Article(id=1242141259784069314, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242141225407558554, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2024.01.00029, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1706630400000, receivedDateStr=2024-01-31, revisedDate=1716480000000, revisedDateStr=2024-05-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1720540800000, onlineDateStr=2024-07-10, pubDate=1719504000000, pubDateStr=2024-06-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1720540800000, onlineIssueDateStr=2024-07-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774079154199, creator=sys-migrate, updateTime=1774079154199, updator=sys-migrate, issue=Issue{id=1242141225407558554, tenantId=1146029695717560320, journalId=1146031591421210625, year='2024', volume='42', issue='12', pageStart='1', pageEnd='200', issueExtLink='null', onlineDate='null', pubDate='1719504000000', pubDateStr='2024-06-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=null, issueType=-1, specialIssue=null, createTime=1774079145994, creator='sys-migrate', updateTime=1774079145994, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=35, endPage=43, ext={EN=ArticleExt(id=1242141261809918160, articleId=1242141259784069314, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=The research status and development trends of generative artificial intelligence, columnId=1242141235033481325, journalTitle=Science & Technology Review, columnName=Exclusive：Foster New Quality Productive Forces to Strengthen High-Level Science and Technology Self-Reliance, runingTitle=null, highlight=null, articleAbstract=With the advent of ChatGPT, the research of generative artificial intelligence (GAI) has made a breakthrough in the field of multimodal information processing, such as text, image, and video, and has attracted broad attention. This paper aims to systematically review the research progress of GAI and to discuss its future development trend. Being divided into three parts, the paper first reviewed the development history and research status of GAI in terms of natural language models, image and multimodal models; secondly, it discussed the application prospects of GAI in different fields, mainly focusing on content communication, assisted design, content creation, personalized customization, and etc. In the third part, with an in-depth analysis of the main challenges facing GAI, the author summarized the development trends of GAI in the future., authors=CHE Lu¹, ZHANG Zhiqiang², ZHOU Jinjia³, LI Lei³, authorsList=CHE Lu, ZHANG Zhiqiang, ZHOU Jinjia, LI Lei, authorCompany=1. School of Environment and Resource, Southwest University of Science and Technology, Mianyang 621000, China;
2. School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang 621000, China;
3. Faculty of Science and Engineering, Hosie University, Tokyo 184-8584, Japan, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242141261356933324, articleId=1242141259784069314, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=生成式人工智能的研究现状和发展趋势, columnId=1242141234844737642, journalTitle=科技导报, columnName=专题：培育新质生产力 助力高水平科技自立自强, runingTitle=null, highlight=null, articleAbstract=随着ChatGPT的问世，生成式人工智能研究在文本、图像和视频等多模态信息处理领域取得了突破性的进展，引起了广泛的关注。梳理了生成式人工智能的研究进展，并探讨了其未来发展趋势。具体包含3个部分：一是从自然语言模型、图像与多模态模型回顾生成式人工智能的发展历程和研究现状；二是探讨生成式人工智能在不同领域的应用前景，主要聚焦内容交流、辅助设计、内容创作和个性化定制4个方面；三是分析了生成式人工智能面临的主要挑战及未来的发展趋势。, authors=车璐¹, 张志强², 周金佳³, 李磊³, authorsList=车璐, 张志强, 周金佳, 李磊, authorCompany=1. 西南科技大学环境与资源学院, 绵阳 621000;
2. 西南科技大学计算机科学与技术学院, 绵阳 621000;
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