As artificial intelligence(AI)technology has continued to develop,its efficient data processing and pattern recognition capabilities have significantly improved the precision and speed of decision-making processes,and...As artificial intelligence(AI)technology has continued to develop,its efficient data processing and pattern recognition capabilities have significantly improved the precision and speed of decision-making processes,and it has been widely applied across various fields.In the field of astronomy,AI techniques have demonstrated unique advantages,particularly in the identification of pulsars and their candidates.AI is able to address the challenges of pulsar celestial body identification and classification because of its accuracy and efficiency.This paper systematically surveys commonly used AI models for pulsar candidate identification,analyzing and discussing the typical applications of machine learning,artificial neural networks,convolutional neural networks,and generative adversarial networks in candidate identification.Furthermore,it explores how th.e introduction of AI techniques not only enhances the efficiency and accuracy of pulsar identification but also provides new perspectives and tools for pulsar survey data processing,thus playing a significant role in advancing pulsar research and the field of astronomy.展开更多
This paper focuses on the application of artificial intelligence(AI)technology in the reform of college English teaching.By analyzing the current situation of college English teaching and the advantages of AI technolo...This paper focuses on the application of artificial intelligence(AI)technology in the reform of college English teaching.By analyzing the current situation of college English teaching and the advantages of AI technology,it explores how AI technology can be applied in different aspects of college English teaching,such as teaching content delivery,language practice,and assessment.It also discusses the challenges and opportunities brought by AI technology in the teaching reform process and proposes corresponding construction strategies to promote the deep integration of AI technology and college English teaching,aiming to improve the quality and efficiency of college English teaching and develop students’comprehensive English application ability.展开更多
The integration of Green Artificial Intelligence(AI)technologies into educational systems offers a promising avenue to enhance operational efficiency while addressing sustainability challenges.Through a rigorous three...The integration of Green Artificial Intelligence(AI)technologies into educational systems offers a promising avenue to enhance operational efficiency while addressing sustainability challenges.Through a rigorous three-phase methodology combining literature review,AI agent development,and participatory workshop-based case analysis,this paper highlights the pivotal role of AI agents,as applications of Green AI technologies,in driving transformative outcomes within schools.By directly improving self-learning efficiency and reducing learning costs for students,enhancing management and service efficiency,reducing labor costs for schools,as well as minimizing resource dependence for both teachers and students,AI agents create a foundation for sustainable operations.These direct effects generate positive spillover effects,cascading into broader outcomes,including innovation performance,economic efficiency,and environmental sustainability,aligning with the United Nations Sustainable Development Goals(SDGs).By presenting a comprehensive conceptual model,this study demonstrates the pathways through which Green AI contributes to sustainable development in education and emphasizes its critical role in bridging technological innovation with sustainability.This framework provides significant theoretical insights for further empirical research while offering actionable strategies for policymakers and educators to harness Green AI for building sustainable schools with a student-centered approach.展开更多
Artificial intelligence(AI)technology is increasingly used in the field of education,but its application in molecular biology experimental teaching still faces challenges.In order to explore the application prospects ...Artificial intelligence(AI)technology is increasingly used in the field of education,but its application in molecular biology experimental teaching still faces challenges.In order to explore the application prospects of AI technology in molecular biology experimental teaching,this paper discusses the application of AI technology in molecular biology experimental teaching,focusing on the construction and application of virtual laboratories.At the same time,the advantages,challenges and future development directions of AI technology application are analyzed.The study found that AI technology has broad application prospects in molecular biology experimental teaching.AI technology can overcome many limitations in traditional experimental teaching,and can also provide personalized learning experience,real-time feedback and evaluation,and simulate complex molecular processes.However,the application of AI technology also faces challenges such as technology cost,teacher training,and curriculum design.In summary,the application of AI technology in molecular biology experimental teaching has significant advantages and can effectively improve teaching quality and learning effects.In the future,we should strengthen the integration of AI technology and traditional teaching methods,develop more AI teaching tools suitable for the characteristics of molecular biology,and focus on cultivating students’practical ability and innovative thinking.This study provides new ideas and directions for promoting the reform and innovation of molecular biology experimental teaching.展开更多
