World Industrial Revolutions and the Development of Artificial Intelligence System

The objective-scientific conclusions obtained from the researches conducted in various fields of science prove that era and worldview are in unity and are phenomena that determine one another,and era and worldview are the most important phenomena in the understanding of geniuses,historical events,including personalities who have left a mark on the history of politics,and every individual as a whole.And it is appropriate to briefly consider the problem in the context of human and personality factors.It is known that man has tried to understand natural phenomena since the beginning of time.Contact with the material world naturally affects his consciousness and even his subconscious as he solves problems that are important or useful for human life.During this understanding,the worldview changes and is formed.Thus,depending on the material and moral development of all spheres of life,the content and essence of the progress events,as the civilizations replaced each other in different periods,the event of periodization took place and became a system.If we take Europe,the people of the Ice Age of 300,000 years ago,who engaged in hunting to solve their hunger needs,in other words,the age of dinosaurs,have spread to many parts of the world from Africa,where they lived in order to survive and meet more of their daily needs.The extensive integration of agricultural Ice Age People into the Earth included farming,fishing,animal husbandry,hunting,as well as handicrafts,etc.,and has led to the revolutionary development of the fields.As economic activities led these first inhabitants of the planet from caves to less comfortable shelters,then to good houses,then to palaces,labor activities in various occupations,including crafts,developed rapidly.Thus,the fads of the era who differed from the crowd(later this class will be called personalities,geniuses...-Kh.G.)began to appear.If we approach the issue from the point of view of history,we witness that the world view determines the development in different periods.This idea can be expressed in such a way that each period can be considered to have developed or experienced a crisis according to the level of worldview.In this direction of our thoughts,the question arises:So,what is the phenomenon of worldview of this era-XXI century?Based on the general content of the current events,characterized as the globalization stage of the modern world,we can say that the outlook of the historical stage we live in is based on the achievements of the last stage of the industrial revolution.In this article,by analyzing the history of the artificial intelligence system during the world industrial revolutions,we will study both the concept of progress of the industrial revolutions and the progressive and at the same time regressive development of the artificial intelligence system.

A Historical Approach on the Opportunity to Acquire Technology Development Capability in Turkish Automobile Industry

Turkey has given importance to the development of the automobile industry since the Ottoman period.While the Ottomans,who were aware of the development process of the automobile industry in the world,provided transportation by horse-drawn carriage,they thought of importing automobiles for the Sultan and high-level bureaucrats in an effort to switch to automobile transportation.However,after the proclamation of the Republic,automobile production started,just like airplanes.While a factory was established for the production of a domestic aircraft,the first automobile production facility was established in Istanbul in 1929 by the American Ford company.This factory was closed after a short time due to the world economic crisis.After the activities of the Kayseri Aircraft Factory,which lasted until 1948,came to an end,this time,Revolution car prototypes could be manufactured completely domestically in 1961.After the project,which did not go into mass production,the KoçGroup started to produce the domestically-made Anadol car with technology transfer from multiple sources in 1967,but the production of Anadol continued until 1984.In 1971,Renault cars started to be produced under the French Renault license,and TOFAŞcars under the Italian FIAT license.Towards the end of the 1970s,creative imitation applications were made in TOFAŞcars with the bird series.In the 1990s,the production of Japanese Honda and Toyota and South Korean Hyundai cars started.In 2011,the idea of producing a domestic automobile emerged,the Devrim automobile was taken as an example in this project,the first Togg prototype was manufactured with technology transfer from multiple sources in December 2018,and it was announced that mass production would begin in March 2023.The 12-year period from 2011 to 2023 is too long for the creation of a domestic automobile.It has been understood that this long process has been passed in order to regain the pre-1980 level of technological ability.However,the most important thing is the transition from the creative imitation stage to the innovation stage.Our wish is that this process can be shortened with phase skipping approaches.

