99 AI Patents Donated for Public Welfare, Open
通用人工智能AGI测评DIKWP实验室
99 AI Patents Donated for Public Welfare, Open Cooperation to Create the Future Together
March 27, 2025 - In-Depth Research Release by the DIKWP Artificial Consciousness International Team (Welcome to Share and Collaborate)
International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation(DIKWP-SC)
World Artificial Consciousness CIC(WAC)
World Conference on Artificial Consciousness(WCAC)
(Email: duanyucong@hotmail.com)
Research Areas and Innovative Achievements of Professor Yucong Duan
Professor Yucong Duan (Academician of the International Academy of Advanced Technology and Engineering, Corresponding Academician of the National Academy of Artificial Intelligence of the United States, Chairman of the World Artificial Consciousness Association, Honorary President of the Sino-US Silicon Valley Development Promotion Association, Co-Chair of the China-Europe Scientists Forum, Honorary Chairman of the Global Artificial Intelligence Electronics Alliance, Distinguished Expert of the China Association for Science and Technology's Overseas Intelligence Program, Deputy Director of the Expert Advisory Committee on Science and Technology Strategy of the China Science and Technology Industry Promotion Association, Consulting Research Expert of the Chinese Academy of Engineering, Chairman of the World Artificial Consciousness Conference, and Director of the International Evaluation Standards Committee for Artificial Intelligence DIKWP. He has been consecutively listed on Stanford University's Top Scientists Lifetime and Annual Rankings for four years, published over 300 academic papers, and holds more than 110 authorized Chinese and international invention patents.) has long been dedicated to cutting-edge fields in artificial intelligence (ScienceNet—Introduction to Yucong Duan, Chairman of the World Artificial Consciousness Association - Yucong Duan's Blog). His primary research directions include the DIKWP model (Data-Information-Knowledge-Wisdom-Purpose model), artificial consciousness, and general artificial intelligence (ScienceNet—Introduction to Yucong Duan, Chairman of the World Artificial Consciousness Association - Yucong Duan's Blog). Through sustained exploration in these areas, Professor Duan and his team have achieved significant results—submitting over 200 patent applications in the past five years for DIKWP artificial intelligence technologies across various industry scenarios. To date, he has obtained 99 authorized domestic and international invention patents as the first inventor (ScienceNet-Commercial Valuation Analysis: Yucong Duan's DIKWP Authorized Invention Patent Portfolio) (Partial List of Authorized Invention Patents with Yucong Duan as First Inventor (as of February 13, 2025)). These patented technologies embody years of innovative research by Professor Duan, representing a series of original breakthroughs in the field of data intelligence.
Core Technical Advantages of the 99 Donated Invention Patents
The 99 authorized invention patents proposed for unconditional donation span multiple levels from foundational theory to practical applications in the field of artificial intelligence, offering the following core technical advantages:
"Essence Computation" Based on the DIKW Architecture: The patent system is built on the "Data-Information-Knowledge-Wisdom (DIKW)" architecture, proposing a new paradigm of essence computation and reasoning. This paradigm focuses on extracting information, essential semantics, and knowledge-wisdom from vast amounts of data, simulating the cognitive processes of the human brain to address complex problems in a more essential and efficient manner. This architecture enables systems to grasp the core elements of problems in uncertain environments, achieving semantic fusion and deep cognition of multi-source heterogeneous data. Through layered semantic transformation and graph modeling, the related patents provide AI with more interpretable and reliable cognitive computation models (Introduction to the DIKWP Semantic Model and Key Theoretical Methods such as RDXS+PUCR+EXCR+ESCR).
Multimodal Reasoning and Fusion: Faced with increasingly diverse data types, these patents innovate methods for cross-modal data processing and reasoning. The technical solutions include unified semantic modeling and reasoning frameworks for multimodal information such as voice, images, and text, enabling automatic integration of data from different sources and their association in structured representations like knowledge graphs. Leveraging multi-level graph architectures and cross-modal fusion techniques, systems can reason and make decisions from multiple perspectives, significantly enhancing AI's comprehension and reasoning accuracy in complex scenarios.