In recent years,the application of various advanced technologies,such as digitization and informatization,has become the primary tool for innovation in education and teaching.For traditional single-chip microcomputer ...In recent years,the application of various advanced technologies,such as digitization and informatization,has become the primary tool for innovation in education and teaching.For traditional single-chip microcomputer course teaching,it is necessary to emphasize the introduction and application of high-tech innovations in its path of innovative development.This course is a typical representative of multidisciplinary teaching,involving multiple disciplines such as electronic engineering,automation,and computer science.In response to issues faced in traditional teaching,such as rigid organization of teaching content that struggles to keep pace with technological advancements,resulting in a noticeable lag in knowledge transfer,and monotonous teaching methods that fail to precisely meet the diverse learning needs of students,analyzing the innovative applications of this course under the empowerment of AI technology holds significant practical relevance.In this regard,the study relies on AI technology empowerment to analyze the application paths for the deep integration of AI technology and single-chip microcomputer courses,constructing a new teaching model to provide references for enhancing teaching quality and stimulating students’innovative potential.展开更多
Traditional approaches to teaching the power system analysis course face challenges such as abstract and difficult-to-understand content,single teaching method,and limited practical links.In response,this paper explor...Traditional approaches to teaching the power system analysis course face challenges such as abstract and difficult-to-understand content,single teaching method,and limited practical links.In response,this paper explores in depth the significance and strategies of applying AI technology in the teaching of the course.The aim is to enhance students’ability to understand and apply knowledge,and to cultivate well-qualified technical professionals who can adapt to the intelligent development needs of the power industry.The proposed strategies include building an intelligent learning diagnosis platform,providing personalized learning guidance,developing an AI-integrated curriculum system,fostering a“dual-qualified and interdisciplinary”teaching team,and establishing a diversified assessment and evaluation system.展开更多
Chinese technology company iFLYTEK Co.Ltd.launched an intelligent speech recognition system designed for humanoid robots this June.While traditional robotic performance suffers in noisy environments,this AI solution a...Chinese technology company iFLYTEK Co.Ltd.launched an intelligent speech recognition system designed for humanoid robots this June.While traditional robotic performance suffers in noisy environments,this AI solution achieves 92-percent environmental sensing accuracy-overcoming a key industry challenge.It enhances humanoid computers’ability to manage complex logistics and warehouse tasks.展开更多
Ethics and governance are vital to the healthy and sustainable development of artificial intelligence(AI).With the long-term goal of keeping AI beneficial to human society,governments,research organizations,and compan...Ethics and governance are vital to the healthy and sustainable development of artificial intelligence(AI).With the long-term goal of keeping AI beneficial to human society,governments,research organizations,and companies in China have published ethical guidelines and principles for AI,and have launched projects to develop AI governance technologies.This paper presents a survey of these efforts and highlights the preliminary outcomes in China.It also describes the major research challenges in AI governance research and discusses future research directions.展开更多
Addressing issues such as the disconnect between theory and practice and low student engagement in control system education,this paper uses the course“The Working Process of Open-Loop Control Systems”as a case study...Addressing issues such as the disconnect between theory and practice and low student engagement in control system education,this paper uses the course“The Working Process of Open-Loop Control Systems”as a case study to explore the integration of AI technology with the“project-guided and task-driven”teaching model.By constructing a four-dimensional teaching framework of“situation-task-activity-evaluation,”AI tools are embedded in project practices such as the construction of a mechanical timed flower watering device and the optimization of a digital timed flower watering device,achieving precision,interactivity,and personalization in the teaching process.Teaching practice demonstrates that this model significantly enhances students’technical awareness,materialization capabilities,and engineering thinking,providing a reference for the teaching reform of technical courses in high school education.展开更多
