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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Connecting the Vedic Era and AI: A Journey from Ancient Cognition to Modern Technology

Authors: Ms. Archana Ghiware;

Connecting the Vedic Era and AI: A Journey from Ancient Cognition to Modern Technology

Abstract

The convergence of Artificial Intelligence (AI) and ancient philosophical wisdom is an emerging field that offers intriguing insights into both technological and spiritual dimensions of human understanding. This research explores the potential links between contemporary AI developments and the profound teachings of the Vedic Era, an ancient period rich with concepts of consciousness, knowledge, and cognition. The Vedic texts, such as the Upanishads and the Bhagavad Gita, introduce metaphysical ideas that resonate with current AI concepts, such as neural networks, machine learning, and the nature of intelligence. By analyzing both modern AI theories and Vedic principles, this study seeks to highlight parallels in the way both systems approach learning, self-awareness, and information processing. Furthermore, the paper investigates the ethical considerations embedded in Vedic philosophy that may offer valuable guidance for the responsible development and application of AI technologies in contemporary society. This research aims to bridge the gap between ancient wisdom and modern science, proposing a harmonious integration of AI with spiritual and ethical teachings derived from the Vedic tradition.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green