3764 results about "Knowledge management" patented technology

The invention discloses a tourism service agent system and method based on a multi-modal large model. The system comprises five parts: a user interaction interface, which is used for receiving a user request and returning a response; the agent center is used for performing intention understanding, task planning and response generation through a multi-modal large language model; and the tool calling module is used for executing specific API business operation. According to the intelligent tourism service system, the work of each module is coordinated through the intelligent agent center, a complete closed loop from user intention understanding to service execution is realized, accurate, reliable, whole-course and personalized intelligent tourism service can be provided, and the problems that a traditional tourism service system is single in function, inaccurate in information and lack of action ability are effectively solved.

The invention provides an anesthesia virtual simulation training system fusing knowledge, skills and a thinking closed loop. The anesthesia virtual simulation training system comprises a medical knowledge base module, a clinical thinking module, a skill training module, an examination question brushing module, a knowledge graph module and an intelligent platform bottom layer framework. The intelligent platform underlying architecture comprises a data middle platform, an AI engine and a 3D engine, collects student behavior data of each module, constructs a dynamic student ability portrait through a gradient boosting tree algorithm and a collaborative filtering recommendation model, analyzes knowledge blind areas and skill shortages, plans a personalized learning path and pushes targeted training content, and provides a personalized learning result. A closed-loop process of evaluation, learning, practice and re-evaluation is formed; and deep fusion of theoretical knowledge, clinical thinking and skill operation is realized through a cross-module collaboration mechanism. The problems that traditional anesthesia teaching is high in practical operation risk, scattered in resource and insufficient in individuation are solved, and the clinical comprehensive ability and teaching quality of anesthetists are effectively improved.

The disclosed concepts relate to automatically identifying conditions in a video game to trigger a help session. When a help session is triggered, another video game player or machine learning model can temporarily take over for the current video game player until an ending condition is reached. Help session triggering can be designated by evaluation of prior gameplay data of other video game players to identify in-game conditions that may tend to cause user disengagement, such as in-game conditions that are associated with difficult in-game goals or negative in-game consequences.

The disclosed concepts relate to providing help sessions for video game players. For instance, a help session starting state can be obtained from a video game session by a particular video game player. The help session starting state can be loaded into a help session. During the help session, inputs received from a client device of a video game helper can be directed to the help session. After the help session, an updated help session state can be obtained. In some cases, the particular video game player can choose to accept the updated help session state and proceed with video game play from that state. In other cases, the particular video game player can choose to reject that state and return back to the help session starting state.

The embodiment of the invention provides a mobile banking multi-mode interaction method and system based on a language user interface, and relates to the field of financial science and technology, the method comprises the following steps: obtaining input information of multiple modes input by a user, and fusing the input information of multiple modes to obtain a unified natural language instruction; inputting the unified natural language instruction into a large language model for intention classification and parameter extraction to obtain an operation intention corresponding to the unified natural language instruction and a corresponding service parameter; and executing the operation intention according to the unified natural language instruction and the service parameters. The problem that in the prior art, multi-mode input information in mobile phone banking application is mutually separated, and user intentions cannot be analyzed and understood in a collaborative mode is solved.

The disclosed concepts relate to managing help sessions within a video game based on age information associated with a video game player. For example, systems and associated methods scan perform age-based restriction of a help session using a variety of techniques. For instance, automated helpers can be selected for help sessions involving children, or messaging between a human helper and a child can be restricted using a range of communication techniques described herein.

The invention provides an intelligent virtuality and reality combined psychological health service device based on digital elements, and aims to improve the accuracy and individuation level of psychological health management. The device firstly obtains the physiological indexes, behavior data, environmental factor data and social economic data of an individual, and carries out multi-modal fusion to form comprehensive feature data. Based on this, a psychological health environment factor model is constructed to quantify the influence of the external environment on the individual psychological state, and the calculation weight and prediction logic of the negative emotion large model are optimized. And the optimized negative emotion large model is used for identifying an individual emotion state, analyzing factors such as social environment, economic pressure and life events in combination with the mental health environment factor model, and generating an individual mental health assessment result. And according to an evaluation result, the virtual digital doctor provides intelligent pre-inquiry and other services. Through data-driven intelligent analysis and virtual-real combined intervention means, the accessibility, accuracy and intervention effect of psychological health services are improved.

