to a selective portion of the digital artifacts, and access to at least one of the splice functions. The splice functions provide addressable API or SDK endpoints that enable access by third-party applications and users to the digital artifacts without access to an entirety of the DE model file and without requiring direct engagement with a DE tool associated with the DE model type. These endpoints also provide a unified programming interface to sharable model splices generated from DE models.

Methods and systems enabling multimodal inputs for interacting with a live digital object are provided. The system receives the live digital object which includes a digital artifact extracted from a digital model file through a model representation. The system receives a user's security level and determines the user's access permission and modification permission to access and modify the digital artifact. The system accesses a multimodal interface configured to receive a conversational input and a spatial input, outputs the digital artifact to the multimodal interface based on tire access permission, receives from the multimodal interface a conversational input and a spatial input from tire user, and generates a modified digital artifact from the digital artifact via the digital model representation, based on the modification permission and on the conversational or spatial input. The multimodal interface may include conventional interfaces (GUIs / APIs), conversational interfaces (text / voice), and spatial computing interfaces (VR / AR / MR / gestural).

Systems and methods are disclosed comprising techniques for signal processing, such as receiving a first digital artifact comprising unstructured alphanumeric signal data indicating contextual information associated with a decision logic condition, identifying a set of non-compliant alphanumeric signals from the unstructured alphanumeric signal data, generating a set of masking elements comprising a mapping to the set of non-compliant alphanumeric signals, generating a second digital artifact comprising alphanumeric signal data that substitutes the identified non-compliant alphanumeric signals with the set of masking elements, determining a set of signal domain categories for the second digital artifact corresponding to alphanumeric signal properties satisfied by the alphanumeric signal data of the second digital artifact, generating a composite alphanumeric signal for the second digital artifact based on the determined set of signal domain categories, and generating for display at a user interface a set of guidance artifacts generated using the composite alphanumeric signal.

Methods and systems enabling multimodal inputs for interacting with a live digital object are provided. The system receives the live digital object which includes a digital artifact extracted from a digital model file through a model representation. The system receives a user's security level and determines the user's access permission and modification permission to access and modify the digital artifact. The system accesses a multimodal interface configured to receive a conversational input and a spatial input, outputs the digital artifact to the multimodal interface based on the access permission, receives from the multimodal interface a conversational input and a spatial input from the user, and generates a modified digital artifact from the digital artifact via the digital model representation, based on the modification permission and on the conversational or spatial input. The multimodal interface may include conventional interfaces (GUIs / APIs), conversational interfaces (text / voice), and spatial computing interfaces (VR / AR / MR / gestural).

Methods and systems for generating a sharable model splice of a digital engineering (DE) model are provided. The method comprises receiving a DE model file in a native file format; extracting model data; storing the model data in a storage area; generating external, commonly-accessible splice functions that enable external access to digital artifacts derived from the model data; and generating the sharable model splice, which comprises access to a selective portion of the digital artifacts, and access to at least one of the splice functions. The splice functions provide addressable API or SDK endpoints that enable access by third-party applications and users to the digital artifacts without access to an entirety of the DE model file and without requiring direct engagement with a DE tool associated with the DE model type. These endpoints also provide a unified programming interface to sharable model splices generated from DE models.

Systems and methods are disclosed comprising techniques for signal evaluation, such as receiving a natural-language query for information associated with a first digital artifact set of a monitored system, retrieving a second digital artifact set mapped to the first digital artifact set, calculating a performance differential report indicating change in one or more operational performance characteristics from the first digital artifact set to the second digital artifact set, determining at least one historical dialogue record using the received natural-language query, causing a generative machine learning model to generate a narrative response to the received natural-language query using the calculated performance differential report and the at least one historical dialogue record, and transmitting the generated narrative response to the received natural-language query for display at a user interface.

