A Case Study for Arts Based Convergence Education Using Artificial Intelligence Technology

2021 ◽  
Vol 79 (4) ◽  
pp. 263-280
Author(s):  
Seo Jin Kim
Keyword(s):  
Artificial Intelligence ◽  
Artificial Intelligence Technology

Artificial Intelligence

2020 ◽  
pp. 48-69
Author(s):  
Daeyeol Lee
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
Building Blocks ◽  
Human Intelligence ◽  
Intelligent Robots ◽  
Artificial Intelligence Technology ◽  
Functional Units ◽  
Human Brains ◽  
Digital Computers

Compared to the human brain, current artificial intelligence technology is limited in that its goals are determined by human developers and users. Similarly, despite their superficial similarities, modern-day computers and human brains have many differences. Building blocks of human brain that are functionally equivalent to transistors, functional units of digital computers, have not been identified, and we do not know whether hardware and software are separable in the human brain. This chapter uses Mars rovers as a case study to illustrate the autonomy of intelligent robots, because machines dependent on human intelligence is not genuinely intelligent.

scholarly journals THE USE OF AI (ARTIFICIAL INTELLIGENCE) IN ENGLISH LEARNING AMONG UNIVERSITY STUDENT: CASE STUDY IN ENGLISH DEPARTMENT, UNIVERSITAS AIRLANGGA

2021 ◽  
Author(s):  
Hemas Kumala Dewi ◽  
Raselly Elfa Putri ◽  
Nur Annisa Rahim ◽  
Tia Ivanka Wardani ◽  
Moses Glorino Rumambo Pandin
Keyword(s):  
Artificial Intelligence ◽  
Student Performance ◽  
English Learning ◽  
Literature Study ◽  
Learning And Teaching ◽  
Study Results ◽  
Artificial Intelligence Technology ◽  
Depth Interviews

Aim: This research aim is to analyze an artificial intelligence platform that can be used in imparting education as well as evaluating student performance. Method: This research was conducted with a qualitative method by conducting in-depth interviews and a literature study. Results: The findings of this study shows that Artificial Intelligence technology can be used as a means of developing English learning for students. Discussion: There have been several studies that support research results, that AI can be used to improve students' English skills through applications, websites, Virtual Reality technology, and other AI-based learning and teaching systems. Limitation: The limitation of this research is that it does not examine how far the role of AI in students' English learning is. Suggestion: For further research, it is expected to test how far the role of AI is to improve students' English skills, especially Universitas Airlangga students.

scholarly journals Research on Application of Artificial Intelligence in VR Games

2020 ◽  
Author(s):  
Wang Xi
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Literature Analysis ◽  
Case Study Method ◽  
Game Player ◽  
Artificial Intelligence Technology ◽  
Game Industry ◽  
Research On Application ◽  
Player Experiences

Purposed to promote the development of artificial intelligence (AI) technology in the game field, this article adopts the literature analysis method and the case study method, analyzes the problems with virtual reality (VR) games and explores several popular VR game cases in China and abroad before summarizing the artistic characteristics of VR games. Artificial intelligence technology has brought a new creative mode to the game industry, while providing more suitable game content for players. Further, artificial intelligence technology can equip VR games with better game experience by analyzing players’ physiological and psychological information as well as players’ game strategies. Compared with traditional games, VR games can deliver better interactivity, deeper immersion and higher fidelity. However, VR games impose higher requirements on device data and space scale; in other words, they must meet specific requirements to provide better game experience. VR games also have monotonous game types and high prices. In the future, the integration of VR games with artificial intelligence would generate more profound game-player experiences and richer game contents.

scholarly journals THE USE OF AI (ARTIFICIAL INTELLIGENCE) IN ENGLISH LEARNING AMONG UNIVERSITY STUDENT: CASE STUDY IN ENGLISH DEPARTMENT, UNIVERSITAS AIRLANGGA

2021 ◽  
Author(s):  
Hemas Kumala Dewi ◽  
Tia Ivanka Wardani ◽  
Nur Annisa Rahim ◽  
Raselly Elfa Putri ◽  
Moses Glorino Rumambo Pandin
Keyword(s):  
Artificial Intelligence ◽  
Student Performance ◽  
English Learning ◽  
Literature Study ◽  
Learning And Teaching ◽  
Study Results ◽  
Artificial Intelligence Technology ◽  
Depth Interviews

Aim: This research aim is to analyze an artificial intelligence platform that can be used in imparting education as well as evaluating student performance. Method: This research was conducted with a qualitative method by conducting in-depth interviews and a literature study. Results: The findings of this study shows that Artificial Intelligence technology can be used as a means of developing English learning for students. Discussion: There have been several studies that support research results, that AI can be used to improve students' English skills through applications, websites, Virtual Reality technology, and other AI-based learning and teaching systems. Limitation: The limitation of this research is that it does not examine how far the role of AI in students' English learning is. Suggestion: For further research, it is expected to test how far the role of AI is to improve student's English skills, especially Universitas Airlangga students.

scholarly journals A Study of Automatic Judgment of Food Color and Cooking Conditions with Artificial Intelligence Technology

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1128
Author(s):  
Chern-Sheng Lin ◽  
Yu-Ching Pan ◽  
Yu-Xin Kuo ◽  
Ching-Kun Chen ◽  
Chuen-Lin Tien
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Color Space ◽  
Color Difference ◽  
Color Space Conversion ◽  
Before And After ◽  
Artificial Intelligence Technology ◽  
Artificial Intelligence Algorithm ◽  
Time Image ◽  
Cooking Conditions

In this study, the machine vision and artificial intelligence algorithms were used to rapidly check the degree of cooking of foods and avoid the over-cooking of foods. Using a smart induction cooker for heating, the image processing program automatically recognizes the color of the food before and after cooking. The new cooking parameters were used to identify the cooking conditions of the food when it is undercooked, cooked, and overcooked. In the research, the camera was used in combination with the software for development, and the real-time image processing technology was used to obtain the information of the color of the food, and through calculation parameters, the cooking status of the food was monitored. In the second year, using the color space conversion, a novel algorithm, and artificial intelligence, the foreground segmentation was used to separate the vegetables from the background, and the cooking ripeness, cooking unevenness, oil glossiness, and sauce absorption were calculated. The image color difference and the distribution were used to judge the cooking conditions of the food, so that the cooking system can identify whether or not to adopt partial tumbling, or to end a cooking operation. A novel artificial intelligence algorithm is used in the relative field, and the error rate can be reduced to 3%. This work will significantly help researchers working in the advanced cooking devices.

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