Analysis on the development of intelligent manufacturing industry in Shanghai

Intelligent manufacturing is the transformation and upgrading of Chma＇s manutactunng industry, to speeu up me transformation from the manufacturing power to the main direction of manufacturing power, but also to implement the ＂Made in China 2025＂ and ＂lntemet plus＂ strategy to promote the supply side of the manufacturing sector reform, building a global influence of the importatu center of science and technology innovation center. An analysis of the present situation of intelligent manufacturing industry in Shanghai, we can point out the deficiency of its development and point out the direction for the development of the intelligent manufacturing industry in Shanghai.

International Papers Contribution on Artificial Intelligence Promotes the Application and Development of Big Data in the Petroleum Industry

Artificial intelligence is a new technological science that researches and develops theories,methods,technologies and application systems for simulating,extending and expanding human intelligence.It simulates certain human thought processes and intelligent behaviors(such as learning,reasoning,thinking,planning,etc.),and produces a new type of intelligent machine that can respond in a similar way to human intelligence.In the past 30 years,it has achieved rapid development in various industries and related disciplines such as manufacturing,medical care,finance,and transportation.

Historical Development in the Automotive Industries of Argentina and Turkey

It is possible to say that the automotive industries of Argentina,Brazil,and Turkey are each developed as an assembly industry and show great similarities to each other in this context.Since the 1980s,the development direction of the world automotive industry has been trying to make the country’s investment environment attractive for foreign international companies to produce in their countries in all three countries.However,with the 1980s,their adaptation to the flexible production system and other new technologies being implemented in the Japanese automotive industry took time,meaning that the learning time took a long time,and local contribution rates fell.This has made the slow development mechanism that has been going on since the past work even slower,and they have suffered the punishment for not being able to develop technologies in all three countries by falling behind in the automotive industry.In the 2000s,with technological advances in electric vehicles,when the use of electric vehicles began to become widespread,we can say that all three countries began to experience a new adaptation problem in the automotive industry more severely.In Turkey,this problem was experienced with all its weight along with the other country;in 2006,the policy of attracting foreign investment to the automotive industry was partially abandoned and the approach to producing domestic cars began to be considered,and in 2011,a decision was made to produce domestic cars.As of December 2019,a prototype of the domestic car has been produced by the automobile initiative group of Turkey and work has started for mass production.Thus,the problem of adaptation to the production of electric vehicles was desired to be overcome by moving to a new stage in the path of technology development.The South Korean automotive industry used this approach in the 1980s and was successful and soon gained the ability to develop technology.In order to see the success of the application of this method in Turkey,it is thought that it is necessary to wait for the result of the domestic car project.

Automobile Industry Ushers in Reform and Internet of Intelligences

In recent years, electric vehicles have become popular among national governments, sectors and the general public. During January to October of 2017, the production output of China＇s new energy vehicles had surpassed 0.5 million units,

Historical Development in Brazil and Turkish Automotive Industry

It is possible to say that the automotive industries of Brazil and Turkey have developed as assembly industries and showed great similarities in this context.In the 1980s,in line with the development direction of the world’s automotive industry,Turkey tried to make the country’s investment environment attractive for foreign international companies to produce in their country.We can say that while Brazil created the state incentive system in order to attract foreign investments to its country since the 1950s,it tried to increase its dose with the 1990s.Although,like Turkey,Brazil has thought of producing local cars,the difference between Turkey and Brazil is that it has considered exporting and was able to export not only to South America,but also to African countries.Another difference of Brazil is that it has implemented incentive policies for the automotive sector and has been able to rearrange its incentive elements according to changing conditions.Turkey,on the other hand,has decided to return from the policy of attracting foreign investments to its country since 2006,and in 2011,it was decided to produce domestic automobiles.As of December 2019,a prototype of the domestic car was produced by Turkey’s Automobile Initiative Group and work for mass production began.Thus,the problem of adaptation to electric vehicle production was tried to be overcome by moving to a new phase in the way of technology development.This approach was used by the South Korean automotive industry in the 1980s and it was successful and technology development capability was gained in a short time.In order to see the success of the application of this method in Turkey,it is thought that it is necessary to wait for the result of the domestic automobile project.Brazil,on the other hand,was able to rank high in world automotive industry production with its sectoral incentive policies that can adapt to changing conditions and its structure that considers exports from the past,while Turkey lagged behind.