Methods and systems for a document review process are provided. The method includes receiving an input digital model representation comprising at least one extemally-accessible model endpoint for generating a digital artifact. Then, generating a document splice comprising access to multiple document subunits, with at least one document subunit written in a natural language and comprising the digital artifact; the access to each document subunit is provided through an extemally-accessible document endpoint for the subunit. Then, generating a document by combining the document subunits, and generating a view associated with the document, based on an user authorization result including selective access rights to the document subunits. Tire view comprises access to the digital model representation, the digital artifact, each document subunit, and the document. Finally, receiving a user input and updating, via one of the extemally-accessible document endpoints, the document splice based on the user input.

A computerized platform enables secure, policy-compliant creation, governance, and monetization of digital artifacts produced by AI-driven “persona” agents in regulated domains (e.g., healthcare, finance). For each agent session, a federated compliance-token generator issues a cryptographically signed token embedding the full delegation chain, credential lineage, real-time policy snapshot, monetization rules, expiration and revocation data. As artifacts or workflows cross organizational or jurisdictional boundaries, a token inheritance module can subdivide, transfer, renew, or revoke the token while appending each event to an immutable, cryptographically linked audit trail. Every agent output is encapsulated as a digitally signed artifact that is indelibly linked to its originating compliance token and enriched with provenance, consent, and service metadata. A permissioned blockchain (or sharded distributed ledger) functions as an asset registry that immutably stores artifacts, tokens, and chronological records of creation, access, transfer, consent change, and policy updates. A smart-contract monetization engine allocates revenue or royalties based on artifact usage and institutional agreements, writing each billing event atomically to the ledger. Collectively, the system delivers continuous end-to-end traceability, privacy preservation, and automated financial settlement across diverse institutional boundaries.

Systems and methods for machine learning-informed response and augmentation of incomplete queries and query artifacts that include executing parallel search engines in a machine learning pipeline based on an input of a query to retrieve one or more corpora of candidate digital artifacts, constructing a merged corpus of candidate digital artifacts based on the retrieved corpora of digital artifacts, ranking each candidate digital artifact of the merged corpus of candidate digital artifacts based on a computed relevance to the input query, and returning, via a user interface, a response to the input query based on a subset of prioritized candidate digital artifacts most relevant to the input query.

The invention relates to the technical field of display screen defect visual inspection, in particular to an LED display screen defect visual inspection method and system, and the method comprises the following steps: collecting an image of an LED display screen; performing gamma correction and noise suppression on the image of the LED display screen to obtain a preprocessed image; local contrast enhancement and adaptive threshold segmentation are applied to the preprocessed image, and candidate abnormal areas are identified; for the candidate abnormal region, extracting at least one dimension feature which comprises at least one of brightness, color, texture, edge gradient and spectral response; processing the at least one dimension feature based on a preset discrimination rule so as to distinguish real microdefects, optical artifacts and digital artifacts of the LED display screen; and outputting the type, the position and the confidence of the defect obtained by distinguishing. The detection accuracy and reliability are improved.

Methods and systems for generating a sharable script related to an input digital model on a digital platform are provided. The method includes receiving a user request indicative of a digital task involving an input digital model, and retrieving a corresponding input digital model file. Then, determining characteristic attributes of the input digital model, where the characteristic attributes include digital artifacts generated from the input digital model file. Then, selecting from a collection of templates, using a machine learning (ML) engine, a template matching the characteristic attributes of the input digital model. The ML engine may be trained on documentations of digital tools integrated into the digital platform, a resource-capability mapping of the digital platform, and sample digital thread orchestration scripts collected through past uses of the digital platform. Finally, the method includes generating the sharable script that implements the digital task, based on the selected template.

Disclosed embodiments relate to a system and process by which a photograph or other image, containing written text of a recipe, can be digitized and transformed into a digital artifact, such that an e-commerce shopping cart or grocery list of required products can be automatically assembled based on the digitization.

