7 results about "Specialized knowledge" patented technology

We provide the system. [Solution] A means for a person with specialized knowledge to input that knowledge and speaking style as information, A method for training an AI model using natural language processing technology based on that input information, A means of storing and making available trained AI models on the platform, A means for users to search for AI models through the platform and begin interacting with them, A means by which an AI model generates a response to that AC input and sends it back to the user, A means of providing responses as an interactive learning experience and enhancing immersion through visual and auditory means, A system that includes this.

Disclosed herein are systems and methods for aggregating knowledge from a plurality specialized knowledge models (KMs). In one aspect, an exemplary method includes: receiving a query; analyzing the query to determine that the query is directed to different subject matter areas; selecting a plurality of specialized KMs each having respective expertise in one of the different subject matter areas of the query; generating a first sub-query directed to the first subject matter of the query and a second sub-query directed to the second subject matter of the query; transmitting the first sub-query for processing by the selected first specialized KM; obtaining a first response from the first specialized KM based on the first sub-query; transmitting the second sub-query and the first response from the first specialized KM for processing by the selected second specialized KM; and generating an aggregated response from the second specialized KM.

In some embodiments, an RPA design interface exposes a set of DevOps activities for creating a DevOps pipeline. Exemplary DevOps activities include activities for pulling a target RPA workflow from a code repository, testing, building, and deploying the respective RPA workflow to a client's production environment. The pipeline may then be executed by conventional RPA robots, as any other RPA workflow. Endowing an RPA design tool with DevOps functionality substantially facilitates RPA development by enabling RPA developers to carry out DevOps without requiring specialized knowledge of DevOps software. Some embodiments further enable RPA developers to create complex DevOps pipelines combining DevOps activities with other robotic activities, such as interacting with GUIs, spreadsheets, and electronic communication applications, among others.

The present invention provides a vibration notification device that allows for easy determination of the magnitude of vibrations at the ground surface of a planned building construction site without requiring specialized knowledge. [Solution] The vibration notification device 10 is a vibration notification device that notifies the magnitude of vibrations on the ground surface G of the planned construction site of a building H, and comprises a vibrating member 20 that vibrates at a target frequency Ft according to the design of the building H when the ground surface G vibrates, a voltage generating unit 30 attached to the vibrating member 20 that deforms in conjunction with the vibration of the vibrating member 20 and generates a voltage according to the amount of deformation, and a notification unit 40 that notifies the magnitude of vibrations in a manner according to the magnitude of the voltage generated by the voltage generating unit 30.

The present invention relates to a knowledge base-based chemical substance toxicity prediction service provision method comprising the steps of: collecting first chemical substance data related to a target chemical substance from a first chemical substance database; collecting second chemical substance data related to the target chemical substance from a second chemical substance database that is different from the first chemical substance database; collecting specialized knowledge related to the target chemical substance from a knowledge base storing chemical substance data; generating fused data by fusing the first chemical substance data and the second chemical substance data; and fusing the fused data and the specialized knowledge. The toxicity of a chemical substance may be predicted without directly performing a test on the chemical substance.

Disclosed herein are systems and methods for aggregating knowledge from a plurality specialized knowledge models (KMs). In one aspect, an exemplary method includes: receiving a query; analyzing the query to determine that the query is directed to different subject matter areas; selecting a plurality of specialized KMs each having respective expertise in one of the different subject matter areas of the query; generating a first sub-query directed to the first subject matter of the query and a second sub-query directed to the second subject matter of the query; transmitting the first sub-query for processing by the selected first specialized KM; obtaining a first response from the first specialized KM based on the first sub-query; transmitting the second sub-query and the first response from the first specialized KM for processing by the selected second specialized KM; and generating an aggregated response from the second specialized KM.

This invention relates to the interdisciplinary field of maritime safety supervision in transportation and artificial intelligence, and discloses an intelligent auxiliary method and system for Port State Control (PSC) inspections of liquefied natural gas (LNG) vessels. The method includes structured processing and relational mapping of multi-source basic data, semantic storage of maritime regulatory texts in parent-child segmentation, and generation of a specialized knowledge base data with a five-dimensional relational mapping network. Responding to the identification information of the vessel to be inspected, the method calls upon the specialized knowledge base data and performs calculations using a risk analysis model combining a rule engine and machine learning classification to generate personalized inspection checklist data labeled with risk level, high-risk inspection areas, and inspection priorities. Through the synergy of the method and system, the method addresses pain points such as inefficient regulatory retrieval for LNG vessel PSC inspections, reliance on experience for defect determination, and cumbersome report generation, significantly improving inspection efficiency and accuracy, standardizing the inspection process, and enabling personalized training for professionals and continuous system optimization.