International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Innovative Article | Arts and Humanities | Volume 15 Issue 6, June 2026 | Pages: 62 - 64 | India


Artificial Intelligence and Neural Networks in T Padmanabhan's Short Story, Makkan Singh's Death

Dr. M A Siddeek, Rehna Mol R

Abstract: This article offers a fresh reading of T. Padmanabhan's short story Makkan Singh's Death by examining its narrative structure through concepts associated with artificial intelligence, machine learning, and autonomous systems. Set against the emotional backdrop of the Partition of India, the story follows a bus driver burdened by loss, displacement, and memories of violence. The discussion argues that the relationship between Makkan Singh and the bus gradually develops into a symbolic model of data exchange, learning, and independent machine response. Particular attention is given to the bus as a narrative presence that appears to acquire decision-making capacity, culminating in its ability to continue functioning when human control weakens. By connecting literary imagination from the 1950s with contemporary debates on artificial intelligence, the article explores how the story anticipates questions about machine consciousness, autonomy, and the shifting boundary between human and technological agency. The analysis also situates the text within the realities of Partition, showing how personal trauma, historical memory, and technological imagination converge to create a distinctive vision of modernity in Malayalam fiction.

Keywords: Artificial Intelligence, Partition Memory, Machine Consciousness, Malayalam Short Story

How to Cite?: Dr. M A Siddeek, Rehna Mol R, "Artificial Intelligence and Neural Networks in T Padmanabhan's Short Story, Makkan Singh's Death", Volume 15 Issue 6, June 2026, International Journal of Science and Research (IJSR), Pages: 62-64, https://www.ijsr.net/getabstract.php?paperid=SR26529164125, DOI: https://dx.dx.doi.org/10.21275/SR26529164125

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