Purpose-Driven Resource Processing Mechanism: To better align intelligent systems with user goals, Professor Duan's team proposed purpose-driven resource dynamic allocation and processing technologies. Related patents provide methods for scheduling computational resources and information flow based on user intent and contextual needs, allowing systems to adjust strategies in real-time to meet objectives (Introduction to the DIKWP Semantic Model and Key Theoretical Methods such as RDXS+PUCR+EXCR+ESCR). This purpose computation and reasoning make AI more human-centric, optimizing decision-making processes based on ultimate goals and improving resource utilization efficiency. For example, in service computing scenarios, systems can dynamically optimize data transmission and computing power allocation based on the priority of current task intentions to achieve rapid response and precise service.
The above technical advantages mutually support each other, forming an integrated "Data-Information-Knowledge-Wisdom-Purpose" essential intelligence framework. This framework combines solid theoretical depth with practical engineering methods, covering a complete innovation chain from underlying architecture to high-level applications. The breadth and foresight of the technologies involved in this patent portfolio lay a robust foundation for intelligent applications across various industries. As such, they demonstrate immense potential and commercial value in multiple key fields.
Application Scenarios Covering AI, Healthcare, Education, and More
The patent package donated by Professor Yucong Duan is widely applicable to numerous fields, including artificial intelligence, healthcare, education, government services, and cybersecurity. The technologies covered by these patents can be combined as needed to form solutions tailored to different industries:
In the field of artificial intelligence, these patents serve as general underlying technical support, particularly in areas such as intelligent assistants, industrial intelligence, and enterprise knowledge management, enabling the construction of more intelligent and efficient AI systems. For example, the DIKWP model can enhance the knowledge representation and reasoning capabilities of large models, endowing next-generation large language models with stronger interpretability and professional knowledge integration.
In healthcare, related technologies can be used to develop intelligent diagnostic assistance systems and health management platforms. Through multimodal data fusion and essential reasoning, systems can comprehensively analyze patient information such as voice, imaging, and medical records, assisting doctors in achieving early and accurate diagnoses as well as personalized treatment plans. For instance, purpose-driven decision-making mechanisms can enable intelligent medical devices to dynamically allocate required data resources based on doctors' diagnostic intentions, improving efficiency and accuracy.
In education, these patents provide the foundation for building intelligent teaching and learning platforms. Multimodal reasoning technologies allow educational AI to simultaneously understand learning materials in various forms, such as text, voice, and images, offering personalized tutoring to students (Nanyang Institute of Technology School of Information Engineering: Professor Yucong Duan from Hainan University Lectures at Our School). The DIKWP architecture also enables systems to organize fragmented knowledge points into systematic wisdom content, helping students gain deeper understanding. Applications of essence computation can further be used in virtual learning communities to create immersive and intelligent learning environments.
In government services and enterprise management, these patents support the construction of intelligent decision support and knowledge management systems. Using knowledge graphs and intent recognition technologies, government departments can establish smart government platforms, enabling the integration of government data and the intelligentization of business processes to enhance public service efficiency. Enterprises can leverage these technologies to intelligently organize and analyze vast amounts of internal data, providing a basis for management decisions. In the current wave of digital government and smart city construction, this patent technology holds immense application value.
In cybersecurity and data privacy, the inventions of Professor Duan's team also play a role. Some patents involve distributed computing and data privacy protection, applicable to data processing and analysis in privacy computing scenarios. For example, introducing DIKWP's essence computation methods into federated learning and multi-party secure computing can extract useful knowledge while protecting user privacy, offering more intelligent support for cybersecurity protection.
In summary, these patents cover a wide range of scenarios, from social livelihood to industrial upgrading. They can either form independent systems for specific vertical industries or be combined to create cross-domain comprehensive solutions. For enterprises aspiring to lead industry innovation, fully leveraging the technologies embedded in these patents will open up opportunities for numerous new products and services.