Combining the background of modern construction engineering site safety management,this article analyzes the real-time monitoring and alarm strategies for site construction safety under the integration of BIM and AI.T...Combining the background of modern construction engineering site safety management,this article analyzes the real-time monitoring and alarm strategies for site construction safety under the integration of BIM and AI.This includes the analysis of BIM and AI technologies and their integration advantages,real-time monitoring and alarm strategies for construction site safety based on BIM and AI integration,as well as the development direction of BIM and AI integration in real-time monitoring and alarm for construction site safety.It is hoped that through this analysis,a scientific reference can be provided for the digital and intelligent management of construction site safety,promoting the digital and intelligent development of its safety management work.展开更多
With the rapid development of artificial intelligence(AI)technology,its applications in education have become increasingly widespread.As an effective foreign language teaching theory,the Production-Oriented Approach(P...With the rapid development of artificial intelligence(AI)technology,its applications in education have become increasingly widespread.As an effective foreign language teaching theory,the Production-Oriented Approach(POA)emphasizes the organic integration of the three stages-motivating,enabling,and assessing,among which the motivating stage plays a crucial role in stimulating students’learning motivation and clarifying learning objectives with its implementation quality directly determining overall teaching effectiveness.Taking Unit 1“The Kindness of Strangers”from New Century College English Integrated Course(Book 2)as a pedagogical case study,this paper explores how AI technology can establish a multidimensional support system during this phase to significantly enhance teaching efficacy.展开更多
In order to improve the management strategy for personnel files in colleges and universities,simplify the complex process of file management,and improve file management security and content preservation of the files.T...In order to improve the management strategy for personnel files in colleges and universities,simplify the complex process of file management,and improve file management security and content preservation of the files.This paper elaborates on the application of Artificial Intelligence(AI)technology in university personnel file management through theoretical analysis based on the understanding of Al technology.展开更多
The Nanning Four-Leaf Clover Cultural Communication Company(“Clover Culture”for short),which has been deeply engaged in the cultural and creative industry for 13 years,has become a calling card of this year’s China...The Nanning Four-Leaf Clover Cultural Communication Company(“Clover Culture”for short),which has been deeply engaged in the cultural and creative industry for 13 years,has become a calling card of this year’s China-ASEAN Expo(CAEXPO)thanks to its creativity in AI technology.As a first-time exhibitor,Clover Culture has not only brought its original IP“077”with the Guangxi white-headed langur as the prototype,but also collaborated with the Guangxi International Expo Affairs Bureau to launch AI animation videos and cultural and creative products.With the innovative model of“IP collaboration plus industrial activities,”the company has injected new vitality into the development of the cultural and creative industry and promoted the export of Chinese animation.展开更多
The application of artificial intelligence(AI)has the potential to revolutionize various aspects of human life and industrial production by enhancing efficiency,mitigating human error,and unlocking new avenues for inn...The application of artificial intelligence(AI)has the potential to revolutionize various aspects of human life and industrial production by enhancing efficiency,mitigating human error,and unlocking new avenues for innovation.However,the extensive computational resources demanded by AI consequently lead to substantial energy consumption,presenting a complicated challenge in balancing technological advancement with environmental sustainability.What AI can reciprocally contribute to the energy sector is an intriguing and urgent topic for discussion.This review categorizes the role of AI in terms of its explicit and implicit contributions to the energy sector by summarizing and discussing recent studies on this topic.Explicit contributions rely on the specific and