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

Abstract

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

CLC Number:

TP393

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

Figures/Tables 6

References 19

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