13 results about "Innovation management" patented technology

A system and method for adaptive ideation and innovation management using graph-based similarity computation and real-time social facilitation are disclosed, and the system may include a plurality of client devices operated by a human user and one or more AI Agents. The system may further include a computing platform running a Precompute Similarity Engine that may be configured to embed and index idea objects, precompute similarity clusters, and generate candidate merge or purge operations together with diversity and novelty signals; and running a Social Physics Engine that may be configured to monitor human user and machine participant (AI agent) interactions, compute group metrics, and issue digital facilitation interventions. The Precompute Similarity Engine and the Social Physics Engine may operate in an interdependent feedback loop such that diversity and novelty signals guide the generation of digital facilitation interventions that are communicated via the network to the plurality of client devices and the one or more AI Agents.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a fine tuning model construction and multi-round incremental training framework oriented to power grid innovation management, which is characterized in that power grid multi-source heterogeneous data is introduced to carry out pre-training on the basis of a general pre-training model, and the core is to design a text-time sequence joint masking loss function to obtain a fine tuning model; while the understanding capability of the universal language / time sequence structure of the model is reserved, the model deeply masters the professional characteristics of the power grid, and a basic model with both the universal adaptability and the professional property of the power grid field is constructed. According to the invention, through modularization, low-rank increment, dynamic sparse and rolling increment training and strict online risk management and control, an efficient, controllable and sustainable evolution model training framework oriented to a multi-service scene of the smart power grid is constructed, a landing engineering solution is provided for stable, efficient and sustainable operation of the smart power grid, and the development of the smart power grid is facilitated. The method plays an important role in promoting digitization and intellectualization of a power grid.

The invention relates to the technical field of artificial intelligence application technologies, in particular to an enterprise department and wound management platform based on artificial intelligence. Comprising the steps of collection and standardization processing of multi-source heterogeneous medical and creative data, construction of an enterprise medical and creative knowledge graph, deep matching analysis of market demands and technical capabilities, identification of technical innovation opportunity points, automatic generation of a structured innovation scheme, and dynamic configuration and execution binding of resources. Through multiple artificial intelligence methods of named entity recognition, graph embedding, multi-hop graph reasoning, deep semantic coding, large language model generation, multi-target genetic optimization and the like, full-process automatic closed-loop management from technical data integration, innovative recognition, scheme formulation to resource scheduling is realized. According to the invention, the organization ability of enterprise technical knowledge, the identification accuracy of innovation opportunities, the generation efficiency of innovation schemes and the execution transparency of resource configuration can be effectively improved, and the enterprise is promoted to realize efficient and intelligent department and wound management.

The invention provides an embedded path evolution tracking system, which can run through each module of an innovation support platform to record and analyze the whole process of solving an innovation problem. The system monitors intermediate events such as reasoning jump, invention principle application and user decision in the innovation process, formats and records the intermediate events as path units, and organizes the path units to form a complete innovation path evolution chain. The system visually displays the evolution chain, and clearly presents an evolution process from an initial problem to a final scheme and a branch decision condition; for unsolved problems, the system can analyze path chain break points or unsolved contradictions and provide targeted improvement suggestions. In addition, the system performs machine learning by using accumulated path data, mines successful and failed path modes, and optimizes a future path scheduling strategy. According to the invention, black box type whole-course tracking and intelligent navigation of the innovation process can be realized, and the effectiveness of innovation management and the output efficiency of an innovation scheme are greatly improved.

The invention relates to the technical field of enterprise credit investigation, in particular to an enterprise credit investigation method based on an innovation point system, and the method specifically comprises the following steps: 1, setting first-level indexes and weights of innovation points, the first-level indexes comprising innovation investment, innovation achievements, innovation management and market influence; 2, refining a first-level index of the innovation integral to obtain a second-level index; 3, calculating the score of each secondary index; 4, determining the weight of each secondary index; 5, calculating the score of each first-level index; 6, calculating a comprehensive score of the innovation points; step 7, carrying out credit rating division; 8, setting a dynamic adjustment mechanism; step 9, combining the macroeconomic factors into credit investigation; and 10, carrying out traditional credit data integration. According to the invention, by introducing an innovative point system, a more comprehensive enterprise credit investigation system is constructed, and fair credit evaluation is provided for innovative enterprises.

This invention provides a method for recommending potential partners to researchers based on the dynamic evolution of structural holes, belonging to the fields of artificial intelligence and data mining. The method includes: collecting sample data to establish a dynamic cooperation network sequence; defining node homogeneity loss, temporal smoothing loss, structural hole closure loss, and structural hole disintermediation loss; extracting referral and disintermediation strategy information from the node embedding vectors using social strategy parameters, and calculating the single-mediation connection probability and single-mediation disintermediation probability; based on the assumption of independent influence of common neighbors, aggregating the total connection probability and total disintermediation probability, and constructing the structural hole closure loss and structural hole disintermediation loss through negative maximum likelihood estimation; finally, combining the four types of losses to obtain the future cooperation probability, and generating a potential partner recommendation list accordingly. This invention improves prediction accuracy and interpretability, effectively identifying persistent, potential, and disappearing partners, providing decision support for R&D team building and innovation management.

