Traditional manual cataloging models are facing sustainability bottlenecks amid the explosive growth in the scale and diversity of information resources, becoming a critical constraint on library knowledge services. While generative artificial intelligence offers new technological opportunities for automated metadata creation, existing explorations often suffer from insufficient workflow integration, difficulties in quality control, and weak adaptability across different document types. To systematically address these challenges, this paper proposes an integrated intelligent cataloging framework for multi-type documents, incorporating fragmented AI-based cataloging practices into a scalable and implementable system. The framework provides a structured methodological foundation for the systematic adoption of large language models in library environments.Beyond proposing technical solutions adaptable to diverse document types, the framework also tackles the challenge of aligning traditional cataloging rules with AI-driven processes by introducing a dual-path mechanism of MAC and OAC, thereby resolving structural conflicts between AI technologies and cataloging standards. Finally, through case studies involving special collections on Chinese traditional opera playbills and books, the paper demonstrates the effectiveness and scalability of the proposed framework, offering both a theoretical basis and a practical paradigm for AI-driven, high-quality metadata production.

The profound transformation of the knowledge ecosystem and technological environment, along with the deepening evolution of library services, has driven continuous advancements in the mission of librarians. The new missions of libraries include roles such as literacy cultivators, research collaborators, community connectors, experience designers,digital literature preservers, and advocates of open science. This article will focus on three key directions—digital transformation, multidimensional literacy, and open science—to connect the future development of libraries from the perspective of these new missions. Aligning with the phased goals for 2035, it proposes that libraries should become learning hubs in the digital society, spaces for cultivating civic literacy, and intermediary platforms for open science. Through phased planning of action routes, it envisions how librarians can shape a new paradigm of knowledge sharing with professional dedication and social responsibility in a future where intelligence and humanity coexist.

This paper systematically analyzes the core challenges faced by artificial intelligence technologies, particularly large language models (LLMs), in museum applications. By examining the structural limitations inherent in LLMs, it further explores the practical difficulties encountered by museums when implementing AI. In response to these issues,systematic countermeasures and a tiered governance framework are proposed to provide methodological support for the controlled implementation of AI in the cultural heritage sector. The study demonstrates that through prudent planning and scientific governance, artificial intelligence can serve as an effective tool to enhance the core operational capabilities of museums, offering sustainable momentum for innovation in cultural heritage preservation, research, and public services.

With the rapid advancement of information technology, the development of smart libraries has become a core task and strategic direction for the transformation and development of the global library field. This paper,grounded in the context of smart library development being elevated to a national strategy during the 14th Five-Year Plan period, delves into the shift in smart library evaluation paradigms—from performance evaluation focused on efficiency to effectiveness evaluation emphasizing tangible outcomes. It systematically reviews the development of public library evaluation in China and its role in driving technological adoption. It distinguishes between performance evaluation and effectiveness evaluation by examining their core concepts, theoretical foundations, and international practices. Furthermore, it constructs a comprehensive evaluation framework encompassing multiple dimensions:smart spaces, smart services, smart resources, smart management, and smart librarians. Drawing on representative domestic and international case studies, this paper analyzes the key technologies, practical achievements, and challenges currently facing smart library development. It aims to provide theoretical references and practical pathways for the scientific evaluation and sustainable development of future smart libraries, ultimately driving the professional advancement of library services through management empowerment. This will enable libraries to demonstrate their irreplaceable social value in the era of digital intelligence.

This paper proposes a concept for systematically managing museum data using artificial intelligence technology based on attention mechanisms and explores the technical implementation methods. Specifically, it involves integrating all museum data into a unified data warehouse and employing large language models to interpret requests expressed in natural language, translating them into programming languages capable of processing multimodal data such as images, text, and audio. These languages are then used to perform tasks such as statistical analysis, querying, summarization, and reasoning. Through the collaboration of the data layer, processing layer, and interaction layer, the system not only ensures the accuracy, completeness, and comprehensiveness of the extracted data but also derives information from data analysis, integrates information into knowledge, and ultimately develops intelligent capabilities. Additionally, it addresses the long-standing issue of data silos within various museum business systems.