The invention relates to the technical field of computers, and discloses a user role and authority management method, system and device and a storage medium, and the method comprises the steps: accessing multi-source data, carrying out the preprocessing, and constructing a context snapshot; receiving request information, and analyzing a user intention; based on the context snapshot and the request context, reasoning, dynamic role affiliation judgment, authority demand assessment, risk assessment and decision suggestion output are carried out through a large model; the decision suggestion is converted into an executable technical instruction so as to dynamically adjust the user permission, the technical instruction comprises application program interface calling, configuration changing or strategy rule updating, and user permission adjusting comprises role distribution and permission granting or revocation; and in response to an execution result of the received technical instruction, a user behavior and an audit log, analyzing a decision effect, identifying a decision deviation, and optimizing the large model through a feedback learning mechanism. According to the invention, the flexibility, safety and efficiency of authority management can be improved.

The invention relates to the technical field of intelligent education, in particular to an AI-based nursing teaching scene construction and evaluation system. According to the system, a dynamic case script is generated through historical case data, and a virtual patient physiological model is constructed; creating three teaching scenes of community follow-up visit, emergency rescue and traditional Chinese medicine nursing fusion by using a mixed reality technology; a personalized learning portrait of the student is constructed through a pre-test, and accurate matching between the ability of the student and the teaching content is formed; a double-track system skill training module is built, and AI tutor guidance and teacher guidance are integrated; and an ability evaluation system based on operation data is established, and intelligent pushing of adaptive training content is realized. The problems that in traditional nursing teaching, scene authenticity is insufficient, personalized training is insufficient, and clinical thinking is difficult to cultivate are solved, and the clinical operation skill and decision judgment ability of students are improved.

A technique for resource allocation estimation for media content items is described. In accordance with the described techniques engagement by a set of user accounts with respective media content items of at least one media content service provider system is obtained. The media content service provider system and / or a payment service system generates historical streaming data for the respective media content items based on the engagement of the set of user accounts. An estimated streaming count of a media content item over a time period based on the historical streaming data for the respective media content items is determined. An estimated resource allocation for the artist is determined based on the estimated streaming count and an advance of funds is facilitated based on the estimated resource allocation to an account of the artist during the time period.

The invention discloses a psychological health analysis method and apparatus, an electronic device and a storage medium, through the application, dynamic psychological assessment is generated through multi-modal data fusion analysis, and personalized scenarized dynamic interaction content is generated based on an assessment result and an interaction history, so that the psychological health analysis efficiency is improved. Meanwhile, continuous learning and correlation analysis are carried out on the psychological state of the user by utilizing a multi-dimensional memory architecture, so that the system can understand the change of the user state and adjust an interaction strategy like a human consultant, and therefore, the technical problems of insufficient emotional distraction and credibility of the user due to the adoption of a standardized reply mode in the prior art can be solved, and the user experience is improved. The technical effects of enhancing the emotion affinity of the system, establishing a continuous and credible interaction relationship and improving the durability of the psychological intervention effect are achieved.

Techniques for creating and updating natural language summaries representing personalized user knowledge (e.g., user interests, user affinities, user preferences, family structure, routines, and other insights) based on conversational interactions with and other natural language content available to an AI system are described. In some embodiments, to provide a more personalized service, a system can use a generative model to summarize learnings about a user and determine helpful nuanced insights about the user such as “the user is learning how to play guitar.” This “user knowledge” can be updated based on further (later) conversations with the user, where updating can involve negating or deleting stored information, adding to or modifying stored information, etc.

The invention discloses a medical review and publication quality control system based on deep learning and medical knowledge, and relates to the technical field of medical information processing, and the system comprises a medical knowledge enhancement module which is used for carrying out the named entity recognition and relation extraction technology based on a multi-source fusion medical knowledge system, constructing a structured medical knowledge graph and carrying out intensive training; the multi-dimensional examination and analysis module is used for performing multi-dimensional evaluation on the manuscript based on the medical knowledge graph; the intelligent interaction and feedback module is used for displaying the evaluation result of each dimension through a visual interface; and the publishing quality management and control module is used for sequentially executing whole-process publishing supervision of standardized monitoring, quality inspection and abnormal intervention on the manuscripts passing the examination and analysis. The manuscript reviewing efficiency is greatly improved, and the requirements of high-frequency and rapid publishing of medical scientific research are met; the problem of review difference caused by subjective factors of a manuscript reviewer is solved, and the stability and reliability of the assessment result of the same manuscript are ensured through a standardized and quantitative assessment system.