The invention discloses an enterprise innovation capability optimization model based on a digital technology and application thereof, belongs to the technical field of enterprise innovation management and digital technology application, and integrates the technologies of data management, big data analysis, AI prediction, digital collaboration and the like, so that an enterprise can quickly respond to market and personalized user needs, and the enterprise innovation capability is optimized. And the product innovation and competitiveness are improved. Through the Internet of Things and an online platform, an enterprise can accurately capture market trends and user preferences; big data and an AI algorithm assist in deep insight and decision making; a digital platform and cloud computing promote remote cooperation; smart tags and language processing optimize knowledge management. 3D printing and VR accelerate product development, and a user community promotes user participation. The security is guaranteed by multi-factor authentication and regular auditing, and an organization culture and continuous learning mechanism ensures that an enterprise adapts to changes. The model not only enhances innovation, but also provides the advantage of sustainable development, and is the key of digital transformation.

This invention discloses an intelligent science and technology project innovation management system and method. It assists manual review in rapidly managing the establishment of science and technology innovation projects through intelligent screening. The system includes: inputting and parsing submitted science and technology innovation projects; constructing a project database; creating and training a model using random forest, and deploying the trained model as an API service; outputting the success probability P and confidence level of each project, and generating an evaluation report; and performing a three-level decision-making process based on the success probability P. This method automates and structures the input of project information using natural language processing and feature extraction technologies, and performs quantitative evaluation and risk classification of projects based on machine learning models, achieving preliminary screening of a large number of submitted projects. It also automatically processes high-potential and high-risk projects, thereby significantly shortening the review cycle and reducing subjective bias.

This invention discloses a cloud-based enterprise innovation capability assessment and resource adaptation system and method, relating to the field of enterprise innovation management technology. The system includes the following steps: periodically acquiring industry lifecycle data, innovation characteristic data, and external data source data; performing a weighted average calculation on the industry lifecycle data, innovation characteristic data, and external data source data to obtain integrated innovation characteristic data; and applying sliding window processing to the integrated innovation characteristic data within the same period to output a trend curve of the integrated innovation characteristic data. This solution effectively eliminates interference from industry cycle fluctuations through dynamic alignment of the baseline curve and joint judgment using continuous windows. Simultaneously, by combining the trend curve to locate the start time of anomalies, it provides a precise time anchor point for subsequent causal analysis, accurately identifying persistent abnormal states in the integrated innovation characteristic data and avoiding misjudgments caused by single fluctuations.

The invention provides a college ice and snow sports production and education fusion course resource management system, belongs to the technical field of education and sports, and aims to realize classified management and rapid retrieval on course resource integration, improve the utilization efficiency of teaching resources, assist teaching and autonomous learning of teachers and students, assist enterprise cooperation and docking to promote deep cooperation between colleges and enterprises, and improve the efficiency of production and education. The teacher management subsystem improves the teacher quality and stability, enriches the teaching content methods, develops the practice innovation ability of students through course setting innovation, improves the competition level and influence through competition organization management, provides feedback for teaching training, and improves the teaching quality and stability. Scientific research and development are promoted by scientific research and innovation management, industry-university-research combination is realized, personalized teaching and talent training are supported by the student management module, stable operation and data safety of the system are ensured by the system management unit, and ice and snow sports development and talent training in China are comprehensively promoted.

The application provides a major engineering technical innovation collaborative simulation method based on multi-agent modeling, and is characterized by comprising the following steps: S1. collaborative data acquisition and agent characteristic modeling; S2. construction of a multi-agent collaborative matching relationship; S3. construction of an agent behavior rule library; S4. construction and simulation configuration of a collaborative scenario; S5. innovation collaborative simulation implementation; and S6. innovation performance calculation, which provides a basis for evaluating the pros and cons of a scheme. The method provided by the application can completely simulate the dynamic evolution process of multi-agent technical innovation collaboration in a major engineering, and can truly reflect the influence of agent interaction, knowledge flow and collaborative structure change on innovation performance; through scenario simulation, the rapid testing of innovation strategies, resource allocation modes and collaborative modes can be realized, and the scientificity, transparency and reliability of a major engineering innovation management scheme can be improved.

The invention relates to the technical field of system scheduling optimization, and relates to a scientific and technological innovation management system and method. Wherein the integral generation module is used for collecting real-time result data and associating the real-time result data to the integral accounting library, and the integral accounting library is used for performing integral accounting on the real-time result data based on a current integral management rule to obtain current integral data of an assessment subject; the passive data processing module is used for collecting passive data and providing the passive data to the assessment management module; the assessment management module is used for analyzing the current integral data and the passive data according to the current assessment dimension and the current assessment management rule to obtain a dimension assessment result, and the assessment management module is used for analyzing the historical integral data, the current integral data and the passive data to obtain an overall assessment result; the rule updating module is used for determining a data access mode, accessing data to the point generation module based on the data access mode, and updating a current point management rule and a current assessment management rule; the report generation module is used for generating a report.

The application discloses to the field of artificial intelligence, specifically to the knowledge graph enhanced innovation management intelligent question answering and writing assistance engine, first, collect internal and external multi-modal raw materials, and process into standardized units, then retain the backtracking meta-information, and synchronize the sensitive information, which lays the foundation for subsequent extraction and evidence tracing; then, the standardized units are converted into five-tuple structured facts containing time intervals and confidence, finally, the multi-modal information is extracted, the confidence is calculated, the modal embedding is generated, and the alignment is achieved through contrast learning, providing high-quality input for the construction of time-series knowledge graph; based on this, the application can significantly reduce the generation illusion, improve the fact consistency and evidence coverage, and ensure that the system has the ability of sustainable evolution and compliance use, and the overall technical effect is more superior.