A computer-implemented method for electronic record classification and machine learning inference(s)-informed automated electronic communication includes obtaining one or more electronic records comprising an unstructured component, the unstructured component comprising a textual representation of a set of instructions; extracting a first set of feature vectors comprising features related to a proposed action instruction, and a second set of feature vectors comprising features related to a proposed temporal instruction; computing a first classification inference and a second classification inference that indicates a likely proposed action instruction type and a likely proposed temporal instruction; generating, by the one or more computer processors, a structured digital artifact accessible via a graphical user interface.

Methods and systems for a document review process are provided. The method includes receiving an input digital model representation comprising at least one externally-accessible model endpoint for generating a digital artifact. Then, generating a document splice comprising access to multiple document subunits, with at least one document subunit written in a natural language and comprising the digital artifact; the access to each document subunit is provided through an externally-accessible document endpoint for the subunit. Then, generating a document by combining the document subunits, and generating a view associated with the document, based on an user authorization result including selective access rights to the document subunits. The view comprises access to the digital model representation, the digital artifact, each document subunit, and the document. Finally, receiving a user input and updating, via one of the externally-accessible document endpoints, the document splice based on the user input.

Systems and methods disclosed herein automatically authorize, audit, and manage usage of protected digital content via agentic artificial intelligence (AI) models. A data access / usage request is received (e.g., from a graphical user interface) that is associated with digital assets licensed from third parties. The system uses a first AI agent set to identify the digital content and retrieve corresponding access policies from a distributed database. The system uses a second AI agent set (same as or different from the first AI agent set) to evaluate the request against the retrieved policy to generate a permission set and / or settlement instructions. The system uses a third AI agent set (same as or different from the first and / or second AI agent sets) to embed digital watermarks and / or cryptographic signatures into the accessed content, and to record an audit trail of access, authorization, and / or settlement events in a distributed ledger or database.

Systems and methods are disclosed comprising instructions to receive a request to evaluate authorization of a development service that comprises a digital artifact set, each digital artifact in the digital artifact set, access an authorization schema set available for the development service, identify an applicable authorization schema from the authorization schema set via comparing the content embeddings of the digital artifacts and the reference embeddings of the authorization schemas, retrieve a historical artifact attribute set representing tracked development actions for prior development services authorized via the applicable authorization schema, predict an authorization status for the development service using the historical artifact attribute set and the artifact attribute set, configure for display a visual representation of the applicable authorization schema and the mapped at least one digital artifact of the development service.

A system, method, and computer-readable medium enforce compliance, policy governance, and jurisdiction-aware control of digital artifacts generated by AI models. A deterministic digest of each artifact is stored in a registry, and a compliance token is generated encoding policy predicates, consent scope, jurisdictional lineage, monetization parameters, and a zero-knowledge proof component including a proof statement ID, cryptographic commitment, and verification key. A gateway verifier receives the artifact and token, verifies the signature, performs zero-knowledge proof validation without revealing regulated data, evaluates encoded policies, and renders a permit-or-deny decision. Verification results and compliance decisions are recorded via a dual-ledger atomic commit engine that updates both compliance and financial ledgers. A settlement engine calculates royalty values based on validated performance metrics and appends the results to the commit entry. Upon jurisdictional transitions, a transition engine detects boundary crossings and issues a forked compliance token with updated predicates. The system ensures verifiable, policy-aware, and jurisdictionally adaptive governance.

Dynamically aggregating an updateable digital artifact for controlling garment manufacturing includes receiving a body-material-color (BMC) specification for the manufacture of a garment, a selection of a base set of manufacturing parameters corresponding to the BMC specification and the generation of at least one data record associating a unique identifier for the garment with the base set of manufacturing parameters. For each corresponding process step in the manufacture of the garment, at least one data record is queried in order to retrieve only selected portions of the parameters associated with the corresponding process steps. Then, the selected portions are supplied to a garment processing apparatus for the corresponding process step, and observed metrics of the apparatus are read back during the corresponding process step. Finally, the observed metrics are stored in the data record in association with the unique identifier in supplement to the base set of manufacturing parameters.