actionable involvement of AI in energy production,including the improvement of energy production efficiency,optimization of renewable energy systems,and enhancement of energy security.In contrast,implicit contributions may not always be apparent but could provide valuable guidance into the energy sector,such as the optimization of energy allocation,promotion of energy conservation,support for sustainable urban development,and advancements in the development of energy materials.Perspectives on future efforts to enhance the contribution of AI to the energy sector are also presented.This review emphasizes the energy-intensive nature of AI technologies and highlights the imperative for strategies to mitigate their environmental impact,suggesting future research directions to achieve a sustainable balance.展开更多
Leveraging unique resource advantages of traditional Chinese medicine(TCM)to achieve innovative breakthroughs in research constitutes a core strategic imperative for its inheritance,innovation and development.At prese...Leveraging unique resource advantages of traditional Chinese medicine(TCM)to achieve innovative breakthroughs in research constitutes a core strategic imperative for its inheritance,innovation and development.At present,the academic advances and scientific achievements in TCM serve as a key driving force for industry growth and advancement of the inheritance and innovation of TCM.To continuously strengthen the leading role of academic research,the China Association of Chinese Medicine(CACM)attaches great importance to the latest research directions and academic results in TCM,and spotlights key advances and emerging trends in TCM scholarship.Since 2020,CACM has conducted the selection and release of the“top 10 academic advances in traditional Chinese medicine”on a yearly basis.The selection of“top 10 academic advances in traditional Chinese medicine in 2024”prioritized research that addresses clinical needs,answers scientific questions and drives industrial development.Highlighting exploratory,forward-looking,innovative and groundbreaking achievements,the following 10 breakthroughs were selected through a process of collection,systematic review and expert evaluation:New advances in prevention and treatment of digestive system diseases with“brain-gut”cross-organ strategy,high-level evidence support for prevention and treatment of cardiovascular disease(CVD)continuum with TCM,important breakthrough in the research on prevention and treatment of acute radiation injury with TCM,elucidation of molecular mechanisms underlying“excellent shape and high quality”variation in cultivated American ginseng through domestication,biosynthesis of trace active ingredients such as benzylisoquinoline alkaloids,pilot application of artificial intelligence(AI)technology,research technology for unelucidated constituents of TCM,new drug delivery system in TCM,and establishment and preliminary application of integrated evidence chain-based effectiveness evaluation of TCM(iEC-Eff).展开更多
The focus of this paper is on a new concept framework and an architecture of an intelligent decision support syetem generator (DSSG). The framework results from a synthesis of two existing frameworks: Spragae and Bonc...The focus of this paper is on a new concept framework and an architecture of an intelligent decision support syetem generator (DSSG). The framework results from a synthesis of two existing frameworks: Spragae and Bonczek, while the architecture is a rooted partial order network. From our experience which comes out of the project of DSSG, we consider that they are keys of further research and development of DSS.展开更多
A Conversation with Prof.Robert Peter Gale,Editor-in-Chief of Leukemia,on Academic Publishing and International Dissemination 1.Editor’s note In February 2025,we are very pleased to interview Professor Robert Peter G...A Conversation with Prof.Robert Peter Gale,Editor-in-Chief of Leukemia,on Academic Publishing and International Dissemination 1.Editor’s note In February 2025,we are very pleased to interview Professor Robert Peter Gale,Editor-in-Chief of Leukemia.Prof.Gale has dedicated to scientific and clinical research on leukemia and other bone marrow disorders over 50 years.In this interview,Prof.Gale shared his views on AI technology and its impact on the development of hematology.展开更多
The rapid growth of artificial intelligence(AI)technologies has sparked concerns about their environmental impact,particularly regarding electricity consumption and the challenges this poses to climate change mitigati...The rapid growth of artificial intelligence(AI)technologies has sparked concerns about their environmental impact,particularly regarding electricity consumption and the challenges this poses to climate change mitigation efforts.As AI models and data centers continue to expand,their escalating energy demands risk outpac-ing power infrastructure development,potentially leading to a“po-wer grid crisis.”Data centers,which are at the core of AI operations,consume vast amounts of electricity,and their energy-intensive na-ture could undermine progress toward climate goals(see Fig.1).展开更多