The invention discloses a child brain health intelligent management system and method based on a large model, and relates to the technical field of artificial intelligence and health cross.The system is characterized in that a data set construction module is used for obtaining multi-modal medical data and daily data of each preset child and performing fusion processing to obtain a data set; the model training module is used for training a preset large model based on the data set to obtain a child brain health management large model; and the personalized brain health suggestion generation module is used for generating a corresponding personalized brain health management scheme according to the multi-modal medical data and daily data of the target child by using the child brain health management large model. According to the method, the defects of a traditional child brain health management mode in the aspects of data integration, model analysis, personalized management and the like are effectively overcome, the accuracy, comprehensiveness and personalized level of child brain health management are greatly improved, and more powerful guarantee is provided for child brain health.

The invention discloses a family education auxiliary method and interaction system based on an intelligent agent mode, and belongs to the technical field of data processing, and the method specifically comprises the steps: obtaining the multi-source data of family education, building an intelligent agent model of cross-dimension situation perception capability based on the multi-source data, and enabling the intelligent agent model to carry out the multi-dimension situation perception capability according to the evolution trend of three-dimensional association, the intelligent agent model automatically deduces the appearing negative education situation, when a risk node is predicted, an education intervention scheme is generated, the education intervention scheme comprises a learning task and a real-time prompt for a parent communication mode, and in the execution process of the education intervention scheme, the intelligent agent model carries out different levels of task pushing on students and parents at the same time, so that the education intervention effect is improved. The student side obtains learning tasks, the parent side obtains interactive guidance, cooperative auxiliary optimization is carried out on family education, learning progress and parent-child communication can be promoted in the same education process, and it is ensured that the education process has dynamic adaptability and systematic management ability.

A task management system detects condition(s) are satisfied with respect to task record(s), and triggers action(s) at least in part by substituting information from the task record(s) into placeholder(s) of user-modifiable template(s) to prompt large language model(s) for generating narrative(s) about how the condition(s) were satisfied. The triggered action(s) retrieve information from identified task record(s), substitute value(s) from the record(s) into the placeholder(s) of the user-modifiable template(s), and trigger(s) call(s) to large language model(s) to generate task completion narrative(s) or other narrative(s) for the task record(s). The narrative(s) may be stored in narrative field(s) of the record(s) for use in displaying the narrative(s) on a user interface, email notification, or other message.

An object of a system according to an embodiment is to provide optimal learning support according to individual learning needs of learners.SOLUTION: A system according to an embodiment includes a learning history analysis unit, a customized content generation unit, a comprehension degree monitoring unit, and an advice providing unit. A learning history analysis part analyzes the learning history and interest of the learner. The customized content generation unit generates learning content on the basis of the result analyzed by the learning history analysis unit. The comprehension degree monitoring unit provides the learning content generated by the customized content generation unit and monitors the comprehension degree and progress of the learner. The advice providing unit provides advice based on a result of monitoring by the comprehension degree monitoring unit.SELECTED DRAWING: Figure 1

The invention discloses a traditional Chinese medicine intelligent diagnosis and treatment system and method. The diagnosis and treatment system comprises a medical thinking layer used for clinical information reasoning decision; the expert mixed framework layer is used for refined data processing, analysis and reasoning; the clinical tool layer is used for collecting and analyzing clinical information; the interaction layer is used for providing digital human, voice, image-text and other interaction modes for patients and doctors, and the medical thinking layer and the expert mixed framework layer are in communication interaction with the interaction layer and the clinical tool layer. The diagnosis and treatment system has the advantages that expert models in different fields are combined through the expert mixed framework layer to achieve refined and intelligent support and optimization of the traditional Chinese medicine diagnosis and treatment process, the traditional Chinese medicine clinical real diagnosis and treatment process is simulated, the medical thinking layer is applied to conduct clinical information reasoning and decision making, and the diagnosis and treatment efficiency is improved. And the reliability and interpretability of the traditional Chinese medicine intelligent diagnosis and treatment paradigm are improved, so that a grassroots traditional Chinese medicine doctor can be assisted to improve the differentiation accuracy, and the popularity of traditional Chinese medicine diagnosis and treatment services is promoted.

