Artificial Intelligence For Cybersecurity: Opportunities, Challenges, And Approaches,
2026
Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100085, China
Artificial Intelligence For Cybersecurity: Opportunities, Challenges, And Approaches, Kai Chen, Ding Li, Guozhu Meng, Shouling Ji, Changjiang Li, Yi Yang, Dengguo Feng
Bulletin of Chinese Academy of Sciences (Chinese Version)
Cybersecurity research, institutional structures, and governance policies are undergoing profound transformations. Currently, increasingly covert and rapidly evolving intelligent attacks, coupled with the national urgent expectations for high-level security, are driving significant shifts in the roles and interactions of governments, research institutions, and enterprises. Consequently, this study, based on analyzing the challenges and opportunities of the AI era, explores core application scenarios such as critical information infrastructure protection, national data security, and the maintenance of cyberspace sovereignty. It provides an analysis of artificial intelligence in dimensions such as correlation and causality, and proposes a governance framework, aiming to provide insights for …
Artificial Intelligence For Astronomy: Strategic Opportunities, Policy Challenges And Development Strategies,
2026
University of Science and Technology of China, Hefei 230026, China
Artificial Intelligence For Astronomy: Strategic Opportunities, Policy Challenges And Development Strategies, Jin Chang, Yihan Song, Bing Du, Kefei Wu, Ali Luo, Jifeng Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
To alleviate the bottlenecks hindering the integrated development of artificial intelligence and astronomy in China and to reinforce the country’s strategic edge in science and technology, this study uses systematic analysis and path-comparison approaches to examine the policy requirements for their deep integration. The findings indicate that this topic is closely tied to global competition in science and technology, strategic security, and industrial upgrading. At present, the world has entered a new “astronomy + AI” paradigm, with the United States and the European Union already having taken the lead in establishing corresponding strategic frameworks. Leveraging major scientific infrastructures such as …
Artificial Intelligence Empowering Space Science—Case Study Of Space Weather,
2026
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Artificial Intelligence Empowering Space Science—Case Study Of Space Weather, Chi Wang, Hui Li, Bingxian Luo, Fang Shen, Jingjing Wang, Lingqian Zhang, Yi Yang, Dong Zhao
Bulletin of Chinese Academy of Sciences (Chinese Version)
Space science is currently confronted with a triple challenge: the explosive growth of observational data, the strongly coupled cross-scale nature of physical processes, and the increasingly urgent national strategic demands. The limitations of traditional research paradigms in analytical efficiency, forecast accuracy, and autonomous capability hinder their effectiveness in meeting critical requirements such as safeguarding on-orbit satellites and ensuring the successful execution of major space missions. This study proposes a three-layer “perception–cognition–decision-making” architecture for intelligent space science. Taking space weather—a domain with strong operational relevance—as a representative case, the four-dimensional paradigm transformation driven by artificial intelligence is systematically examined across key …
Artificial Intelligence Empowering Remote Sensing: Challenges, Paradigms And Strategic Layout,
2026
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; National Key Laboratory of Target Cognition and Application Technology, Beijing 100190, China
Artificial Intelligence Empowering Remote Sensing: Challenges, Paradigms And Strategic Layout, Jiayuan Shen, Peirui Cheng, Zhirui Wang, Wei Liang, Xian Sun, Yirong Wu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Remote sensing science and technology, as a key discipline for Earth observation and global change research, faces systemic challenges in processing massive multi-source data, accurately extracting complex information, and delivering high-timeliness application services. The rapid advances in artificial intelligence (AI) provide a new opportunity to address the deep-seated dilemma in remote sensing of being “data-rich but insufficient in effective information mining”. Guided by a problem-oriented approach, this study first systematically analyzes the core challenges facing the development of remote sensing across four dimensions: data understanding, technical methods, scientific mechanisms, and application ecosystems. It then reviews the technical evolution of AI-empowered …
