Semantic Scholar Open Access 2024 16 sitasi

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

Xiang Yafei Yichao Wu Jintong Song Yulu Gong Penghao Lianga

Lihat Sumber DOI

Abstrak

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.

Penulis (5)

Xiang Yafei

Yichao Wu

Jintong Song

Yulu Gong

Penghao Lianga

Format Sitasi

APA MLA BibTeX

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

Akses Cepat

Lihat di Sumber doi.org/10.60087/jklst.vol.3n2.p20

Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Total Sitasi: 16×
Sumber Database: Semantic Scholar
DOI: 10.60087/jklst.vol.3n2.p20
Akses: Open Access ✓