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人工智能与工业的深度耦合技术路径:从云端认知到具身重构

朱云轩 黎菁 彭拓宇

工业技术经济2025,Vol.44Issue(6):90-98,9.
工业技术经济2025,Vol.44Issue(6):90-98,9.DOI:10.3969/j.issn.1004-910X.2025.06.009

人工智能与工业的深度耦合技术路径:从云端认知到具身重构

The Deeply Coupled Technological Pathway of Artificial Intelligence and Industry:From Cloud-based Cognition to Embodied Reconfiguration

朱云轩 1黎菁 1彭拓宇2

作者信息

  • 1. 清华大学五道口金融学院,北京 100083
  • 2. 上海产研技术研究院有限公司,上海 200233
  • 折叠

摘要

Abstract

Industrial transformation is a natural part of the new round of industrial revolution,and the arrival of the artificial intelligence era has transformed the industrial productivity innovation in the sense of"Internet of Things"into a new industrial revo-lution of"data+algorithm+sensor+behavior tokenization+control system".Artificial intelligence has transformed industry from the meaning of the Internet of Things to the embodied AI meaning of"AlphGo+OpenAI",putting the era of intelligent industry on the eve of Grokking.On the one hand,AI deeply accelerates industrial transformation,and on the other hand,it directly reconstructs into an intelligent industrial system,thereby directly achieving the original goal of industrial transformation.However,at present,the shortcomings of energy and the old industrial production system urgently need to be addressed through industrial transformation,otherwise the era of intelligence will be difficult to truly achieve.At the same time,there are a large number of technical and hard-ware difficulties that slow down the marketization of intelligent industry.Without considering costs,it is possible to first achieve"laboratory intelligent industry"and then gradually realize it in real industrial application scenarios over the long term.

关键词

人工智能/具身人工智能/工业转型/智能工业/技术图景/技术路径/AI演化/工业应用

Key words

artificial intelligence/embodied artificial intelligence/industrial transformation/intelligent industry/techni-cal landscape/technological path/AI evolution/industrial applications

分类

管理科学

引用本文复制引用

朱云轩,黎菁,彭拓宇..人工智能与工业的深度耦合技术路径:从云端认知到具身重构[J].工业技术经济,2025,44(6):90-98,9.

基金项目

国家自然科学基金青年项目"企业社会责任在供应链上的溢出效应研究"(项目编号:72202116). (项目编号:72202116)

工业技术经济

OA北大核心

1004-910X

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