RESEARCH ON MODEL AND METHOD OF NETWORK-BASED COOPERATIVE COMMERCE CHAIN IN AUTOMOBOLE INDUSTRY

Based on the analysis on the development of the cooperative commerce inautomobile industry, the systematic model of the cooperative commerce chain in automobile industryis illustrated, the flow of agent-based NCCC (network-based cooperative commerce chain) system isdescribed, and the method and NCCC system in automobile industry are developed, and so thecorrectness and the feasibility of the theory and the method are confirmed.

Historical Development in Brazil and Turkish Automotive Industry and Innovation Policies

It is possible to say that the automotive industries of Brazil and Turkey have developed as assembly industries and show great similarities in this context.In the 1980s,in line with the development direction of the world’s automotive industry,Turkey tried to make the country’s investment environment attractive for foreign international companies to produce in the country.We can say that while Brazil created the state incentive system in order to attract foreign investments to its country since the 1950s,it tried to increase its dose with the 1990s.Although,like Turkey,Brazil has thought of producing local cars,the difference between Turkey and Brazil is that it has considered exporting and was able to export not only to South America,but also to African countries.Another difference of Brazil is that it has implemented incentive policies for the automotive sector and has been able to rearrange its incentive elements according to changing conditions.Turkey,on the other hand,has decided to return from the policy of attracting foreign investments to its country since 2006,and in 2011,it decided to produce domestic automobiles.As of December 2019,a prototype of the domestic car was produced by Turkey’s Automobile Initiative Group and work for mass production began.Thus,the problem of adaptation to electric vehicle production was tried to be overcome by moving to a new phase in the way of technology development.This approach was used by the South Korean automotive industry in the 1980s and it was successful and technology development capability was gained in a short time.In order to see the success of the application of this method in Turkey,it is thought that it is necessary to wait for the result of the domestic automobile project.Brazil,on the other hand,was able to rank high in world automotive industry production with its sectoral incentive policies that can adapt to changing conditions and its structure that considers exports from the past,while Turkey lagged behind.

Impact of Artificial Intelligence on Economic Development

The economic growth pattern in China is changing from high-speed development to high-quality development.In order to promote high-quality economic development,it is necessary to promote the transformation and upgrading of all aspects of social reproduction.Artificial intelligence has promoted high-quality economic development in China from the aspects of innovation effect,technology spillover effect,factor improvement effect,and technology optimization effect.However,there are still several problems in China's Al development,such as the lack of core technologies,privacy and security,as well as the lack of high-tech talents.To this end,China should advance basic theoretical research and key generic technology development to improve the self-reliance of science and technology,as well as optimize the development environment of the industry and improve the relevant laws and regulations as well as the ethical norms system.A system to train high-quality personnel and a mechanism that allows personnel flow should be established to promote high-quality economic development.

中国新能源汽车产业基础再造的思路与路径研究

产业基础是产业竞争力的源泉,直接决定着一国产业发展的潜能。当前,数字经济正在改变传统产业逻辑,智能制造成为实施产业基础再造的主要趋势。新能源汽车产业作为我国战略性新兴产业之一,存在协同创新能力有待提升、智能化应用投入有限、回收业务发展滞后的现实问题。面对日益复杂的全球政治经济形势,我国新能源汽车产业可以采用技术创新、智能升级、绿色转型的思路,按照“完善顶层设计—建设创新协作平台—打造产业集群—推动企业协同发展—培育专精特新—健全配套条件—加强人才培养”的路径推进产业基础再造。

