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Mr.Shavinder Singh,
Dr.Daljit Kaur Gill,
- Research Scholar, Department of Arts(History), Guru Kashi University, Punjab, India
- Assistant Professor, Department of Arts(History), Guru Kashi University, Punjab, India
Abstract
The Indus Valley Civilization (3300–1300 BCE) was among the first in the world to develop advanced metallurgy. They created bronze tools, copper vessels, and intricate metal ornaments. A testament to ancient Indian metallurgy, this rust-resistant iron pillar, built during the Gupta Empire, still stands without significant corrosion, demonstrating an advanced understanding of material science. The study examines key texts and technologies, including Panini’s Ashtadhyayi (a formal system of grammar resembling rule-based computation), the logic systems of Nyaya and Mimamsa schools, as well as ancient mathematical and algorithmic developments such as the works of Pingala, Aryabhata, and Bhaskara. By analyzing these contributions through a modern computational lens, the paper highlights parallels between traditional Indian knowledge systems and contemporary AI concepts like rule-based reasoning, symbolic logic, and machine learning. The research also investigates how these indigenous frameworks can inspire ethical and context-sensitive approaches to AI development. Through a multidisciplinary approach that bridges history, linguistics, logic, and computer science, this study repositions Indian historical technology as a valuable precursor to modern AI thought and underscores the global nature of technological evolution.
Keywords: Artificial Intelligence, Indus Valley Civilization, Gupta Empire, traditional Indian knowledge systems, technological evolution
Mr.Shavinder Singh, Dr.Daljit Kaur Gill. Contribution Of Indian Historical Technology To Development The AI. OmniScience: A Multi-disciplinary Journal. 2025; 15(03):-.
Mr.Shavinder Singh, Dr.Daljit Kaur Gill. Contribution Of Indian Historical Technology To Development The AI. OmniScience: A Multi-disciplinary Journal. 2025; 15(03):-. Available from: https://journals.stmjournals.com/osmj/article=2025/view=234888
References
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OmniScience: A Multi-disciplinary Journal
| Volume | 15 |
| 03 | |
| Received | 06/09/2025 |
| Accepted | 21/10/2025 |
| Published | 27/12/2025 |
| Publication Time | 112 Days |
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