Ganesh Bagler on Muck Rack

Ganesh Bagler

New Delhi
As seen in: Nature
Scientist and Professor @IIITDelhi Pioneering Computational Gastronomy, a blend of food, data science & artificial intelligence. Making food computable
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Articles

Creating an engine of scientific discovery, an Indo-Japan perspective: learnings from IJNTC 2025 workshop

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By Sucheendra K Palaniappan, Moreno Zolfo, Ajay K Sethi, Johan Nyström-Persson, Daniel Evans-Yamamoto, Jihun Choi, Anton Kratz, Ryota Yamada, Yosuke Ozawa, Natalia Polouliakh, Ashwini Patil, Tavpritesh Sethi, Ganesh Bagler, Jun Seita, Samik Ghosh, Hiroaki Kitano, Satish Kottapalli, