Generative AI in Industrial Revolution: A Comprehensive Research on Transformations, Challenges, and Future Directions

Authors

  • Yafei Xiang Northeastern Univeristy, Boston, MA 02115, USA Author
  • Yichao Wu Northeastern Univeristy, Boston, MA 02115, USA Author
  • Jintong Song Boston University, Boston, MA 02215, USA Author
  • Yulu Gong Northern Arizona University, Flagstaff, AZ 86011, USA Author
  • Penghao Liang Northeastern Univeristy, Boston, MA 02115, USA Author

DOI:

https://doi.org/10.60087/jklst.vol.3n2.p20

Keywords:

Generative Artificial Intelligence, Industrial Transformation, Automation and Predictive Analytics, Sustainable Development

Abstract

The advent of generative artificial intelligence (AI) technologies heralds a new era in industrial innovation, offering unprecedented capabilities for content creation, predictive analytics, and automation. This paper delves into the transformative potential of generative AI across key industrial sectors, emphasizing its role in catalyzing technological advancements, enhancing operational efficiencies, and fostering sustainable practices. By exploring the technical characteristics, developmental trajectory, and application scenarios of generative AI, alongside a critical examination of its limitations and ethical considerations, this study aims to provide a comprehensive understanding of how generative AI is reshaping the landscape of automotive, manufacturing, and energy industries.

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Published

2024-06-25

How to Cite

Yafei , X., Wu, Y. ., Song, J. ., Gong, Y., & Lianga, P. . (2024). Generative AI in Industrial Revolution: A Comprehensive Research on Transformations, Challenges, and Future Directions. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 3(2), 11-20. https://doi.org/10.60087/jklst.vol.3n2.p20

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