Leveraging Large Models and Emerging Technology Trends to Unleash the Commercial Value of Patents
Currently, the field of artificial intelligence is undergoing a new phase of revolution driven by large models and the rise of privacy computing, while the construction of virtual communities and the application of knowledge graphs are becoming increasingly widespread. Professor Yucong Duan's patent portfolio aligns closely with these cutting-edge trends, empowering corporate innovation in the following ways:
Empowering Large Models and AIGC: Large language models (such as ChatGPT) are reshaping the landscape of AI applications. These patented technologies can enhance large models with knowledge reasoning capabilities and explainable decision-making mechanisms, addressing the shortcomings of purely data-driven models in reasoning chains. For example, by integrating industry knowledge into large models through DIKW graphs, models can be guided to reason in ways that are understandable to humans, thereby improving their reliability in specialized fields. Additionally, purpose-driven methods can optimize context management in human-machine dialogues, enabling AI to more accurately grasp user intent and enhance interaction experiences.
Building Trustworthy Privacy Computing and Security Frameworks: As data privacy becomes increasingly important, the challenge lies in performing data computations while protecting privacy. Some of Professor Duan's patents offer innovative solutions for data security and distributed computing. Enterprises can leverage these patents to build federated learning platforms or privacy-preserving data analysis tools, achieving "data usability without visibility" and fostering win-win collaborations in sensitive data fields such as finance and healthcare. Meanwhile, combining knowledge graph technology with security algorithms can enable real-time monitoring and analysis of cyber threats, constructing a new generation of cybersecurity defenses.
Creating Next-Generation Virtual Communities and Intelligent Interactions: With the rise of the metaverse and virtual communities, social interactions and collaborations are shifting online. By leveraging essence computation and multimodal fusion technologies, more intelligent virtual community platforms can be created. For instance, in a virtual community for industry knowledge exchange, the DIKWP model can be introduced to aggregate fragmented information shared by users, automatically synthesizing it into valuable knowledge networks. Intent recognition can then be used to precisely match users with the information or partners they need. This will significantly enhance the quality of interactions and the efficiency of knowledge accumulation in virtual communities, fostering a virtuous cycle of innovation.
Expanding Knowledge Graph Applications: As a critical infrastructure for AI, knowledge graphs are already widely used in search engines, recommendation systems, and decision support. Several of Professor Duan's inventions provide novel methods for constructing and reasoning with knowledge graphs. By uncovering deep correlations in data through essence computation and adjusting graph reasoning processes with purpose-driven methods, enterprises can build more intelligent and dynamic knowledge graph systems. Such systems can self-update in response to changing business needs, offering robust knowledge support for scenarios such as financial risk control, medical diagnosis, and intelligent customer service.
By integrating with current hot technologies, the commercial value of these patents will be exponentially amplified. For enterprises that embrace these innovations early, the benefits extend beyond enhancing their technological competitiveness—they also gain a first-mover advantage in the next wave of industrial transformation. We believe that incorporating Professor Duan's patented technologies into large models, privacy computing, virtual communities, and knowledge graphs will inevitably give rise to new application models and commercial growth opportunities.
Open Invitation to Leading Enterprises
Guided by the principles of open collaboration and social benefit, Professor Yucong Duan extends a formal invitation to top-tier enterprises worldwide with market capitalizations exceeding 100 billion: We welcome partners with technical expertise and a commitment to joint R&D or commercialization to join hands with us! Professor Duan and his DIKWP team are prepared to donate all 99 authorized invention patents free of charge to visionary enterprises dedicated to innovative applications (Initiative: Donating Patents for Free—Pioneering a New Path for Scientific and Technological Achievements Transformation - ScienceNet Blog). This rare initiative reflects the sense of mission among researchers to actively shoulder social responsibility and accelerate the dissemination of technology for public good (Initiative: Donating Patents for Free—Pioneering a New Path for Scientific and Technological Achievements Transformation - ScienceNet Blog). By donating these patents unconditionally, the team aims to streamline the process of transforming scientific achievements into practical applications, exploring new pathways for open innovation in the industry (Initiative: Donating Patents for Free—Pioneering a New Path for Scientific and Technological Achievements Transformation - ScienceNet Blog). We are confident that the abundant resources and market channels of large enterprises will breathe new life into these dormant patents, enabling them to be applied in real-world production and create value for industries and society.
