Articles

Discerning Digital from Canvas: Investigating Visual Distinction between AI-Generated Art and Actual Art among Far Eastern University’s Institute of Architecture and Fine Arts (IARFA) and Non-IARFA Students

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Artificial Intelligence is one of the current generation’s inventions that has been widely used. It has helped make lives easier, especially regarding appliances and business, and it has also altered various industries, including the arts. However, this development has sparked different perspectives among artists and non-artists. This study aims to evaluate how students, both artists, and non-artists, perceive the differences between real art and artificial intelligence-generated art. For this study, a total of fifty (50) students will be gathered, consisting of twenty-five (25) non-artist students from different courses and twenty-five (25) artist students from the IARFA Institute of Far Eastern University. The participants will receive the questionnaire via Messenger. The results of this study showed that the participants could differentiate actual art from AI-generated art based on their knowledge when evaluating artworks. Additionally, it demonstrates that artist students showed more confidence in determining actual artworks from AI-generated artworks due to their knowledge. While non-artists remain skeptical in determining artworks as they base their perception on how they see art.

Envisioning the Future: A Quantitative Analysis of Architecture Students’ Perspectives on Artificial Intelligence Integration in Architectural Design across Region III, IV-A, and NCR, Philippines

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In an era characterized by modernization and technological advancements, the emergence of artificial intelligence (AI) has brought changes to the different processes of various industries, including the field of architecture. To address concerns and present the views of those in the industry, this research aims to identify and describe the perceptions of Architecture students from various universities/colleges towards adopting AI in Architectural Design through descriptive-correlational research. As well as to discover the students’ acceptance level in adopting artificial intelligence in academic curriculum. Forty-five (45) university/college students enrolled in an Architecture program across diverse institutions drawn from a purposive sampling method answered a survey questionnaire containing Twenty (20) questions answerable by a 5-point Likert Scale. The results revealed that the students’ perceptions were neutral regarding adopting artificial intelligence in academic curriculum and future employment and careers. The correlational analysis suggested that the relationship between the perception of AI in architecture and its impact on career and employment was weak as they saw the potential threat of AI in future employment opportunities. The researchers recommended the results of this study for future research when gathering data related to artificial intelligence, the perception of the students, and the development of AI on how to improve and recognize the limitations of its use.

Machine Learning as Managerial Tool: A Case Study in ADNOC

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In the current business environment, managers are facing challenges in managing different kinds of people. They find it difficult to track, evaluate, and manage employees in a fast-paced work setting. Machine learning is an emerging concept that deals with unsupervised and supervised learning of a machine to provide a usable system. In this matter, this paper aims to investigate how companies can leverage the use of machine learning in people management and in improving the performance, productivity, and motivation of employees and managers. Thus, the research used both qualitative and quantitative research approaches to examine the impact of machine learning in an organizational setting.

Circular Economy Transformation in Chemical Industry: Integrating CRM and AI for Sustainable Growth

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This white paper explores the pivotal role of Customer Relationship Management (CRM) in the digital transformation journey of the chemical industry. As customer expectations continue to evolve and competition intensifies, chemical companies are turning to CRM solutions to enhance customer interactions, streamline operations, and drive business growth. The abstract provides an overview of CRM’s significance in the chemical sector, highlighting its role in customer segmentation, sales automation, marketing optimization, and customer service enhancement. By centralizing and optimizing customer-related processes, CRM enables chemical companies to deliver personalized experiences, improve sales productivity, and foster stronger customer relationships. Through a comprehensive examination of CRM implementations and potential applications in the chemical industry, this white paper aims to provide valuable insights for industry professionals seeking to leverage CRM to navigate the challenges and opportunities of the digital age.

Developing Self-Learning Competence for Students Based on Learning Theories Combined With the Support of AI Chatbot in Teaching

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To ensure the educational goals of the 21st century, creating a “learning society” and “lifelong learning,” the development of self-learning competence in the teaching process is crucial. Constructivism and Metacognition theories have shown that teachers need to create a learning environment that helps learners build and create knowledge for themselves based on thinking, exploration, and practice. This approach aids in the development of students’ self-learning competence. AI Chatbot serves as an effective tool in building a virtual assistant, a virtual practice medium that allows students to interact, inquire, and experience 24/7 from anywhere. With AI Chatbot, students will receive support according to their needs, desires, and self-awareness levels. Moreover, AI Chatbot provides a suitable environment for developing self-learning competence for students.

The Importance of Artificial Intelligence in Modern Media Education Technologies in Institutions of Higher Education

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This scientific work provides information about the importance of artificial intelligence in modern media education technologies in institutions of higher education. Artificial intelligence in media education in Uzbekistan offers unique opportunities for students and educators. Initially, artificial intelligence (AI) is employed for personalizing the educational process by adapting learning materials to the individual needs of each student. This contributes to more effective comprehension of the material and improved academic performance.

