Faculty Research - Ashoka University

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Translation Begins with Reading

There is a short story in Gujarati by Babu Suthar, published in the November 2014 issue of Mamata magazine, titled […]

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The Future of Psychological Practice in the AI Age

“AI cannot replicate core human qualities such as empathy rooted in lived experience, moral reasoning, and nuanced cultural understanding. These […]

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AI in Ashoka Classrooms

The Office of Academic Affairs (OAA) at Ashoka University organised a workshop titled ‘AI in Ashoka Classrooms’ on 29 January […]

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Joy is Not Made to Be Prompt

Within the academy, a phrase we come across often these days is “AI-generated”. To describe Large language models (LLMs), in […]

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Demystifying AI

Ask ChatGPT how to change guitar strings, and it answers flawlessly, providing a step-by-step tutorial it was never explicitly trained […]

What AI Still Cannot Do: The Limits that Will Matter Most in 2026

“AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning raises concerns. Trustworthy deployment demands […]

Blue background with text about large language models for commit messages by Professor Partha Pritam Das, alongside a portrait of a man in a suit.

Using Large Language Models for Generating Multi-Level Commit Messages

In software development processes today, hundreds or even thousands of changes are made to the code every day. Each change […]

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Ashoka at AI Impact Summit 2026

The India AI Impact Summit 2026, the world’s most consequential gathering on artificial intelligence, held at Bharat Mandapam, New Delhi, […]

How AI is Helping Us Understand Tumours Better

Professor Debayan Gupta’s recent publication presents a high-throughput neural multi-task learning framework for comprehensive quantification of cancer hallmarks. The paper […]

Text reading "When AI That Works in Delhi Fails in Sonipat" next to a smiling man in glasses and a suit.

When AI that Works in Delhi Fails in Sonipat

AI in healthcare and wellness is the coolest thing to work on right now, with thousands of investors and longevity […]

AI-ML predicts mitochondrial function from structure to identify cancer patients sensitive to drugs.

AI-ML Driven Biomarker Discovery from Confocal Microscopy Data to Enable Targeted Cancer Therapy

Cancer remains a major healthcare burden worldwide. Not all patients respond to the standard cancer chemotherapeutics. Therefore, cancer needs to […]

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Reimagining Healthcare in the Age of AI

Artificial intelligence is transforming the way we diagnose disease, design therapies, and understand human health. But as AI systems grow […]

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