As a strategic technology leading the current round of industrial transformation and scientific and technological revolution,artificial intelligence(AI)is profoundly reshaping all facets of people's lives.Since th...As a strategic technology leading the current round of industrial transformation and scientific and technological revolution,artificial intelligence(AI)is profoundly reshaping all facets of people's lives.Since the 18th National Congress of the Communist Party of China(CPC)was held in 2012。展开更多
基金supported by the National Key R&D Program of China(2021YFC2203502 and 2022YFF0711502)the National Natural Science Foundation of China(NSFC)(12173077)+4 种基金the Tianshan Talent Project of Xinjiang Uygur Autonomous Region(2022TSYCCX0095 and 2023TSYCCX0112)the Scientific Instrument Developing Project of the Chinese Academy of Sciences(PTYQ2022YZZD01)China National Astronomical Data Center(NADC)the Operation,Maintenance and Upgrading Fund for Astronomical Telescopes and Facility Instruments,budgeted from the Ministry of Finance of China(MOF)and administrated by the Chinese Academy of Sciences(CAS)Natural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01A360)。
文摘As artificial intelligence(AI)technology has continued to develop,its efficient data processing and pattern recognition capabilities have significantly improved the precision and speed of decision-making processes,and it has been widely applied across various fields.In the field of astronomy,AI techniques have demonstrated unique advantages,particularly in the identification of pulsars and their candidates.AI is able to address the challenges of pulsar celestial body identification and classification because of its accuracy and efficiency.This paper systematically surveys commonly used AI models for pulsar candidate identification,analyzing and discussing the typical applications of machine learning,artificial neural networks,convolutional neural networks,and generative adversarial networks in candidate identification.Furthermore,it explores how th.e introduction of AI techniques not only enhances the efficiency and accuracy of pulsar identification but also provides new perspectives and tools for pulsar survey data processing,thus playing a significant role in advancing pulsar research and the field of astronomy.
文摘This paper focuses on the application of artificial intelligence(AI)technology in the reform of college English teaching.By analyzing the current situation of college English teaching and the advantages of AI technology,it explores how AI technology can be applied in different aspects of college English teaching,such as teaching content delivery,language practice,and assessment.It also discusses the challenges and opportunities brought by AI technology in the teaching reform process and proposes corresponding construction strategies to promote the deep integration of AI technology and college English teaching,aiming to improve the quality and efficiency of college English teaching and develop students’comprehensive English application ability.
基金2024 Academic Research of Zhejiang Technical Institute of Economics:“Spillover Effects of Multimodal AI Agents on Green School Development”(Project No.:X2024038)2024-2025 Research and Creative Project,Department of Culture and Tourism:“The Application of Digital Information Technology in Safety Early Warning and Supervision of Cultural Relics in Zhejiang,China”(Project No.:2024KYY045)2024 General Research Project of Zhejiang Provincial Department of Education:“Empirical Research on Low-Carbon Economy Driving the Development of New Quality Productivity:A Case Study of Zhejiang Province”(Project No.:Y202456145)。
文摘The integration of Green Artificial Intelligence(AI)technologies into educational systems offers a promising avenue to enhance operational efficiency while addressing sustainability challenges.Through a rigorous three-phase methodology combining literature review,AI agent development,and participatory workshop-based case analysis,this paper highlights the pivotal role of AI agents,as applications of Green AI technologies,in driving transformative outcomes within schools.By directly improving self-learning efficiency and reducing learning costs for students,enhancing management and service efficiency,reducing labor costs for schools,as well as minimizing resource dependence for both teachers and students,AI agents create a foundation for sustainable operations.These direct effects generate positive spillover effects,cascading into broader outcomes,including innovation performance,economic efficiency,and environmental sustainability,aligning with the United Nations Sustainable Development Goals(SDGs).By presenting a comprehensive conceptual model,this study demonstrates the pathways through which Green AI contributes to sustainable development in education and emphasizes its critical role in bridging technological innovation with sustainability.This framework provides significant theoretical insights for further empirical research while offering actionable strategies for policymakers and educators to harness Green AI for building sustainable schools with a student-centered approach.
