Artificial intelligence and digital technologies in agricultural development research and practice

Purpose: The aim of the study was to investigate the application of artificial intelligence and digital technologies in fashion design and innovation. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: AI and digital technologies revolutionize fashion by aiding design through data analysis, enabling virtual prototyping, and providing personalized recommendations. They optimize supply chains, enhance sustainability, and offer virtual try-on experiences. Customization options expand, driven by predictive analytics for trend forecasting, while AI-driven customer engagement tools enhance support. These innovations foster efficiency, sustainability, customization, and customer engagement in fashion. Unique Contribution to Theory, Practice and Policy: Social identity theory, diffusion of innovation theory & social learning theory may be used to anchor future studies on the application of artificial intelligence and digital technologies in fashion design and innovation. Implement AI-driven customization tools that allow customers to design their own clothing, leading to increased customer satisfaction and brand loyalty. Encourage the adoption of technologies that promote inclusivity and diversity in fashion by providing incentives for companies to invest in personalized design solutions.

We are glad to introduce you that the 2021 3rd International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2021) was successfully held on September 10-12, 2021. In light of worldwide travel restriction and the impact of COVID-19, ICAITA 2021 was carried out in the form of virtual conference to avoid personnel gatherings. Because most participants were still highly enthusiastic about participating in this conference, we chose to carry out ICAITA 2021 via online platform according to the original schedule instead of postponing it.ICAITA 2021 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence Technologies and Applications to a common forum. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence Technologies and Applications and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Artificial Intelligence Technologies and Applications and related areas.This scientific event brings together more than 100 national and international researchers in artificial intelligence technologies and applications. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.We were pleased to invite three distinguished experts to present their insightful speeches. Our first keynote speaker, Prof. Yau Kok Lim, from Sunway University, Malaysia. His research interests include Applied artificial intelligence, 5G networks, Cognitiveradio networks, Routing and clustering, Trust and reputation, Intelligent transportation system. And then we had Prof. Peter Sincak, from Technical University of Kosice, Slovakia. His research includes Artificial Intelligence and Intelligent Systems. Lastly, we were glad to invite Chinthaka Premachandra, from Shibaura Institute of Technology, Sri Lanka. His research interests include Artificial Intelligence, image processing and robotics. In the last part of the conference, all participants were invited to join in a WeChat group to discuss and explore the academic issues after the presentations. The online discussion was lasted for about 30-60 minutes. The first two parts were conducted via online collaboration tool, Zoom, while the online discussion was carried out through instant communication tool, WeChat. The online platform enabled all participants to join this grand academic event from their own home.We are glad to share with you that we still received lots of submissions from the conference during this special period. Hence, we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: Artificial Intelligence Applications & Technologies, Computing and the Mind, Foundations of Artificial Intelligence and other related topics. All the papers have been through rigorous review and process to meet the requirements of international publication standard.Lastly, we would like to express our sincere gratitude to the Chairman, the distinguished keynote speakers, as well as all the participants. We also want to thank the publisher for publishing the proceedings. May the readers could enjoy the gain some valuable knowledge from the proceedings. We are expecting more and more experts and scholars from all over the world to join this international event next year.The Committee of ICAITA 2021List of titles Committee member, General Conference Chair, Technical Program Committee Chair, Academic Committee Chair, Technical Program Committee Member, Academic Committee Member are available in this Pdf.

AI Applications in Health Sector: Use of Artificial Intelligence in Covid-19 Crisis and Impacts of Medical Robots on Global Economy

The 2019 International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2019) was held in Qingdao, China, from 5 to 7 July 2019. The conference report reflects the current interests of international and Chinese research circles, such as artificial intelligence applications, artificial neural networks, natural computing, parallel processing, pattern recognition, programming languages and data mining. The 2019 International Conference on Artificial Intelligence Technology and Applications is a multidisciplinary conference that brings together students, young researchers, postdoctoral and experienced researchers working in different research fields to promote the gathering and sharing of interests and to achieve results so as to achieve better cooperationThe Conference work was carried out in 3 sections:● Artificial Neural Networks and Intelligent Application Technology● Scientific Computing and Novel Computing Models● Communications applications and Power Electronic EquipmentCommittee memberList of Conference Chairs, Technical Program Committee, Conference Secretary are available in the pdf.