A system and method to derive a multitude of Dynamic Governance Guiderail Directives—singularly, each one referred to as a Directive from a governance specification that comprises ethical standards, legal requirements, operational methods, and societal expectations. The collection of the multitude of individual directives comprises a directive Library. A directive Executor comprising semantic processing, analytics, dynamic monitoring, real-time feedback mechanisms, and adaptive control protocols that operates over a Non-Compliant System in concert with the directive Library to ensure compliance with the governance specification thereby transforming the Non-Compliant System into a Compliant system.

The invention provides a construction site laboratory digital management method and system based on information sharing, and the method comprises the steps: firstly collecting the information sharing demands of a quality supervision mechanism, a project owner, a grade detection mechanism, a construction site laboratory and other subjects on the business processing, supervision and guidance, cooperative management and other aspects of the construction site laboratory; secondly, building a multi-subject adaptation module by utilizing an NET research and development framework, selecting and combining functional modules according to acquired requirements to complete building, then setting a transfer node and associating subject operation authority based on a sub-pressing sharing requirement type so as to dynamically configure an information sharing approval process, and then utilizing a front-end tool with a table editing function to complete the information sharing approval process. Sharing information items are integrated according to business scenes, transfer nodes are associated, a scenarized sharing information template is generated, finally, directional information sharing among multiple subjects is executed based on the scenarized sharing information template, feedback information is collected to optimize adaptation module function combination and information sharing approval process configuration, and construction site laboratory digital efficient management is achieved.

The present invention provides a multilingual, AI-powered healthcare system integrating a personalized medical assistant, real-time clinical decision support, and closed-loop device control. The system ingests multimodal patient-generated and institutional data, applies advanced language-model-driven reasoning for clinical insights and triage, and supports regulated, auditable actuation of medical devices. Key features include multilingual overlays, role- and jurisdiction-specific visualization, co-signature enforcement, audit traceability, and seamless integration with healthcare infrastructure. A “Multilingual Overlay” is a dynamically generated display layer that the system composites in real-time from clinical text, icons, and color-coded indicators, automatically adapting its language, reading direction, terminology, visual density, and role-based data visibility to the preferences, locale, and device form-factor of each authenticated viewer. The architecture supports provider- and patient-facing use cases, agentic AI for autonomous yet regulated decision-making, and robust safety and compliance features.

The invention relates to the technical field of environment management information systems, in particular to a method and a system for extracting an ecological environment access list rule of an intelligent agent. The method comprises the steps of collecting ecological environment policy and regulation data from a plurality of data sources, and performing data cleaning and labeling to obtain a standardized text data set; training and optimizing the data set to obtain an ecological environment professional knowledge large model; designing a prompt project template including input, instructions, examples and output requirements; inputting the cleaned new policy data into the large model, and automatically extracting a structured access list rule according to a prompt template; and finally outputting and storing the rule. According to the method, automatic conversion from an unstructured policy text to a structured access rule is realized, the problems of low efficiency, poor accuracy and difficulty in updating and maintenance of a traditional manual extraction mode are effectively solved, and the intelligent level and decision support capability of ecological environment partition management and control are remarkably improved.

Systems and methods that enable, in association with a client device, a first wager to be placed on a play of a game displayed by a streaming device in which the first wager to be placed includes an amount of fiat currency and a second wager placed via the streaming device includes an amount of virtual currency. Following a placement of the first wager and responsive to a receipt, from a remote game server associated with a remote gaming platform, of first data associated with the play of the game displayed by the streaming device, the systems and methods determine, based on the received first data associated with the play of the game displayed by the streaming device, second data associated with a result of the first wager, and communicate the second data to the client device.

This disclosure describes systems that identify one or more models (e.g., large language models and / or virtual assistants) permitted to access content items stored for user accounts within a content management system. The disclosed systems can determine a model available to a user account within the content management system from among the one or more models. For example, the disclosed systems can determine one or more relationships between the user accounts within the content management system, large language models utilized by the user accounts, virtual assistants utilized by the user accounts, and content items accessed by the user accounts. The disclosed systems can determine the model for the user account according to the one or more relationships. The disclosed systems can provide a notification corresponding to the model via a user interface of a client device associated with the user account.