基金Construction Project of Teaching Quality and Teaching Reform Engineering for Undergraduate Universities in Guangdong Province(Project No.:2023-248)First-Class Undergraduate Course in Guangdong Province-Molecular Biology Experiment 2023+1 种基金Curriculum Ideology and Politics Demonstration Project of Lingnan Normal University(Project No.:2022-6&2024-44)Construction Project of Teaching Quality and Teaching Reform Engineering of Lingnan Normal University(Project No.:2024-24)。
文摘Artificial intelligence(AI)technology is increasingly used in the field of education,but its application in molecular biology experimental teaching still faces challenges.In order to explore the application prospects of AI technology in molecular biology experimental teaching,this paper discusses the application of AI technology in molecular biology experimental teaching,focusing on the construction and application of virtual laboratories.At the same time,the advantages,challenges and future development directions of AI technology application are analyzed.The study found that AI technology has broad application prospects in molecular biology experimental teaching.AI technology can overcome many limitations in traditional experimental teaching,and can also provide personalized learning experience,real-time feedback and evaluation,and simulate complex molecular processes.However,the application of AI technology also faces challenges such as technology cost,teacher training,and curriculum design.In summary,the application of AI technology in molecular biology experimental teaching has significant advantages and can effectively improve teaching quality and learning effects.In the future,we should strengthen the integration of AI technology and traditional teaching methods,develop more AI teaching tools suitable for the characteristics of molecular biology,and focus on cultivating students’practical ability and innovative thinking.This study provides new ideas and directions for promoting the reform and innovation of molecular biology experimental teaching.
基金Single-Chip Microcomputer and Interface Technology Project(Project No.:SYSJ2025032)。
文摘In recent years,the application of various advanced technologies,such as digitization and informatization,has become the primary tool for innovation in education and teaching.For traditional single-chip microcomputer course teaching,it is necessary to emphasize the introduction and application of high-tech innovations in its path of innovative development.This course is a typical representative of multidisciplinary teaching,involving multiple disciplines such as electronic engineering,automation,and computer science.In response to issues faced in traditional teaching,such as rigid organization of teaching content that struggles to keep pace with technological advancements,resulting in a noticeable lag in knowledge transfer,and monotonous teaching methods that fail to precisely meet the diverse learning needs of students,analyzing the innovative applications of this course under the empowerment of AI technology holds significant practical relevance.In this regard,the study relies on AI technology empowerment to analyze the application paths for the deep integration of AI technology and single-chip microcomputer courses,constructing a new teaching model to provide references for enhancing teaching quality and stimulating students’innovative potential.
文摘Traditional approaches to teaching the power system analysis course face challenges such as abstract and difficult-to-understand content,single teaching method,and limited practical links.In response,this paper explores in depth the significance and strategies of applying AI technology in the teaching of the course.The aim is to enhance students’ability to understand and apply knowledge,and to cultivate well-qualified technical professionals who can adapt to the intelligent development needs of the power industry.The proposed strategies include building an intelligent learning diagnosis platform,providing personalized learning guidance,developing an AI-integrated curriculum system,fostering a“dual-qualified and interdisciplinary”teaching team,and establishing a diversified assessment and evaluation system.
文摘Chinese technology company iFLYTEK Co.Ltd.launched an intelligent speech recognition system designed for humanoid robots this June.While traditional robotic performance suffers in noisy environments,this AI solution achieves 92-percent environmental sensing accuracy-overcoming a key industry challenge.It enhances humanoid computers’ability to manage complex logistics and warehouse tasks.
文摘Ethics and governance are vital to the healthy and sustainable development of artificial intelligence(AI).With the long-term goal of keeping AI beneficial to human society,governments,research organizations,and companies in China have published ethical guidelines and principles for AI,and have launched projects to develop AI governance technologies.This paper presents a survey of these efforts and highlights the preliminary outcomes in China.It also describes the major research challenges in AI governance research and discusses future research directions.
