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Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 173-183 doi: 10.15302/J-SSCAE-2022.07.010

Abstract:

Deep learning has enhanced the versatility of artificial intelligence(AI) algorithms.In the last decade, the AI industry has been spawned and developing rapidly.technologies that focus on full-stack AI, AI basic platform and tool system, and AI root technology,thus to improve the independence of China's AI core technologies.

Keywords： artificial intelligence (AI)     enterprise scenarios     intelligent solutions     application     full-stack AI     AI root technology    

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Multiple Knowledge Representation of Artificial Intelligence

Yunhe Pan

Engineering 2020, Volume 6, Issue 3,   Pages 216-217 doi: 10.1016/j.eng.2019.12.011

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Development of Content Security Based on Artificial Intelligence

Zhu Shiqiang, Wang Yongheng

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 67-74 doi: 10.15302/J-SSCAE-2021.03.004

Abstract: The recent development of artificial intelligence (AI) has had a very important impact on content securityIn this article, we summarize the research status and development trends of AI-based content securityabroad based on the major strategic demand therefor, and presents the key technical issues regarding AI-basedInnovation and breakthroughs should be made in areas such as adversarial machine learning, explainable AI, hybrid enhanced intelligence, and knowledge-driven content security.

Keywords： artificial intelligence (AI)，content security，system construction    

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Cyber security meets artificial intelligence: a survey Review Article

Jian-hua LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12,   Pages 1462-1474 doi: 10.1631/FITEE.1800573

Abstract:

There is a wide range of interdisciplinary intersections between cyber security and artificial intelligence(AI).On one hand, AI technologies, such as deep learning, can be introduced into cyber security to constructsmart models for implementing malware classification and intrusion detection and threating intelligenceBased on the above two aspects, we review the intersection of AI and cyber security.

Keywords： Cyber security     Artificial intelligence (AI)     Attack detection     Defensive techniques    

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Development Strategy for the Core Software and Hardware of Artificial Intelligence in China

Gao Lei, Fu Yongquan, Li Dongsheng, Liao Xiangke

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 90-97 doi: 10.15302/J-SSCAE-2021.03.008

Abstract:

Artificial intelligence (AI) is an important enabling technology forPromoting AI core software and hardware technologies and industry is strategically significant for theIn this study, we summarize the development status of AI core hardware and software in China and abroadSubsequently, we present the development ideas of China’s AI hardware and software technology andcore hardware, AI core software, and AI-related basic technology.

Keywords： artificial intelligence (AI)     core software and hardware     AI chip     basic intelligent algorithm     new enabling    

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Artificial Intelligence Ethics Supervision in China: Demand Analysis and Countermeasures

Liu Lu, Yang Xiaolei, Gao Wen

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 106-112 doi: 10.15302/J-SSCAE-2021.03.006

Abstract:

The rapid development of artificial intelligence (AI) industry is accompaniedAllowing humans to securely enjoy the major benefits of AI technology has become an important task ofAI supervision., and analyze the demand for AI ethical supervision in China from multiple dimensions.on the technical progress of AI.

Keywords： artificial intelligence (AI)     governance structure     ethical supervision     ethics committee    

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Crowd intelligence in AI 2.0 era Review

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 15-43 doi: 10.1631/FITEE.1601859

Abstract: based cyber-physical world has profoundly changed the information environment for the development of artificialintelligence (AI), bringing a new wave of AI research and promoting it into the new era of AI 2.0.As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attractedSpecifically, crowd intelligence provides a novel problem-solving paradigm through gathering the intelligenceIn this paper, we survey existing studies of crowd intelligence.

Keywords： Crowd intelligence     Artificial intelligence 2.0     Crowdsourcing     Human computation    

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After Artificial Intelligence Breaks Longstanding Matrix Multiplication Records, Humans Quickly Do Better

Dana Mackenzie

Engineering 2023, Volume 28, Issue 9,   Pages 1-3 doi: 10.1016/j.eng.2023.07.002

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FinBrain: when finance meets AI 2.0 Review Articles

Xiao-lin ZHENG, Meng-ying ZHU, Qi-bing LI, Chao-chao CHEN, Yan-chao TAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 914-924 doi: 10.1631/FITEE.1700822

Abstract:

Artificial intelligence (AI) is the core technology of technological revolution and industrial transformationAs one of the new intelligent needs in the AI 2.0 era, financial intelligence has elicited much attentionIn our current dynamic capital market, financial intelligence demonstrates a fast and accurate machineIn this paper, we survey existing studies on financial intelligence.We believe that these research directions can lay the foundation for the development of AI 2.0 in the

Keywords： Artificial intelligence     Financial intelligence    

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Application of AI techniques in monitoring and operation of power systems

David Wenzhong GAO, Qiang WANG, Fang ZHANG, Xiaojing YANG, Zhigang HUANG, Shiqian MA, Qiao LI, Xiaoyan GONG, Fei-Yue WANG

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 71-85 doi: 10.1007/s11708-018-0589-4