智能化转型、组织韧性与制造业企业高质量发展

新时期制造业企业高质量发展是推动制造强国建设的重要战略环节。智能化技术与制造业的深度融合,将成为制造业企业转型升级、创新发展的历史机遇。以2012—2022沪深A股制造业企业为样本,从制造业企业智能化转型出发,探讨其对企业组织韧性和企业高质量发展的影响机制,在对三者进行量化测算的基础上进行固定效应、中介效应、异质性等实证检验。研究发现:智能化转型能够显著提升制造业企业组织韧性,并带动企业全要素生产率的提升,实现制造业企业高质量发展。经实证检验,该结论稳健。同时,智能化转型对组织韧性的提升存在地区市场化程度、企业生命周期、资本密集度、股权性质的异质性。基于此,本文从宏观层面出发,提出了政府加强顶层设计,为制造业企业的数智化转型提供配套支持及企业发挥主体作用,积极推进全过程全生命周期的智能化转型的共性建议,从中观层面出发,提出了企业可通过建立稳健的财务策略,识别并规避各种风险、优化生产流程,提高生产效率,加强供应链条稳健性建设和企业文化建设等措施提升组织韧性,以应对环境不确定性日益加剧的风险。并从微观层面建议不同性质的制造业企业应依据不同特点合理审慎做出智能化转型的战略选择,以优化资源配置效率,提高市场竞争力、加大在智能化技术和设备方面的投入,赋能价值链共生共赢,支撑企业实现韧性增长。为制造业智能化转型推动产业韧性水平、实现制造业高质量发展提供理论和现实借鉴。

工业智能化与全球碳减排

基于1993—2019年51个国家的平衡面板数据,运用双重固定效应模型、中介效应模型和门槛效应模型,分析了工业智能化对全球碳减排的影响和内在机理。研究发现:工业智能化能够显著推动全球碳减排,经过一系列稳健性检验后该结论依然成立。中介效应回归结果表明,工业智能化可以通过制造业高端化和产业结构升级渠道推动全球碳减排。门槛效应回归结果表明,全球碳减排不仅受工业智能化自身发展水平的动态影响,工业集聚度在其中也发挥着调节作用。进一步研究发现,工业智能化能够更大幅度降低全球富裕国家和富裕群体的人均碳足迹,有助于缓解全球碳排放的不平等。因此,应当推动人工智能技术在工业领域的广泛应用,通过跟踪碳足迹评估政策的实际环境影响,推动工业智能化与碳减排领域的国际合作。

智媒时代应用型高校导播课程教学改革策略研究

智媒时代对传媒类人才培养提出了更高的要求。导播课程作为应用型高校传媒类专业的核心课程,应本着“以学生为中心”的教学理念,从教学模式、教育场景、课程建设等方面切入,紧跟行业一线,鼓励自主学习,推动产教融合,体现地域特色,着力培养掌握全媒体视听节目制作能力的复合型、应用型人才,与行业发展、岗位需求同频共振。

我国智能建造发展现状与趋势研究

发展智能建造是我国建筑业提升科技含量、实现高质量发展的战略选择。在辨析智能建造概念的基础上,系统梳理了国家层面智能建造政策体系以及财政、土地、税收、评优和人才等五方面的地方支持政策,总结分析了数字化设计、智能生产、智能施工、智慧运维、建筑产业互联网和智能建造装备等6大智能建造关键技术领域和典型应用场景,提出了智能建造上中下游12类核心产业的分类方法,研究了部分地方智能建造产业发展现状,剖析了国内智能建造在基础研究、产业发展模式、技术研发、政策支持等方面存在的主要问题,并研判了“提品质、降成本”将成为行业主旋律、企业将成为科技创新的主体、技术应用深度和广度将进一步扩展等智能建造未来发展趋势。