Systems and methods are disclosed comprising instructions to receive a request to evaluate authorization of a development service that comprises a digital artifact set, each digital artifact in the digital artifact set, access an authorization schema set available for the development service, identify an applicable authorization schema from the authorization schema set via comparing the content embeddings of the digital artifacts and the reference embeddings of the authorization schemas, retrieve a historical artifact attribute set representing tracked development actions for prior development services authorized via the applicable authorization schema, predict an authorization status for the development service using the historical artifact attribute set and the artifact attribute set, configure for display a visual representation of the applicable authorization schema and the mapped at least one digital artifact of the development service.

Techniques are described for electrical equipment management. Embodiments include a method for electrical equipment refit management, comprising: receiving a selection of an order of an existing electrical equipment system to disassemble and, in response, retrieving and providing a plurality of disassembly instructions; performing an iterative disassembly process to manage the disassembly of the existing electrical equipment system. A selection of an order of a refit electrical equipment system to assemble is received and, in response, retrieving and providing a plurality of refit instructions; An iterative assembly process is performed to manage the assembly of the refit electrical equipment system. Digital artifacts of the refit electrical equipment system are recorded during performance of the plurality of refit instructions as part of the iterative assembly process. A final assembly report for the refit electrical equipment system and stored together with a unique identifier corresponding to the assembled refit electrical equipment system.

A machine learning-based method for accelerating a detection and disposition of content anomalies in a target digital artifact includes identifying, by one or more computers, a digital artifact underpinning a digital artifact assessment request; detecting, via the one or more computers, a plurality of content deviations in the target digital artifact based on a context-sensitive artifact assessment protocol obtained from the context-sensitive artifact assessment protocol repository; identifying, via a digital artifact assessment user interface, a sequence of one or more inputs corresponding to a rejection of a first subset of the plurality of content deviations; and based on identifying the rejection of the first subset of the plurality of content deviations: computing, via the one or more computers, a system-generated adaptation proposal for each content deviation underpinning the first subset of the plurality of content deviations based on machine learning-derived policies underpinning the context-sensitive artifact assessment protocol.

The Fyber platform, or "'Fyber", introduces a trust layer to any network infrastructure, addressing the issue of verifying the accuracy of derivative data in addition to the source data. In the digital environment where the authenticity of content is often under scrutiny, Fyber provides a mechanism for tracing any piece of information (e.g., digital artifact) back to its original source efficiently. Ulis system enables users and platforms to interact with derivative data with assurance, supported by a verifiable link to its origins. Fyber enhances the tracking and authentication of derivative relationships, which could significantly reduce misinformation and increase the transparency and reliability of digital content across various sectors including media, education, law, science, medicine, engineering, and others.

Introduced here are electronic stethoscope systems designed to simultaneously monitor sounds originating from within a body under examination and the ambient environment. An electronic stethoscope system can include one or more input units that are connected to a hub unit. Each input unit may have at least one auscultation microphone and at least one ambient microphone. To improve the quality of sound recorded by an input unit, a processor can apply a noise cancellation algorithm that considers as input the audio data produced by the auscultation microphone(s) and the audio data produced by the ambient microphone(s). The audio data may be digitized directly in the input unit, and then transmitted to the hub unit for synchronization. For example, by examining the audio data produced by the ambient microphone(s), the processor may discover which digital artifacts, if any, should be filtered from the audio data produced by the auscultation microphone(s). The processor may reside within the input unit or the hub unit.

A system and method for automatically generating and transmitting a digital components acquisition request includes obtaining a digital sourcing requisition that includes a digital itemization of a plurality of physical components required for completing a plurality of real-world tasks; retrieving, from a governing artifacts database, a governing digital artifact record based on a plurality of key-value attribute pairs selectively extracted from the digital sourcing requisition; assessing the digital itemization of the plurality of physical components of the digital sourcing requisition against a plurality of multi-attribute data tuples associated with the governing digital artifact record; automatically generating a digital components acquisition request based on one or more assemblies of items transitively associated with pairwise matches generated during the assessing; and automatically transmitting the digital components acquisition request for physically sourcing items from a remote source of items.