深度学习在元宇宙应用浅析  

Brief Analysis of Deep Learning for Metaverse Applications

作　　者：王凌云 WANG Ling-yun(School of Big Data Engineering,Kaili University,Kaili 556011,China)

机构地区：[1]凯里学院大数据工程学院,贵州凯里556011

出　　处：《山东工业技术》2024年第2期26-29,共4页Journal of Shandong Industrial Technology

基　　金：黔东南州科技计划项目(No.黔东南科合J字[2021]43号);贵州省教育厅自然科学研究资助项目(No.黔教合KY字[2020]178)。

摘　　要：元宇宙是近年来备受瞩目的概念,它代表了一个高度互联、虚拟与现实融合的数字世界。深度学习作为人工智能领域的重要分支,为元宇宙的发展提供了强大的技术支持和广阔的应用前景。本文从应用场景、技术挑战和未来发展趋势三个方面探讨深度学习技术如何增强元宇宙的现实。最后,本文展望了深度学习在元宇宙未来的发展趋势,以期为未来元宇宙的发展提供参考。The concept of the Meta-universe has garnered significant attention in recent years,signifying a heavily interconnected digital world where the virtual and real fuse.Deep learning,a crucial artificial intelligence branch,provides robust technical backing and vast prospects for Meta-universe development.It addresses three key areas:application scenarios,technical challenges,and future development trends.This paper examines the potential of deep learning technology to improve the reality of the meta-universe.The paper concludes by discussing the future of deep learning in the meta-universe and its implications for future development,providing a valuable reference for those involved in thisfield.

关 键 词：地铁车辆 RS232转CAN 网关 ARM芯片 

分 类 号：U284.71[交通运输工程—交通信息工程及控制]