The invention discloses a nursing health education method and system based on a rule engine, and a medium, belongs to the technical field of medical data processing and analysis, and is used for solving the technical problems that an existing health education scheme is not formulated as a personalized education scheme, and is lack of interactivity with a patient and long-term education effect evaluation and follow-up. The method comprises the steps of determining a health propaganda and education material set of each specialized disease under a corresponding nursing path based on medical health information; extracting a propaganda and education inference rule from the health propaganda and education material set, and building a propaganda and education rule engine according to the propaganda and education inference rule; obtaining full-time health data of a patient to be propagandized and educated, and segmenting the full-time health data through the sliding window to obtain target health data; performing propaganda and education reasoning rule matching on the target health data through a propaganda and education rule engine, and determining a health propaganda and education scheme of the patient to be propagandized and educated; and pushing the health propaganda and education scheme and the corresponding test scheme to the patient to be propagandized and educated.

The invention discloses an adaptive education textbook generation method and device based on a large model, and a medium, and relates to the technical field of intelligent education, and the method comprises the steps: determining a knowledge point set which needs to be expanded currently by a learner through a knowledge graph retrieval and course outline matching algorithm based on a learner portrait data set, and generating a teaching task list; according to the individualized evidence Prompt script, generating individualized teaching content by using a controlled decoding mode of a large language model, performing content consistency verification, and rearranging the content into a customized teaching material; carrying out conflict discovery-retrieval supplement-local regeneration-format recombination on the customized textbook through a ReAct reasoning framework to obtain a high-adaptability education textbook; the teaching material can be continuously corrected and optimized in the use process, so that the generation of the high-adaptability personalized education teaching material which is correct and smooth in teaching, fit and sustainable in evolution is realized.

A Predictive Diagnostic Information Capability-Technology (PreDICT™) system (100) enables users including expert and nonexpert users to provide information regarding a condition of a subject and receive timely and accurate information regarding risk stratification, treatment options and other medical evaluation information. The illustrated system (100) generally includes a user device (102) for use by a user assisting a subject (104), a processing platform (108), and a network (106) for connecting the user device (102) to the processing platform (108). The system (100) may also involve an emergency response network (130) that includes public-safety answering points (PSAPs) (132). The processing platform (108) processes the sensor information and other information from the user device (102), determines risk stratification information as well as medical diagnosis and treatment option information based on machine learning technology, and provides output information to the user device to assist the user in treating the subject (104).

The invention relates to the technical field of intelligent wearable equipment, and provides a personal health service system based on an intelligent watch digital human, the system comprises an intelligent data analysis platform module comprising an intelligent watch end and a cloud end, the intelligent watch end comprises a digital human interaction module and a multi-source data acquisition module, the digital human interaction module constructs a multi-mode interaction mechanism based on a virtual digital human, obtains user health related information, receives a user instruction and outputs a health analysis result; the multi-source data acquisition module acquires physiological feature data and behavior activity data of a user in real time, and performs dynamic alignment and consistency verification of multi-dimensional data through a space-time association algorithm; and the intelligent data analysis platform module adopts a hierarchical collaborative architecture of edge computing and cloud deep mining to intelligently analyze and process the collected data and generate a personalized health assessment report and a dynamic intervention suggestion, so that the digital human interaction experience can be optimized, and the personalization, intelligence and naturalization of health management can be realized.

A computing system can determine a subset of users that have been affected by an event occurring in a given area. Subsequent to the event, and for each respective user of the subset of users, the system generates interactive follow-up content specifically tailored for the respective user. The system can transmit updated content data to the computing device of the respective user, causing the computing device of the respective user to present the interactive follow-up content. Based on user interaction by the respective user with the interactive follow-up content, the system can receive contextual information provided by the respective user, the contextual information corresponding to damage or loss resulting from the event as indicated by the respective user.

Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for determining and implementing the mechanisms for compiling and / or displaying a summary of an electronic message within an inbox. The disclosed framework provides novel mechanisms for triaging messaging, in that mechanism for how they are pre-, post- and / or in real-time processed by the server, sender and / or recipient devices pursuant to providing summarizations for an improved user consumption experience. The framework operates to determine which messages are candidates for specific forms of triaging, then queues such messages for summarization according to the mechanism for which it will be delivered. Such determination and summarization can effectuate an improved messaging experience as it relates to how messages are handled by inboxes and / or displayed for interaction by recipient users.