Artificial Intelligence For Deep Earth Science: Key Challenges, Major Application Scenarios And Development Pathways,
2026
Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Artificial Intelligence For Deep Earth Science: Key Challenges, Major Application Scenarios And Development Pathways, Qingyun Di, Liang Zhao, Yikang Zheng, Zhi Geng, Zhichao Yu, Xiaocai Shan, Chao Li, Zhiyao Xu, Pengfei Lv
Bulletin of Chinese Academy of Sciences (Chinese Version)
Deep Earth science is central to understanding Earth’s internal architecture and the coupled evolution of its major spheres, while also underpinning energy security, the supply of critical mineral resources, and resilience to major geohazards. Nevertheless, the advancement of deep Earth science is currently hindered by insufficient in situ observations under extreme conditions, the difficulty of integrating multi-source heterogeneous data, and the limited capability to model complex multiphysics coupling processes. Recent advances in artificial intelligence offer a potential route beyond these limitations. By integrating data-driven learning with physical and geological understanding, AI is reshaping deep Earth science from empirical interpretation to …
Artificial Intelligence For Science: Connotations, Characteristics, And System,
2026
School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China; Research Center for National Frontier S&T Integration and Innovation, University of Chinese Academy of Sciences, Beijing 100049, China
Artificial Intelligence For Science: Connotations, Characteristics, And System, Kaihua Chen, Heyang Li, Hongxin Liu, Binbin Zhao, Shuo Yang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Artificial intelligence is profoundly transforming the fundamental nature of scientific research, reshaping its modes of knowledge production and organizational operation, driving the emergence of a new artificial intelligence for science (AI4S) research paradigm, and accelerating full-chain innovation paradigm transformation. This study defines the basic connotations of AI4S across three dimensions, namely, enabling applications, tools and methods, and epistemic knowledge, and systematically identifies five core characteristics: human-machine symbiosis, autonomous evolution, interdisciplinary integration, resource intensity, and open ecosystems. It further constructs a supporting system and operational architecture encompassing layers of infrastructure, data resources, model tools, task execution, and application scenarios. Building on …
Building Basic Research Ecosystem To Consolidate Foundation Of Strong Nation,
2026
Chinese Academy of Sciences, Beijing 100864, China
Building Basic Research Ecosystem To Consolidate Foundation Of Strong Nation, Xin Fang, Ke Wen
Bulletin of Chinese Academy of Sciences (Chinese Version)
Basic research is the source of the entire scientific system and the master switch for all technological problems. This study systematically reviews the evolution of the connotation and functions of basic research, and explores the new characteristics of basic research development triggered by the paradigm shift of AI for Science (AI4S): the shift of activity subjects from human‑dominated to human‑machine collaboration, the comprehensive restructuring of organizational models, the increasingly prominent strategic value of public intelligent research infrastructure, and the growing urgency to coordinate security and governance institution building. Addressing the demands of the new era, the study proposes principles and …
Optimizing Institution Of Demand-Oriented Basic Research, Promoting Deep Integration Of Technological Innovation And Industrial Innovation,
2026
Department of Innovation and Development Research, Development Research Center of the State Council, Beijing 100010, China; School of Economics, Shandong University, Jinan 250100, China
Optimizing Institution Of Demand-Oriented Basic Research, Promoting Deep Integration Of Technological Innovation And Industrial Innovation, Wei Lyu
Bulletin of Chinese Academy of Sciences (Chinese Version)
From both theoretical and domestic and international practical perspectives, this study analyzes the connotation and classification of demand-oriented basic research. It examines the expenditure structure, main pathways, and major existing problems of demand-oriented basic research in China. Based on three levels—strategically guided systematic basic research, frontier-guided exploratory basic research, and market-oriented applied basic research—it categorizes and studies the funding mechanisms and organizational models of demand-oriented basic research in combination with practice, and provides relevant suggestions for improving the quality enhancement mechanisms of demand-oriented basic research.
