生成式人工智能大模型赋能的元宇宙生命体：前瞻和挑战

doi:10.11959/j.issn.2096-0271.2023033

大数据 ›› 2023, Vol. 9 ›› Issue (3): 85-96.doi: 10.11959/j.issn.2096-0271.2023033

生成式人工智能大模型赋能的元宇宙生命体：前瞻和挑战

王皓¹, 潘昱杉², 潘毅³

¹ 西安电子科技大学网络与信息安全学院，陕西西安 710126
² 西交利物浦大学智能工程学院，江苏苏州 215123
³ 中国科学院深圳先进技术研究院，广东深圳 518055

出版日期:2023-05-15 发布日期:2023-05-01
作者简介:王皓（1978- ），男，博士，西安电子科技大学网络与信息安全学院华山学者、领军教授、博士生导师，主要研究方向为关键系统中的人工智能、大数据和（工业）物联网技术。
潘昱杉（1986- ），男，博士，西交利物浦大学智能工程学院助理教授、博士生导师，主要研究方向为人机交互、参与式设计、计算机支持的辅助工作和经验软件工程。
潘毅（1960- ），男，博士，中国科学院深圳先进技术研究院讲席教授，美国佐治亚州立大学州校董荣休教授，乌克兰国家工程院外籍院士，美国医学与生物工程院院士，英国皇家公共卫生学院院士，英国工程技术学会会士，日本学术振兴会会士，长江学者和国家特聘专家。主要研究方向为基于云计算、大数据分析、人工智能、深度学习等的生物信息和医疗信息的研究。
基金资助:
深圳市科技计划资助项目(KQTD20200820113106007);国家自然科学基金资助项目(U22A2041)

Generative AI empowered metaverse organisms: prospects and challenges

Hao WANG¹, Yushan PAN², Yi PAN³

¹ School of Cyber Engineering, Xidian University, Xi’an 710126, China
² School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
³ Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

Online:2023-05-15 Published:2023-05-01
Supported by:
Shenzhen Science and Technology Program(KQTD20200820113106007);The National Natural Science Foundation of China(U22A2041)

摘要/Abstract

摘要：

元宇宙已在医药、制造、金融产业、教育和公共服务等领域有所讨论，但基于虚拟现实的应用场景并未真正实现“现实-虚拟-现实”回路交互方式。其交互模式也没有真正意义上赋予虚拟世界等同现实世界的意识和感知。以医药为例，探讨了生成式人工智能大模型在元宇宙生命体中的前瞻应用和挑战，包括数字化生物细胞，构建数字化细胞之间的连接和数字神经元等，以促进元宇宙生命体具有与物理世界一致的感知和生物化学反应，从而赋能医药领域的发展。针对目前元宇宙和生成式人工智能大模型各自的优缺点，进一步讨论通过巧妙设计人机协同机制，促进人与元宇宙生命体在医药中的有意识交互。

关键词: 元宇宙生命体, 生成式人工智能, 人-元宇宙交互

Abstract:

The metaverse has been discussed in fields such as medicine, manufacturing, finance, education, and public services, but the application scenarios based on virtual reality have not truly achieved the ＆quot;real-virtual-real＆quot; loop interaction method.Its interaction mode has also not truly given the digital world the same consciousness and perception as the physical world.Taking medicine as a case study, the prospective applications and challenges of generative artificial intelligence models in metaverse organisms were explored, including digitizing biological cells, and building connections between digitized cells and digital neurons, in order to promote metaverse life forms to have perception and biochemical reactions consistent with the physical world, thereby empowering the development of the medical field.In response to the current advantages and disadvantages of the metaverse and generative artificial intelligence models, the clever design of human-machine collaboration mechanisms was discussed to promote conscious interaction between humans and metaverse organisms in medicine.

Key words: metaverse organisms, generative AI, human-metaverse interaction

中图分类号:

TP393

王皓, 潘昱杉, 潘毅. 生成式人工智能大模型赋能的元宇宙生命体：前瞻和挑战[J]. 大数据, 2023, 9(3): 85-96.

Hao WANG, Yushan PAN, Yi PAN. Generative AI empowered metaverse organisms: prospects and challenges[J]. Big Data Research, 2023, 9(3): 85-96.

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生成式人工智能大模型赋能的元宇宙生命体：前瞻和挑战

Generative AI empowered metaverse organisms: prospects and challenges

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