As we race towards 2030, the target date for achieving the U.N. Sustainable Development Goals, it is critical that we examine our approaches to agricultural development research and practice. We should not expect extraordinary results by using the approaches we have always used. Rather, we must innovate. To that end, Advancements in Agricultural Development held a Symposium on Methods of Agricultural Development Research and Practice in October 2023 on the University of Reading campus, co-hosted by the School of Agriculture, Policy and Development. We invited recognized experts from around the world to develop papers focused on innovative methods of agricultural development practice or innovative methods of agricultural development research. We had ten papers presented that were authored by 26 researchers representing 13 universities/research institutes in 6 countries. Sixteen authors attended the symposium to present their papers. A healthy dialogue followed each presentation to help authors refine their papers, resulting in the articles published in this special issue. A summary of each article is provided.

With the advancement of society and the increase of computer, network and digital media technology, digital media technology has become an indispensable part of the modern service industry. The application of digital media technology in artificial intelligence has enabled the development of all aspects of life, such as the company's internal training, system development, update and maintenance from “quality” to “quantity”. This article mainly introduces the application analysis of artificial intelligence in digital media technology. This paper uses the application analysis of artificial intelligence in digital media technology and proposes a visual media management model. Use artistic innovation methods to analyze and analyze the application of digital media technology in artificial intelligence to improve the standardization and accuracy of digital media. The experimental results of this paper show that the application of visual media and the technology of artistic innovation combined with artificial intelligence technology have increased the innovation rate of digital media by 23%, and improved the interactive synthesis of images and video materials.KeywordsArtificial intelligenceDigital mediaVisual mediaArtistic innovation

With the rapid development of Artificial Intelligence (AI) technology, global economic models and market structures are undergoing profound transformations, particularly in the fields of international trade and logistics, where the application of AI is becoming a key driver for improving efficiency, reducing costs, and enhancing customer experience. Traditional international trade and logistics systems face multiple challenges such as supply chain opacity, high transportation costs, information asymmetry, and low operational efficiency. The introduction of AI technology, especially in areas such as big data analytics, machine learning, automation systems, and intelligent decision support, has gradually demonstrated its powerful potential in addressing these issues. This study aims to explore the specific applications of AI in international trade and logistics, as well as its role in driving the digital transformation of global supply chains. By analyzing the practical applications of AI in key areas such as supply chain management, trade data processing, and intelligent logistics, this paper seeks to provide valuable theoretical support and practical guidance for relevant enterprises and policymakers to promote industry development and enhance corporate competitiveness. To achieve this goal, the study adopts a case study approach, combining current industry data and AI technology development trends to comprehensively assess the current state and future potential of AI applications in international trade and logistics.

Many countries have enacted a quick response to the unexpected coronavirus disease 2019 (COVID-19) pandemic by using existing technologies. For example, robotics, artificial intelligence, and digital technology have been deployed in hospitals and public areas for maintaining social distancing, reducing person-to-person contact, enabling rapid diagnosis, tracking virus spread, and providing sanitation. In this study, 163 news articles and scientific reports on COVID-19-related technology adoption were screened, shortlisted, categorized by application scenario, and reviewed for functionality. Technologies related to robots, artificial intelligence, and digital technology were selected from the pool of candidates, yielding a total of 50 applications for review. Each case was analyzed for its engineering characteristics and potential impact on the COVID-19 pandemic. Finally, challenges and future directions regarding the response to this pandemic and future pandemics were summarized and discussed.

The application of artificial intelligence (AI) technology in computer network technology is becoming increasingly extensive and in-depth. This paper analyzes the application of artificial intelligence in network security, network management, Internet of Things, edge computing and network services in detail. In network management, AI technology realizes network traffic optimization, automatic configuration and fault prediction, and improves the efficiency of network management. In the field of Internet of Things, AI technology helps manage and analyze a large amount of device data, supporting the development of smart homes and smart cities. In edge computing, AI technology enhances the data processing capabilities of edge nodes and reduces latency. In network services, artificial intelligence technology optimizes routing, voice recognition and personalized recommendation services. However, the application of artificial intelligence in network technology also faces challenges such as data privacy, computing resources and laws and regulations. This paper aims to provide a comprehensive reference for industry insiders to promote the application and development of artificial intelligence technology in computer networks.

