Eunkyung Koh;Hyeon-Deuk Kim;Seungin Baek;Changhee Lee
{"title":"Artificial Intelligence (AI) Fundamentals for the Display Industry: A Review (August 2024)","authors":"Eunkyung Koh;Hyeon-Deuk Kim;Seungin Baek;Changhee Lee","doi":"10.1109/OJID.2024.3470711","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) has been implemented into the display industry in recent years. This paper introduces AI theories applied to the display industry, covering concepts of AI, machine learning, and deep learning. It reviews optimization techniques for developing machine learning models and explains various deep learning architectures and learning paradigms applicable to the display industry. Additionally, it introduces explainable AI techniques for model analysis. Practical application cases will be reviewed in a separate paper.","PeriodicalId":100634,"journal":{"name":"IEEE Open Journal on Immersive Displays","volume":"1 ","pages":"204-213"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10700054","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal on Immersive Displays","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10700054/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) has been implemented into the display industry in recent years. This paper introduces AI theories applied to the display industry, covering concepts of AI, machine learning, and deep learning. It reviews optimization techniques for developing machine learning models and explains various deep learning architectures and learning paradigms applicable to the display industry. Additionally, it introduces explainable AI techniques for model analysis. Practical application cases will be reviewed in a separate paper.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