With the rapid development of general artificial intelligence large model technology, humanoid robots, as a cutting-edge achievement integrating artificial intelligence and physical robotics, have attracted widespread attention. Focusing on the theme of library humanoid robots, this paper systematically reviews and analyzes their current development status and existing bottlenecks through methods such as web-based survey, literature analysis, and content analysis, from multiple dimensions including academic literature, major products, and application practices. Meanwhile, by tracking the latest technological advancements and development trends, it proposes outlooks on future innovation paths and implementation strategies for library humanoid robots, aiming to provide references for the theoretical and practical development of smart libraries.

Recently, DeepSeek has emerged as a phenomenal product due to its high efficiency, open-source nature, and low-cost training, fueling a nationwide AI boom. This interview explores the profound impact of the large AI model DeepSeek on the library industry. During the discussion, Mr. Liu Wei elaborated on DeepSeek’s technical advantages and analyzed its potential in library services such as knowledge provision, reference consultations, and intelligent agent applications. Mr. Liu emphasized that libraries must transform to adapt to the AI era, suggesting measures such as deploying local models, developing intelligent agents, and training readers to enhance library services. Furthermore, he pointed out that as technological and knowledge gaps continue to widen, librarians should actively embrace the changes of the times and technological advancements while steadfastly upholding their role as knowledge intermediaries.

In August 1974, Chinese government launched a key project – "Information Processing System for Chinese Characters (also known as "Project 748"). "Project 748 " aims to change the backward situation of China's print industry and solve the problem of computer information processing for Chinese characters. " Project 748" has promoted the all-round development of information processing technology for Chinese Characters, and also promoted the informatization progresses of library and information cause, which is a milestone in the development history of library and information technology in China. With historical research method and network survey method, this paper systematically reviews the development history of " Project 748" and one sub project " Intelligence Search Using Chinese Characters ", analyzes its important significance in the history of library and information technology in China, and provides references for the research and development of library and information technology in China.

Accurately grasping the current application status of AI technology in university libraries has important reference value for promoting service innovation and improving the level of intelligent services in university libraries. Using a combination of literature research, online research, and questionnaire surveys, this study aims to investigate the current application status of AI technology in university libraries and technology vendors nationwide. The results of the survey will be analyzed for both achievements and problems. Clarify the current situation of the development prospects, practical status, and implementation obstacles of AI technology in university libraries, and propose practical suggestions to promote the development of AI technology in university libraries from three aspects: library leaders, librarians, and internal and external cooperation.

In the context of the era of Digital Intelligence and Humanities, the paper discusses in depth the challenges encountered by the humanities, the integration and development of GLAMS and their mission of the times. Driven by the scientific and technological revolution, the integration of GLAMS has become a trend, and they show competition and integration in the field of public cultural services. The mutual integration of GLAMS not only promotes the dissemination and acquisition of knowledge, but also gives rise to the emergence and development of new knowledge. Modern information technology provides GLAMS with an eternal space that transcends physical boundaries and material life, so that the information and values they carry can be disseminated and passed on eternally. The article points out the important role of GLAMS in the age of digital intelligence, including the preservation, dissemination and utilisation of cultural heritage resources, as well as the exploration of ultimate human problems.

We are entering an era where technology is developing at an exponential rate,and it is anticipated that the "Singularity" will arrive within the next two decades. Large language model technologies have paved possible paths for the arrival of the "Singularity." As humanity steps into the era of "Homo Technicus," where humans and technology deeply integrate and co-evolve, traditional humanism centered on humans faces challenges: new humans may significantly alter their nature through technological integration; machine intelligence, through self-acceleration and iteration, might develop autonomous consciousness; and the development of AI brings forth various risks and ethical issues, even concerning survival or destruction. Immediate action is necessary to incorporate the issues brought about by AI development into the research scope of the new humanities. In the next twenty years, digital humanities need to make a new turn, following the expanded new humanism, and utilize the fifth paradigm of digital humanities research (AI4DH) to evolve towards wisdom humanities.

Artificial intelligence, a machine learning technology that aims to enhance human intelligence, will undoubtedly have a profound impact on the development of human society. Museums, as institutions that document the historical processes of human and natural development, are tasked with preserving, processing, researching, and applying a vast amount of information. This article summarizes the characteristics of this information, analyzes the traditional models of museum informatization, and proposes methods to integrate and utilize artificial intelligence concepts and technologies in museum information. Artificial intelligence technology seeks to innovate traditional museum information systems by approximating human cognitive processes and methods of utilization, overcoming the shortcomings of traditional information systems in terms of information use, application expansion, and system maintenance, thereby making information processing technology a fundamental aspect of museum work.