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; 潘昱杉; 潘毅

doi:10.11959/j.issn.2096-0271.2023033

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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

研究 | 更新时间：2024-06-03

- 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
- 大数据 2023年9卷第3期页码：85-96
- 作者机构：
  
  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
- 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。" ]
- 基金信息：
  
  深圳市科技计划资助项目;Shenzhen Science and Technology Program(KQTD20200820113106007);国家自然科学基金资助项目;The National Natural Science Foundation of China(U22A2041)
- DOI：10.11959/j.issn.2096-0271.2023033
  中图分类号： TP393
- 网络首发：2023-05，
  
  纸质出版：2023-05-15
- 稿件说明：
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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.
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. DOI： 10.11959/j.issn.2096-0271.2023033.

Hao WANG, Yushan PAN, Yi PAN. Generative AI empowered metaverse organisms: prospects and challenges[J]. Big data research, 2023, 9(3): 85-96. DOI： 10.11959/j.issn.2096-0271.2023033.

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。

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.

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references

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