The application of artificial intelligence (AI) technology in computer network technology is becoming increasingly extensive and in-depth. This paper analyzes the application of artificial intelligence in network security, network management, Internet of Things, edge computing and network services in detail. In network management, AI technology realizes network traffic optimization, automatic configuration and fault prediction, and improves the efficiency of network management. In the field of Internet of Things, AI technology helps manage and analyze a large amount of device data, supporting the development of smart homes and smart cities. In edge computing, AI technology enhances the data processing capabilities of edge nodes and reduces latency. In network services, artificial intelligence technology optimizes routing, voice recognition and personalized recommendation services. However, the application of artificial intelligence in network technology also faces challenges such as data privacy, computing resources and laws and regulations. This paper aims to provide a comprehensive reference for industry insiders to promote the application and development of artificial intelligence technology in computer networks.

In the late 2010s, artificial intelligence (AI) technologies became complementary to the research areas of food science and nutrition. This review aims to summarize these technological advances by systematically describing the following: the use of AI in other fields (eg, engineering, pharmacy, and medicine); the history of AI in relation to food science and nutrition; the AI technologies currently used in the agricultural and food industries; and some of the important applications of AI in areas such as immunity-boosting foods, dietary assessment, gut microbiome profile analysis, and toxicity prediction of food ingredients. These applications are likely to be in great demand in the near future. This review can provide a starting point for brainstorming and for generating new AI applications in food science and nutrition that have yet to be imagined.

To review the application and research progress of artificial intelligence (AI) technology in trauma treatment. The recent research literature on the application of AI and related technologies in trauma treatment was reviewed and summarized in terms of prehospital assistance, in-hospital emergency care, and post-traumatic stress disorder risk regression prediction, meanwhile, the development trend of AI technology in trauma treatment were outlooked. The AI technology can rapidly analyze and manage large amount of clinical data to help doctors identify patients' situation of trauma and predict the risk of possible complications more accurately. The application of AI technology in surgical assistance and robotic operations can achieve precise surgical plan and treatment, reduce surgical risks, and shorten the operation time, so as to improve the efficiency and long-term effectiveness of the trauma treatment. There is a promising future for the application of AI technology in the trauma treatment. However, it is still in the stage of exploration and development, and there are many difficulties of historical data bias, application condition limitations, as well as ethical and moral issues need to be solved.

Under the background of the rapid development of digital intelligence, how to integrate ideological and political elements into college education is facing new opportunities and challenges. Taking the course "Financial Derivatives" as an example, this paper combines big data, artificial intelligence and other modern information technologies, and deeply integrates ideological and political elements with financial professional knowledge, so as to explore the teaching path of ideological and political education under the trend of digital intelligence. This paper first analyzes the essence and importance of ideological and political finance professional courses, and points out the necessity and urgency of integrating ideological and political elements into finance professional teaching. At the same time, this paper also discusses the application of digital intelligence technology in the course of ideological and political science, such as the use of big data technology to realize the innovation of teaching methods and means, and to improve the pertinence and effectiveness of ideological and political elements through artificial intelligence technology. Finally, this paper summarizes the current situation and problems of ideological and political education teaching under the trend of digital intelligence, and puts forward a new path choice, aiming to provide useful reference for the ideological and political education in the era of digital intelligence.

