Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

7 results about "Research worker" patented technology

Research process planning method and device, electronic equipment and readable storage medium

PendingCN120086353AResourcesText database indexingResearch workerData science
The invention discloses a research process planning method and device, electronic equipment and a readable storage medium, and relates to the technical field of scientific research, and the method comprises the steps: carrying out the understanding analysis of key research information, carrying out the article retrieval according to a determined search phrase, and obtaining a target article set, and determining a target research direction according to the key research information and the target article set after the structured hierarchical representation, and planning a research process based on the target research direction, so that the problem that the research process is difficult to carry out during literature review and research process planning in the professional technical field can be solved. The scientific research process planning method solves the technical problems that the scientific research process planning method depends on manual retrieval and analysis of researchers and has high professional quality requirements on the researchers, and the technical effects of improving the intelligence degree and efficiency of scientific research process planning, providing comprehensive and accurate research support for the researchers, accelerating the scientific research process and improving the scientific research efficiency and quality are achieved.
Owner:INSPUR SUZHOU INTELLIGENT TECH CO LTD

Interactive discussion platform construction method based on knowledge graph

The invention relates to an interactive discussion platform construction method based on a knowledge graph, and belongs to the field of discussion. A task initiator constructs a research task framework; the research task framework and the research tasks in different fields are distributed to researchers in the corresponding fields; the researchers carry out association analysis on the received research tasks; obtaining an answer, generating a conclusion and reporting the conclusion to the task initiator; the task initiator performs primary examination and approval on each conclusion and sends a primary examination and approval result of each conclusion to summarizing personnel; after summarizing by the summarizing personnel, feeding back to the task initiator for secondary examination and approval; after secondary examination and approval, outputting a research report; according to the invention, standardization and intellectualization of the discussion process are realized, high-efficiency discussion communication is supported, and an effective conclusion is output.
Owner:BEIJING INST OF ASTRONAUTICAL SYST ENG

System

An object of the system according to the embodiment is to promote academic research and education to general people through provision of detailed information on ancient organisms and interactive experience.SOLUTION: A system includes a selection unit, an information providing unit, an interaction unit, a restoration unit, and a sharing unit. The selection unit allows a user to select a specific ancient organism. The information providing unit provides detailed information about characteristics and behavioral patterns of the ancient organism selected by the selection unit. The dialogue unit allows the user to have a dialogue or an interaction with an ancient creature on the basis of the information provided by the information providing unit. The restoration part restores the ancient creature by utilizing the generation AI. The sharing unit shares the model generated by the restoration unit and the simulation result with a researcher and an expert.SELECTED DRAWING: Figure 1
Owner:SOFTBANK GROUP CORP

Award Recommendation Letter Drafting Systems and Related Methods

Implementations of a method of forming a draft recommendation letter for an award may include, receiving a selection of a researcher; determining at least one award the researcher may be eligible for using an awards database; displaying the at least one award; receiving a selection of the at least one award; in response, using a trained model, identifying a set of specifically relevant scholarly works or specifically relevant recognitions; generating an academically formatted list of the specifically relevant scholarly works or specifically relevant recognitions; generating a set of adaptable passages; generating a set of recommended characteristics; generating recommendation text; outputting the recommendation text, the set of adaptable passages, the set of recommended characteristics, and the academically formatted list of scholarly works or recognitions as a draft recommendation letter; and providing the draft recommendation letter in a user editable format configured for the user to submit to an awards committee.
Owner:ACADEMIC ANALYTICS LLC

Screening methods and related equipment for clinical trial institutions based on artificial intelligence

The present application provides a method and related equipment for screening clinical trial institutions based on artificial intelligence, and relates to the field of computer technology. In the method, basic information, historical project experience, equipment facilities and researcher qualifications of clinical trial institutions are obtained; information extraction of basic information, historical project experience, equipment facilities and researcher qualifications is performed using a pre-trained neural network model to obtain institution information, project information, equipment information and personnel qualification information; an association relationship between institution information, project information, equipment information and personnel qualification information is established, and a recommendation model is constructed based on the association relationship; screening conditions are obtained, and information extraction of the screening conditions is performed to obtain screening keywords; based on the screening keywords, a recommendation model is used to select a clinical trial institution that meets the preset evaluation conditions from multiple clinical trial institutions to be screened, and the selected clinical trial institution is recommended, so as to realize intelligent screening.
Owner:BEIJING ZHUOYUE WEILAI INT MEDICINE TECH DEV CO LTD