文摘Addressing issues such as the disconnect between theory and practice and low student engagement in control system education,this paper uses the course“The Working Process of Open-Loop Control Systems”as a case study to explore the integration of AI technology with the“project-guided and task-driven”teaching model.By constructing a four-dimensional teaching framework of“situation-task-activity-evaluation,”AI tools are embedded in project practices such as the construction of a mechanical timed flower watering device and the optimization of a digital timed flower watering device,achieving precision,interactivity,and personalization in the teaching process.Teaching practice demonstrates that this model significantly enhances students’technical awareness,materialization capabilities,and engineering thinking,providing a reference for the teaching reform of technical courses in high school education.
基金“Research on AI-Intelligent Management Technology for Construction Safety Based on BIM Technology and Smart Construction Site Scenarios”(Project No.:KJQN202401904)“Research on Intelligent Monitoring System for Construction Quality and Safety Based on BIM and AI Technologies”(Project No.:202412608006)。
文摘Combining the background of modern construction engineering site safety management,this article analyzes the real-time monitoring and alarm strategies for site construction safety under the integration of BIM and AI.This includes the analysis of BIM and AI technologies and their integration advantages,real-time monitoring and alarm strategies for construction site safety based on BIM and AI integration,as well as the development direction of BIM and AI integration in real-time monitoring and alarm for construction site safety.It is hoped that through this analysis,a scientific reference can be provided for the digital and intelligent management of construction site safety,promoting the digital and intelligent development of its safety management work.
文摘With the rapid development of artificial intelligence(AI)technology,its applications in education have become increasingly widespread.As an effective foreign language teaching theory,the Production-Oriented Approach(POA)emphasizes the organic integration of the three stages-motivating,enabling,and assessing,among which the motivating stage plays a crucial role in stimulating students’learning motivation and clarifying learning objectives with its implementation quality directly determining overall teaching effectiveness.Taking Unit 1“The Kindness of Strangers”from New Century College English Integrated Course(Book 2)as a pedagogical case study,this paper explores how AI technology can establish a multidimensional support system during this phase to significantly enhance teaching efficacy.
文摘In order to improve the management strategy for personnel files in colleges and universities,simplify the complex process of file management,and improve file management security and content preservation of the files.This paper elaborates on the application of Artificial Intelligence(AI)technology in university personnel file management through theoretical analysis based on the understanding of Al technology.
文摘The Nanning Four-Leaf Clover Cultural Communication Company(“Clover Culture”for short),which has been deeply engaged in the cultural and creative industry for 13 years,has become a calling card of this year’s China-ASEAN Expo(CAEXPO)thanks to its creativity in AI technology.As a first-time exhibitor,Clover Culture has not only brought its original IP“077”with the Guangxi white-headed langur as the prototype,but also collaborated with the Guangxi International Expo Affairs Bureau to launch AI animation videos and cultural and creative products.With the innovative model of“IP collaboration plus industrial activities,”the company has injected new vitality into the development of the cultural and creative industry and promoted the export of Chinese animation.
基金supported by the National Key R&D Program of China(2023YFA1508001)the Beijing National Laboratory for Molecular Sciencesthe National Natural Science Foundation of China(22278002,62203015)。
文摘The application of artificial intelligence(AI)has the potential to revolutionize various aspects of human life and industrial production by enhancing efficiency,mitigating human error,and unlocking new avenues for innovation.However,the extensive computational resources demanded by AI consequently lead to substantial energy consumption,presenting a complicated challenge in balancing technological advancement with environmental sustainability.What AI can reciprocally contribute to the energy sector is an intriguing and urgent topic for discussion.This review categorizes the role of AI in terms of its explicit and implicit contributions to the energy sector by summarizing and discussing recent studies on this topic.Explicit contributions rely on the specific and actionable involvement of AI in energy production,including the improvement of energy production efficiency,optimization of renewable energy systems,and enhancement of energy security.In contrast,implicit contributions may not always be apparent but could provide valuable guidance into the energy sector,such as the optimization of energy allocation,promotion of energy conservation,support for sustainable urban development,and advancements in the development of energy materials.Perspectives on future efforts to enhance the contribution of AI to the energy sector are also presented.This review emphasizes the energy-intensive nature of AI technologies and highlights the imperative for strategies to mitigate their environmental impact,suggesting future research directions to achieve a sustainable balance.