Abstract: In recent years, the artificial intelligence (AI) technology is becoming more and more popular in manyHowever, the application of AI techniques in power systems is still in its infancy.Therefore, in this paper, the application potentials of AI technologies in power systems will be discussedFor the power system operation, the problems, the demands, and the possible applications of AI techniquesnetwork (NN) for power flow analysis is provided as a simple example to demonstrate the viability of AI

Keywords： power system operation and monitoring     artificial intelligence (AI)     deep learning     power flow analysis    

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Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Strategic Study of CAE 2022, Volume 24, Issue 1,   Pages 198-204 doi: 10.15302/J-SSCAE-2022.01.021

Abstract: Artificial intelligencebased software as a medical device (AI-Based SaMD) is an important product inthe health field enabled by artificial intelligence (AI).As AI develops further, its unique black box algorithm and independent learning ability have posed majorThis article summarizes the current status of supervision systems and supporting resources of AI-BasedIn addition, we explore the problems and challenges of AI-Based SaMD in China.

Keywords： software as a medical device (SaMD)，artificial intelligence (AI)，supervision science    

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Artificial Intelligence Security in Multiple-Unmanned System Cooperation

Shi Wen, Wang Kaiwen, Yu Chengpu, Sun Jian, Chen Jie

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 82-89 doi: 10.15302/J-SSCAE-2021.03.007

Abstract: nbsp;Multiple unmanned system cooperation is an important component of China’s new-generation artificialintelligence (AI) planning and it is a transformative technology for future national defense constructiontechnological research and system integration of multiple unmanned system cooperation, research on AIPromoting multiple unmanned system cooperation enables AI application and risk control.talent teams; services need to be upgraded for the unmanned system industry to develop a new-generation AI

Keywords： multiple unmanned system cooperation，artificial intelligence (AI) security，security risk prevention and    

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Artificial Intelligence Enabled Cyberspace Security Defense

Jia Yan, Fang Binxing, Li Aiping, Gu Zhaoquan

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 98-105 doi: 10.15302/J-SSCAE-2021.03.003

Abstract: With the rapid development of artificial intelligence (AI) technology and its application in variousThis study analyzes the new risks of cyberspace security in the era of AI, such as more intelligent networkAI technology has significant advantages in dealing with massive data, multi-source heterogeneous dataThis study introduces some key problems and technologies of AI-enabled cyberspace security defense, particularlyknowledge brain, the promotion of intelligent detection against network attacks, and the evaluation of AI

Keywords： artificial intelligence (AI)，cyberspace security，cyber attacks，cyber defense    

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FinBrain 2.0: when finance meets trustworthy AI Review

Jun ZHOU, Chaochao CHEN, Longfei LI, Zhiqiang ZHANG, Xiaolin ZHENG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1747-1764 doi: 10.1631/FITEE.2200039

Abstract: Artificial intelligence (AI) has accelerated the advancement of financial services by identifying hiddenaddition to commonly desired attributes, such as model accuracy, financial services demand trustworthy AIthese progress and limitations, we introduce FinBrain 2.0, a research framework toward trustworthy AIWe argue that we are still a long way from having a truly trustworthy AI in financial services and callfor the communities of AI and financial industry to join in this effort.

Keywords： Artificial intelligence in finance     Trustworthy artificial intelligence     Risk management     Fraud detection    

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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: Therefore, this article proposes an interactive knowledge learning approach using artificial intelligence

Keywords： artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

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Title Author Date Type Operation

Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Journal Article

Multiple Knowledge Representation of Artificial Intelligence

Yunhe Pan

Journal Article

Development of Content Security Based on Artificial Intelligence

Zhu Shiqiang, Wang Yongheng

Journal Article

Cyber security meets artificial intelligence: a survey

Jian-hua LI

Journal Article

Development Strategy for the Core Software and Hardware of Artificial Intelligence in China

Gao Lei, Fu Yongquan, Li Dongsheng, Liao Xiangke

Journal Article

Artificial Intelligence Ethics Supervision in China: Demand Analysis and Countermeasures

Liu Lu, Yang Xiaolei, Gao Wen

Journal Article

Crowd intelligence in AI 2.0 era

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Journal Article

After Artificial Intelligence Breaks Longstanding Matrix Multiplication Records, Humans Quickly Do Better

Dana Mackenzie

Journal Article

FinBrain: when finance meets AI 2.0

Xiao-lin ZHENG, Meng-ying ZHU, Qi-bing LI, Chao-chao CHEN, Yan-chao TAN

Journal Article

Application of AI techniques in monitoring and operation of power systems

David Wenzhong GAO, Qiang WANG, Fang ZHANG, Xiaojing YANG, Zhigang HUANG, Shiqian MA, Qiao LI, Xiaoyan GONG, Fei-Yue WANG

Journal Article

Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Journal Article

Artificial Intelligence Security in Multiple-Unmanned System Cooperation

Shi Wen, Wang Kaiwen, Yu Chengpu, Sun Jian, Chen Jie

Journal Article

Artificial Intelligence Enabled Cyberspace Security Defense

Jia Yan, Fang Binxing, Li Aiping, Gu Zhaoquan

Journal Article

FinBrain 2.0: when finance meets trustworthy AI

Jun ZHOU, Chaochao CHEN, Longfei LI, Zhiqiang ZHANG, Xiaolin ZHENG

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article