预训练大语言模型发展对中国数字创意产业的启示

预训练大语言模型与数字创意产业的结合,一方面可以促进预训练大语言模型技术研发和应用,推动自然语言处理相关产业发展,另一方面也可以为数字创意产业提供更高效、精准的解决方案,促进产业数字化转型升级。然而,目前中国预训练大语言模型在数字创意产业的运用主要侧重于文本识别生成和语音生成等领域。为此,通过阐述预训练大语言模型以及中国数字创意产业的发展现状,梳理预训练大语言模型在数字创意产业的应用范畴和商业布局,综合分析作为新质生产力引擎的预训练大语言模型在中国数字创意产业发展中的机遇与挑战,并为中国数字创意产业的发展提出建议。研究发现:融合发展是中国数字创意产业的重要趋势,网络文学、动漫游戏、短视频等细分产业开始发展出完整的产业链条;预训练大语言模型可提升数字创意产业的内容生成效率、丰富艺术创意、拓展数字娱乐形式,也可以加强社交媒体分析监测、提高跨语言应用的效率、辅助科研教育,带来提升数字创意产业的智能化水平、增强用户黏性、数字创意生产者身份多元化等机遇,但同时也面临数据成本、隐私安全、知识产权等问题。提出未来在预训练大语言模型应用于数字创意产业的发展中,重视构建相关监管评估框架和知识产权保护体系,提升多模态技术水平,强化智能算力体系建设,以推动数字创意产业的智能化发展。

基于竞争情报能力提升的中国版权服务高质量发展体系建设分析

[研究目的]版权服务是知识产权服务的重要组成部分,在大国之间围绕知识产权战略竞争日趋激烈的新形势下,运用竞争情报的理论方法对我国版权服务产业的高质量发展问题进行研究,为新形势下我国版权服务产业创新发展的理论方法研究与实务工作提供参考。[研究方法]按照产业竞争情报系统建设的理论方法,分析中国版权服务产业竞争情报系统建设的必要性和可行性,研究其目标用户识别遴选、系统的需求和功能设定、组织结构和人员设置、竞争情报服务产品和流程设计、需要的信息技术支持选择、运行机制等关键问题,从竞争情报理论方法视角研究中国版权服务高质量发展体系建设的实现路径。[研究结论]我国的版权服务是新的竞争情报应用场景,中国版权服务产业竞争情报系统建设既有必要又切实可行,围绕导入竞争情报、基于提升竞争情报能力,从五个方面就开展中国版权服务高质量发展体系建设提出了解决方案和实现路径。

以人工智能驱动的新质生产力赋能交通运输高质量发展的思考与对策建议

交通运输行业是新质生产力的重要发展领域,发展新质生产力是构建现代化交通运输产业体系,加快交通强国建设,实现行业转型升级和高质量发展的必由之路。为厘清新质生产力与交通运输高质量发展的关系,首先基于高质量发展视域,分析了新质生产力与人工智能的关系,在此基础上,论述了人工智能驱动的新质生产力赋能行业高质量发展的战略意义及其影响,最后提出相关实施路径与加快交通数据市场化进程、构建AI大模型底座和行业数据标准样本集、提升交通知识分析和服务能力、加快交通科技创新与成果转化、强化人才培养等5方面的对策建议,可为行业数字化转型升级与高质量发展提供理论支撑。

金融发展与产业智能化对绿色经济发展的赋能机制

推动绿色经济发展,加快能源绿色转型是实现碳达峰、碳中和的重要途径。基于2009-2019年中国27个省市面板数据,运用固定效应回归、分地区回归和FGLS方法,从金融发展视角,对产业智能化赋能绿色经济发展的作用机制以及空间异质性进行实证研究。结果表明:金融发展水平、产业智能化以及二者的交互作用对绿色经济发展具有显著正向影响;金融发展水平、产业智能化以及二者交互作用对绿色经济发展的影响具有显著异质性,其中,金融发展水平和产业智能化对东部地区绿色经济发展有显著影响,而二者的交互作用主要影响中西部地区绿色经济发展。

智能建造系统架构与发展路径

智能建造是建造技术与新一代信息技术相互融合、系统集成的建造模式。在产业生态和工程项目两个层面定义了智能建造,构建了涵盖智能设计、智能建造控制、智能生产、智能仓储物流、智能建造施工、智能建造验收等六大系统的智能建造系统架构,搭建了产业智能建造及项目智能建造系统,给出了智能建造技术的发展路径。发展智能建造技术,首先要发展具备统一嵌入接口规则的智能建造体系架构和基础平台系统,同时多元深度发展平台系统的单元技术,最终形成多样化智能建造技术系统。