Developing a Business Model Canvas for Online Classified Ads Platform: A Startup Case Study

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A growing culture of using the internet, aims to provide products and services that are modern and safe in the online advertising market. This study proposes a business model canvas for new startups classified online ads to gain a competitive advantage in the Indonesian market. Utilizing qualitative research, this study explores the development of an online classifieds business, with a focus on the integration of AI technology and in app payment systems. The proposed model includes product development, marketing and gathering user feedback. Likewise, the company can implement the proposed business model by developing its platform features and customer service.

Drawing Various Graphics and Shapes and Creating Animated Models of Them in Video form and Securing them Using Artificial Intelligence

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Algorithms and tools for establishing optimal control in artificial intelligence software and hardware, drawing images, information security, and using fractal technologies are discussed. Bring your ideas to life with AI–generated images. If you’re a problem solver with a passion for machine learning and a desire to work on cutting–edge technologies, we want to hear from you. We have a variety of open positions in research, development and other areas. Come be part of our team and help change the way the world thinks about artificial intelligence and imaging. Intelligently designed robots help and work in various areas of human life. What is artificial intelligence. If we talk about artificial intelligence, there are many methods of artificial intelligence around the world. A special national strategy for the development of artificial intelligence has also been developed in Uzbekistan. You must have heard of 10 Mobile AI Art Generator Apps for Android and IOS in 2023. They are powered by artificial intelligence. Whether you are an artist or not, you might be interested in creating art with AI art generator apps. These apps can be used to create digital art, abstract art and even traditional art styles. They use very cool fractal algorithms. Check out the flames below for an example. Lens–AI Art Image Generator, Wonder–An app that creates art from your text, Fotor–AI Art Generator, DeepArt–AI Art Image Generator, StarryAI–Create art with AI, TikTok–Turn your photo into AI art, PicsArt–Text to image AI generator, WOMBO–AI based application that creates amazing pictures, Canva–Art Generator from AI text, FaceApp–AI Face Editor. The development of standards in the field of system communication, artificial intelligence and smart city, the impact of artificial intelligence, and drawing pictures of the development of human civilization by intelligent systems are the specific features of artificial intelligence.

Review of Artificial Intelligence: A Driver of Unemployment or Navigation towards a Prospective Future?

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Artificial intelligence has swiftly penetrated our lives that eased our way of life. With its massive utility in healthcare, education and other commercial sectors, AI has evolved as a boon to the world. Nevertheless, atomisation has resulted in large-scale job loss, retrenchment and unemployment, substituting human labour, resulting in controversies about the significance of advanced technological progressions. This study argues about the extent to which AI has led to unemployment changing the macroeconomics versus the new job opportunities opened by AI and other technological developments, augmenting productivity level and improving quality of service delivered.

Human Capital Readiness in Facing Industry 4.0 – Study Case Shared Services Finance in Energy Company, PT Perminyakan

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PT Perminyakan established a new organization named Shared Service Center (SSC) in 2018 as one of the embodiment of digital transformation of the company. SSC consist of four functions called multitower, they are Finance, IT, Human Capital and Asset Management. Shared Service Finance (SSF) provide services to stakeholders (customers, suppliers, and other function inside PT Perminyakan) in finance operation activities. In the daily job, SSF face many challenges, high volume and repetitive jobs are occurs every day. SSF helped by the management team that provide technologies industry 4.0 based to help and assist them in doing their daily activities. But the utilization of the tools is still low. Based on these problems, in this final project a research was conducted using a combination of quantitative and qualitative methods using questionnaire and equipped with semi-structured interviews to obtain data and information that will be included in the concept of Human Capital Readiness. Human Capital Readiness seen from four aspects: Knowledge, Hard Skill, Soft Skill, and Attitude. Furthermore, interviews were conducted to determine and give deeper information about the questionnaire result and gain insight about how company respond to the condition. SSF also has SIERA, it is an industry 4.0 based tool that develop by SSF itself. It uses Artificial Intelligence based technology. Writer also use the quantitative and qualitative method to find out the Human Capital Readiness of SSF in implementing SIERA. Furthermore, from Human Capital Readiness assessment that provide Human Development Index (HDI), a gap was used to determine some aspects that defined as ready, optimal, not ready. From the questionnaire and interviews that validate the questionnaire result, writer also give some recommendation of implementation plan to the company. The findings in this study are divided into two scopes. The first is about readiness to face the industrial 4.0, and the second is about the readiness in implementing SIERA. First scope give result that Knowledge and Soft Skill are not ready, but Hard Skill and Attitude are optimal. By this result, writer give recommendation to increase digital literation, upskilling and re-skilling, and culture development (digital leadership and digital mindset). Second scope give result that Hard Skill and Attitude are not ready, meanwhile Knowledge is optimal and Soft Skill is ready. Writer give three recommendations: upskilling, solve application issues and update, and aggressive branding for SIERA.