Understanding the Bhagavad Gita with AI

Two researchers conducted an experiment to determine the meanings of many versions of the revered Hindu text known as the Bhagavad Gita, and they discovered a shared meaning among them. The composition has been translated into several languages, although their meanings differ and could be interpreted in various ways. Artificial intelligence (AI) is used in the experiment to extract the meanings from the translations and compare and contrast their differences.

The method used in the experiment was employing a Google-developed artificial intelligence system to analyze sentiment and semantics (feeling and meaning) from a collection of translations of the Bhagavad Gita. Despite substantial differences in vocabulary and sentence structure, Dr. Rohitash Chandra remarked on the comparison that "we discovered that the patterns of emotion and meaning were basically comparable in all three."

The Bhagavad Gita, often known as the Gita, literally translates as "The Song by God." A dialogue between the Hindu god Lord Krishna and prince Arjuna is depicted in the poem. It is a 700-verse section of the Sanskrit epic Mahabharata that describes a conflict between the Kaurava and Pandava factions of a family during the Kurukshetra War. The Gita is the cornerstone of the karma school of thought and an introductory text in Hinduism's scripture, which is practiced by over 1 billion people worldwide. A project like the one carried out by Dr. Chandra is hugely significant because of the possibility of incorrectly interpreting the Bible.

Dr. Chandra of UNSW Sydney and Venkatesh Kulkarni of IIT Guwahati were in charge of the research. Dr. Chandra is a senior lecturer in data science and the director of a research initiative that uses artificial intelligence to address issues like climate extremes. He merged this with his interest in religious philosophy when he started investigating Gita's interpretation. 

As an engineer who provided implementation and experimentation as well as other contributions in the areas of results visualization and analysis, Venkatesh made an equal contribution to the project.

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