We sincerely invite leading enterprises in artificial intelligence and related fields (whether domestic or international) to reach out to Professor Yucong Duan's team. Collaboration can take various flexible forms: Enterprises may choose to integrate these patented technologies into existing product lines to enhance functionality and competitiveness, or collaborate with the team on new R&D projects to further expand the concepts covered by the patents and achieve groundbreaking innovations. For all responding enterprises, we will adhere to the principles of sincere cooperation and mutual benefit, providing comprehensive technical explanations and support to ensure smooth collaboration.
Collaboration Models and Long-Term Vision
Collaboration Formats: This patent donation follows a purely philanthropic "free donation" model, meaning the patents will be provided to partner enterprises at no cost ((PDF) Promoting the Transformation of Scientific and Technological Achievements: A New Pathway from Free Patent Donation to Social Application). Recipient enterprises are not required to pay any patent licensing fees but need only commit to utilizing these intellectual properties effectively and promptly. Professor Duan's team is willing to provide necessary technical guidance and training to assist in understanding patent details and accelerating practical implementation. If new application needs arise during collaboration, both parties can explore joint development to continuously enrich and expand related technological achievements. We encourage partner enterprises to develop proprietary products based on these patents and actively apply for subsequent intellectual property improvements, collectively enhancing the industrial ecosystem.
Long-Term Collaboration Mechanisms: We particularly welcome enterprises with strategic vision to establish long-term collaboration mechanisms. Through joint R&D labs, industrial alliances, or research projects, both parties can engage in deeper cooperation across broader domains. Such long-term partnerships will help fully unlock the value of the patent portfolio and foster a continuous stream of innovative breakthroughs. Professor Duan's team's academic research and cutting-edge technological expertise can be seamlessly integrated with enterprises' market experience and engineering capabilities, creating complementary advantages. We believe this industry-academia-research integration model will not only help enterprises maintain technological leadership but also set a new benchmark for scientific and technological innovation in China and globally.
Philanthropic Mission and Future Outlook
Professor Yucong Duan's decision to donate his lifetime of patented achievements stems from a strong sense of social responsibility and mission. These patents, embodying independent innovation, will be shared with the industry in a philanthropic manner, reflecting the intellectual's commitment to serving the nation and its people. Looking ahead, we hope this open collaboration will pioneer a new model for transforming scientific and technological achievements: ensuring that dormant patents are not left on shelves but instead move from laboratories to the forefront of industry, serving economic and social development (Initiative: Donating Patents for Free—Pioneering a New Path for Scientific and Technological Achievements Transformation - ScienceNet Blog). This initiative not only challenges and complements existing mechanisms for transforming scientific achievements but also represents a bold innovative practice.
We believe that, through the collective efforts of all parties, the core patents donated by Professor Yucong Duan will unleash tremendous potential. Driven by leading enterprises and deepened applications, they are poised to transform into tangible productivity that benefits society—from elevating AI capabilities and safeguarding public health to promoting educational equity and ensuring cybersecurity, the impact will be profound. More importantly, this open-sharing initiative will foster a culture of cross-border integration and collaborative innovation, uniting forces from academia, industry, and research to tackle technological challenges.
As Professor Yucong Duan's team advocates: The value of knowledge lies in sharing, and the meaning of innovation lies in benefiting the public. We sincerely hope that pioneering enterprises committed to technological innovation will respond to this call and join the partnership. Let us seize the opportunities of our time, ground these forward-looking patented technologies in reality, and together create a magnificent chapter in the new era of artificial intelligence! ((PDF) Promoting the Transformation of Scientific and Technological Achievements: A New Pathway from Free Patent Donation to Social Application)
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人工意识概论:以DIKWP模型剖析智能差异,借“BUG”理论揭示意识局限
人工智能通识 2025新版 段玉聪 朱绵茂 编著 党建读物出版社
邮箱|duanyucong@hotmail.com