4 results about "Machine-readable data" patented technology

Systems and methods disclosed herein perform privacy-preserving evaluations of artificial intelligence (AI) agents. A first AI agent associated with a first entity obtains a machine-readable data structure defining one or more operative boundaries for a second AI agent associated with a second entity. The system generates a unique fixed reference value representing the machine-readable data structure by applying a first transformation operation set, and transmits the unique fixed reference value to a multi-agent storage to store the value. The system receives, via the multi-agent storage, a verification artifact from the second AI agent that indicates an observed value based on internal operational data of the second AI agent corresponding to the operative boundaries. The first AI agent determines a verification status of the verification artifact by comparing the unique fixed reference value with the observed value, and autonomously generates a verification record including a representation of the verification status.

Systems, methods, and computer-readable storage media for scientific manuscript generation using large language models are disclosed. A system can include one or more processors configured to receive an input including at least one machine-readable data object divided by one or more input node identifiers, generate a multi-level resource mapping encoding associations between the input node identifiers and one or more output node identifiers, construct a set of model input parameters based on a selection of resources from the machine-readable data object, provide each set of model input parameters to a first generative model to generate an output data object, generate at least one metric for each output data object based on a comparison to a structural or coverage parameter, automatically generate modified model input parameters to regenerate the output, and generate a function that creates an annotation linking each output to at least one input node identifier.

A computer-implemented digital knowledge management system for institutional learning and decision support, comprising the following: A user interaction interface configured to receive structured institutional information from a variety of users connected to a university. This structured institutional information includes strategic issues, institutional goals, performance indicators, academic activity data, and decision-relevant input. an input processing unit that is operationally connected to the user interaction interface and is configured to capture, classify, and convert the received structured institutional information into machine-readable data sets; a collaborative culture assessment unit consisting of at least one processor and a memory in which executable instructions are stored, wherein the collaborative culture assessment unit is configured to collect and process organizational behavior data representing loyalty, engagement, cohesion, well-being and sense of community among members of the institutional leadership; a knowledge generation unit that is operationally linked to the collaborative culture assessment unit, wherein the knowledge generation unit is configured to analyze received knowledge records and generate new institutional knowledge by exploring alternative ideas, identifying new insights, and combining individual and collective institutional contributions; a knowledge exchange unit that is communicatively linked to the knowledge generation unit, wherein the knowledge exchange unit is configured to distribute the generated institutional knowledge to authorized users via controlled communication channels and structured knowledge dissemination procedures; a knowledge application unit designed to transform distributed institutional knowledge into decision support tools, including proposed strategic actions, operational recommendations, and measurable performance targets; an institutional learning repository consisting of a permanent digital storage system configured to store knowledge records, decision outcomes, institutional experiences, and insights gained from implemented decisions; a decision quality assessment processor that is operationally linked to the institutional learning repository and the knowledge application unit and is configured to evaluate generated decisions against predefined institutional criteria, including problem-solving effectiveness, strategic value contribution, achievement of institutional goals, and contribution to organizational learning; and a coordination processor configured to coordinate the operational interaction between the collaborative culture assessment unit, the knowledge generation unit, the knowledge sharing unit, the knowledge application unit, the institutional learning repository, and the decision quality assessment processor, such that the collaborative organizational conditions influence knowledge generation, knowledge distribution, knowledge utilization, and the subsequent evaluation of strategic decisions.

A self-propelled construction machine includes a DGNSS rover unit including a computing and evaluation unit, configured such that, on the basis of satellite signals and correction signals of a reference station, construction machine position data describing the position of a construction machine reference point are determined. The computing and evaluation unit generates at least one machine-readable data set, in particular a QR code, which is shown on a display for a reference station position data set stored in a reference station position data memory device. The QR code can be scanned with a smartphone on which a map service with a navigation function is installed, so that the setup point on which a reference station is to be set up can be easily found on the site. In an alternative embodiment, the data can also be scanned using an NFC receiving unit (NFC reader) based upon RFID technology.