基金supported by the Project of Map of Scientific and Technological Talents in the Field of Traditional Chinese Medicine(No.XMSB20240923106).
文摘Leveraging unique resource advantages of traditional Chinese medicine(TCM)to achieve innovative breakthroughs in research constitutes a core strategic imperative for its inheritance,innovation and development.At present,the academic advances and scientific achievements in TCM serve as a key driving force for industry growth and advancement of the inheritance and innovation of TCM.To continuously strengthen the leading role of academic research,the China Association of Chinese Medicine(CACM)attaches great importance to the latest research directions and academic results in TCM,and spotlights key advances and emerging trends in TCM scholarship.Since 2020,CACM has conducted the selection and release of the“top 10 academic advances in traditional Chinese medicine”on a yearly basis.The selection of“top 10 academic advances in traditional Chinese medicine in 2024”prioritized research that addresses clinical needs,answers scientific questions and drives industrial development.Highlighting exploratory,forward-looking,innovative and groundbreaking achievements,the following 10 breakthroughs were selected through a process of collection,systematic review and expert evaluation:New advances in prevention and treatment of digestive system diseases with“brain-gut”cross-organ strategy,high-level evidence support for prevention and treatment of cardiovascular disease(CVD)continuum with TCM,important breakthrough in the research on prevention and treatment of acute radiation injury with TCM,elucidation of molecular mechanisms underlying“excellent shape and high quality”variation in cultivated American ginseng through domestication,biosynthesis of trace active ingredients such as benzylisoquinoline alkaloids,pilot application of artificial intelligence(AI)technology,research technology for unelucidated constituents of TCM,new drug delivery system in TCM,and establishment and preliminary application of integrated evidence chain-based effectiveness evaluation of TCM(iEC-Eff).
文摘The focus of this paper is on a new concept framework and an architecture of an intelligent decision support syetem generator (DSSG). The framework results from a synthesis of two existing frameworks: Spragae and Bonczek, while the architecture is a rooted partial order network. From our experience which comes out of the project of DSSG, we consider that they are keys of further research and development of DSS.
文摘A Conversation with Prof.Robert Peter Gale,Editor-in-Chief of Leukemia,on Academic Publishing and International Dissemination 1.Editor’s note In February 2025,we are very pleased to interview Professor Robert Peter Gale,Editor-in-Chief of Leukemia.Prof.Gale has dedicated to scientific and clinical research on leukemia and other bone marrow disorders over 50 years.In this interview,Prof.Gale shared his views on AI technology and its impact on the development of hematology.
文摘The rapid growth of artificial intelligence(AI)technologies has sparked concerns about their environmental impact,particularly regarding electricity consumption and the challenges this poses to climate change mitigation efforts.As AI models and data centers continue to expand,their escalating energy demands risk outpac-ing power infrastructure development,potentially leading to a“po-wer grid crisis.”Data centers,which are at the core of AI operations,consume vast amounts of electricity,and their energy-intensive na-ture could undermine progress toward climate goals(see Fig.1).
文摘As a strategic technology leading the current round of industrial transformation and scientific and technological revolution,artificial intelligence(AI)is profoundly reshaping all facets of people's lives.Since the 18th National Congress of the Communist Party of China(CPC)was held in 2012。
