Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI
Qi Wang, Yanghe Feng, Jincai Huang, Yiqin Lv, Zheng Xie, Xiaoshan Gao

TL;DR
This paper proposes large-scale generative simulation AI (LS-GenAI) as the next major focus in generative AI, aiming to address current challenges like limited resources and reliance on empirical discovery.
Contribution
It introduces LS-GenAI as a new paradigm to enhance generative AI by leveraging large-scale simulation techniques.
Findings
LS-GenAI connects existing AI fields through simulation.
Addresses practical challenges in current generative AI.
Proposes a new research hotspot for future development.
Abstract
The concept of GenAI has been developed for decades. Until recently, it has impressed us with substantial breakthroughs in natural language processing and computer vision, actively engaging in industrial scenarios. Noticing the practical challenges, e.g., limited learning resources, and overly dependencies on scientific discovery empiricism, we nominate large-scale generative simulation artificial intelligence (LS-GenAI) as the next hotspot for GenAI to connect.
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Taxonomy
TopicsScientific Computing and Data Management · Topic Modeling