Logic And Path Of Transformation Reform Between Old And New Research Evaluation Models,
2026
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
Logic And Path Of Transformation Reform Between Old And New Research Evaluation Models, Fang Xu, Xiaoxuan Li
Bulletin of Chinese Academy of Sciences (Chinese Version)
The national 15th Five-Year Plan once again emphasizes breaking the four-only criteria. Why is it so difficult to dismantle the four-only criteria? This study argues that an in-depth analysis of the underlying logical relationship between the old label-based evaluation model and the new connotation-oriented quality evaluation model is required to address this question. The study finds that the label-based evaluation model is a rational choice under specific historical circumstances and it has delivered positive effects. During the transition toward connotation-oriented quality evaluation, problems concerning indicators such as academic papers have been well resolved. Nevertheless, national science and technology awards and …
Upholding Long-Termism In Basic Research To Shape Leading Advantage Of Automotive Industry,
2026
BYD Company Limited, Shenzhen 518118, China
Upholding Long-Termism In Basic Research To Shape Leading Advantage Of Automotive Industry, Yubo Lian
Bulletin of Chinese Academy of Sciences (Chinese Version)
General Secretary Xi Jinping has pointed out that basic research is the origin of the entire scientific system and the master switch for all technological issues, emphasizing that it must be advanced with greater efforts and more concrete measures. Upholding long-termism in basic research means placing it at the foundation of the innovation chain and maintaining continuous investment with strategic patience characterized by a long-term horizon and high tolerance for failure. Drawing on the author’s industrial practice, this study systematically reviews the characteristics and roles of basic research throughout the development of China’s new energy vehicle industry. In light of …
Advancing Paradigm Of Quantitative Synthetic Biology And Strengthening Mission-Oriented Basic Research,
2026
State Key Laboratory for Quantitative Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518005, China
Advancing Paradigm Of Quantitative Synthetic Biology And Strengthening Mission-Oriented Basic Research, Chenli Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Synthetic biology is an important frontier in the life sciences, yet its further development remains constrained by limited capacity for rational design. Quantitative synthetic biology, which iteratively integrates quantitative modeling with the construction and analysis of synthetic systems, offers a promising paradigm for addressing this challenge. In this perspective, the study discusses the background and motivations underlying the emergence of this field and summarizes recent developments and exploratory efforts. Considering the unique characteristics of quantitative synthetic biology, it is suggested that progress in the field may benefit from strategically organized collaborative research that balances mission-oriented goals with investigator-driven exploration. On …
Viewpoints On Elevating Capability And Appreciation Of Basic Research,
2026
Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
Viewpoints On Elevating Capability And Appreciation Of Basic Research, Guojie Li, Wei Zhao
Bulletin of Chinese Academy of Sciences (Chinese Version)
The overall capability and appreciation of a country’s basic research are not solely determined by the efforts of individual researchers, but also hinge on the country’s scientific and technological institutional mechanisms and policies. This article presents several viewpoints and suggestions from the perspectives of comprehensively and deeply understanding the connotation of basic research, increasing the proportion of investment in basic research, enhancing the stable support for basic research, and the paradigm shift of AI-driven basic research. These suggestions include: by 2030, adjusting the ratio of pure basic research to oriented basic research from 3.5∶6.5 to 4.5∶5.5, maintaining a balance between …
Problem Formation In Basic Research: Historical Evolution And Contemporary Transformation,
2026
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Problem Formation In Basic Research: Historical Evolution And Contemporary Transformation, Jialing Lyu, Ying Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
“Topic selection” in basic research has long been a central issue in S&T and innovation policy. Traditionally, it has often been understood as the processes of designating promising projects from an existing topic list through peer review and procedural evaluation. Nevertheless, major scientific problems do not always preexist within disciplinary systems, nor are landmark scientific discoveries artificially pre-planned in advance. Rather, they gradually emerge through the continuous interaction among national strategic demands, technological evolution, industrial transformation, and major real-world challenges. This study argues that important directions in basic research are often shaped by the sustained pull of real-world problems on …
Deep Learning Processor: Road To Fundamental Research On Ai Chip,
2026
State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
Deep Learning Processor: Road To Fundamental Research On Ai Chip, Yunji Chen
Bulletin of Chinese Academy of Sciences (Chinese Version)
Deep learning processor chips serve as an important computation foundation for the artificial intelligence industry, thus has attracted widespread attention from the international communities. The Institute of Computing Technology, Chinese Academy of Sciences took the lead in initiating fundamental research on deep learning processor chips in 2008. At that time, this research direction had not yet entered the mainstream vision of the international communities, with its academic value and development laws yet to gain widespread recognition, and it was confronted with the challenges of three fundamental scientific issues concerning its significance, principle, and architecture.To address the above issues, the research …
Leading Big Science Initiative And Boosting Basic Research,
2026
Carbon Neutral Innovation Research Center, Xiamen University, Xiamen 361005, China
Leading Big Science Initiative And Boosting Basic Research, Nianzhi Jiao
Bulletin of Chinese Academy of Sciences (Chinese Version)
As a core model for conducting cutting-edge research through global collaboration, major international science initiative (ISI) has comprehensively reshaped the development scope, resource landscape, research paradigms, talent systems, and governance ecosystems of basic research (BR). ISI and BR are deeply integrated and iteratively coordinated, forming a vital strategy for humanity to tackle major global scientific challenges. Against the backdrop of deep intertwining between scientific and technological competition and global governance, China taking the lead in ISI has become a strategic imperative for the new era, with the UN Ocean Decade Program ocean negative carbon emissions (ONCE) serving as a successful …
On Crucial Role Of The Spirit Of Chinese Scientists In Basic Research,
2026
Graduate School of China Academy of Engineering Physics, Beijing 100193, China
On Crucial Role Of The Spirit Of Chinese Scientists In Basic Research, Xin Wang, Chuanxi Wang, Changpu Sun
Bulletin of Chinese Academy of Sciences (Chinese Version)
Basic research is the source of original innovation and the foundation for building a strong nation in science and technology. Compared with applied development research and engineering research, basic research is primarily concerned with exploring the frontiers, proposing new concepts, discovering new laws, and establishing new theories. Its outcomes are often difficult to predict in advance and are rarely subject to sufficient experimental and practical verification within a short time frame. These characteristics expose basic research to three inherent challenges in the philosophy of science. First, the experimental verification of fundamental theories often requires a long period of time. Second, …
Shaping Egypt’S Transition To Sustainable Electric Transport: Current Policies And Future Directions,
2026
American University in Cairo
Shaping Egypt’S Transition To Sustainable Electric Transport: Current Policies And Future Directions, Noha A. Ragab
Theses and Dissertations
Egypt has enacted policies to promote the adoption of electric vehicles (EVs) in order to reduce their overall carbon footprint. However, the pace of transition remains limited, so the research aims to answer the following question: “How do current policies shape Egypt’s transition towards sustainable electric transport, and what additional measures can support this transition?" The study employs a qualitative analysis methodology, based on diffusion of innovation theory and conceptual framework, to analyze current policies in Egypt and identify challenges and gaps in their implementation. It also analyzes responses from 23 interviews with experts in the field, manufacturers, dealers, EV …
The Security Of Llm-Generated Code,
2026
CUNY John Jay College
The Security Of Llm-Generated Code, Christopher Brian Gonzalez Ayala
Student Theses
The rapid adoption of Large Language Models (LLMs) in software development has transformed coding practices by enabling automated code generation, completion, and optimization. Despite these advantages, concerns persist regarding the security and reliability of LLM-generated code. This study presents a comprehensive evaluation of both the functional correctness and security of code produced by three prominent LLMs as of early 2026. A total of 4,800 code snippets were generated using 100 security-focused programming prompts derived from the OWASP Top 10:2025, translated across eight natural languages and two phrasing styles (literal and natural developer-oriented prompts). To assess performance, a multi-stage experimental framework …
The Degradation Of Prices: Platform Power, The Erosion Of Price Comparison, And Rebuilding Comparison Shopping In The Digital Economy,
2026
Columbia Law School, Center for Law and the Economy
The Degradation Of Prices: Platform Power, The Erosion Of Price Comparison, And Rebuilding Comparison Shopping In The Digital Economy, Stephanie T. Nguyen, Shaoul Sussman
Center for Law and the Economy
The ability to know the price of a product or service and then compare prices of similar products or services is a foundational cornerstone of consumer choice and competitive markets. Once, buyers could more easily compare identical products across multiple sellers. However, this process has systematically degraded over time and has become increasingly difficult to do in practice. When prices are a reliable signal of product and market value, consumers can make informed purchasing decisions and sellers can compete for business by offering more attractive prices to consumers. This is a core market force that keeps price levels in check …
Generation Z And The Ai Misinformation Paradox: Understanding A New Digital Vulnerability,
2026
University of Denver
Generation Z And The Ai Misinformation Paradox: Understanding A New Digital Vulnerability, Cecilia Cooley, Elizabeth Sperber
DU Undergraduate Research Journal Archive
This paper asks: How and why is Generation Z more vulnerable to AI-generated misinformation and disinformation than older generations? Using a comparative review of recent empirical studies, survey data, and meta-analyses from 2019–2025, this paper synthesizes research on Gen Z’s exposure to and interaction with AI-produced content across social media platforms. Although it is commonly assumed that Gen Z ’s technological exposure and fluency make them better equipped to recognize false information, findings show the opposite: Gen Z is consistently outperformed by older cohorts in detecting AI-generated falsehoods. This vulnerability stems from three intersecting factors: (1) the sheer volume of …