The article is devoted to the study of the application of artificial intelligence technologies in law enforcement activities in Ukraine and the world. The purpose of the article is to analyze the international and domestic experience of using digital technologies in law enforcement activities, to identify the shortcomings of the legal regulation of the use of artificial intelligence in this area, to provide proposals for its improvement in Ukraine. It was found that one of the countries that is actively expanding the use of artificial intelligence and successfully introducing relevant technologies into public administration is China. The artificial intelligence system which is used in China called «Zero Trust». The purpose of using this system is to prevent the commission of corruption offenses. It is emphasized, that the disadvantage of the «Zero Trust» system is that artificial intelligence, identifying the cause of corruption, does not indicate the algorithms and principles of this process. At the same time, the experience of using artificial intelligence in the field of preventing and combating corruption in Ukraine is considered when carrying out automated verification of persons declarations of authorized to perform state and local government functions. Ways of improving legal regulation when conducting financial control of declarations using artificial intelligence technologies are proposed. It has been found that artificial intelligence is widely used in the USA to predict the prevalence and state of crime. It was emphasized that Ukraine also has experience in the application of artificial intelligence technologies in law enforcement activities. Artificial intelligence is used in the development and implementation of departmental specialized intelligent software, the implementation of operative and investigative actions (for the recognition of video objects observation by comparing images in social networks, etc). It was concluded that artificial intelligence and digital technologies help to quickly process large volumes of information in the investigation and prevention of criminal activity. Modern developments in the field of artificial intelligence and advanced digital technologies, which are implemented in foreign countries to prevent and fight crime, are of great importance for the improvement of legal regulation in this field in Ukraine.

Human beings by nature have a predisposition towards learning and exploration of natural world. We are intrinsically intellectual and social beings knitted with adaptive cognitive architectures. As Foot (2014) succinctly sums it up: humans act collectively, learn by doing, and in and via their actions and they ... make, employ, and adapt tools of all kinds to learn and communicate and community is central to process of making and interpreting meaning-and thus to all forms of learning, communicating, and acting (p.3). Education remains pivotal in transmission of social values including language, knowledge, science, technology, and an avalanche of others. Indeed, Science, Technology, Engineering, and Mathematics (STEM) have been significant to advancement of social cultures transcending every epoch to contemporary times. As Jasanoff (2004) poignantly observed, the ways in which we know and represent world (both nature and society) are inseparable from ways in which we choose to live in it. [...] Scientific knowledge [..] both embeds and is embedded in social practices, identities, norms, conventions, discourses, instruments, and institutions (p.2-3). In essence, science remains both a tacit and an explicit cultural activity through which human beings explore their own world, discover nature, create knowledge and technology towards their progress and existence. This has been possible through interaction and applications of artifacts, tools, and technologies within purviews of their environments. The applications of technologies are found across almost every luster of organizational learning especially teacher education, STEM, architecture, manufacturing, and a flurry of others. Thus, human evolution and development are inexplicably linked with education either formally or informally. The 21st century has however seen a surge in use of artificial intelligence (AI) and digital technologies in education. The proliferation of artificial intelligence and associated technologies are creating new overtures of digital multiculturalism with distinct worldviews of significance to education. For example, learners are demonstrating digital literacy skills and are knowledgeable about AI technologies across every specter of their lives (Bennett et al., 2008). It is also opening new artesian well-springs of educational opportunities and pedagogical applications. This includes mapping new methodological pathways, content creation and curriculum design, career preparations and indeed a seemingly new paradigm shift in teaching STEM.There is growing scholarly evidence about use and diffusion of these technologies in K-12 and higher education (Bonk & Graham, 2012;Hew & Brush, 2007;Langer, 2018;Mishra & Koehler, 2006). Some of these include Sphero robots, Micro Bit, Jill Watson, BrickPi3 Classroom kit, Engino STEM Mechanic, Lego Education WeDo Core Set and Spike. Both educators and learners are using these in STEM programs as well as other education related activities. Just as human activities and interactions with artifacts and tools shaped and redefined scientific-technological feat of previous generations, so contemporary digital technological era seems to be on a similar trajectory. However, there is sparsity of empirical scholarship on pedagogical prospects and effectiveness of artificial intelligence in STEM classrooms. Also, it should be noted that scholarship on how AI impacts pedagogical content knowledge of STEM educators and how learners perceive these technologies are just emerging. In addition, recent COVID-19 pandemic (Ghandhi et al., 2020;Rasmussen et al., 2020) has unexpectedly created a renewed synergy towards applications of digital technologies in teaching STEM. (PsycInfo Database Record (c) 2021 APA, all rights reserved)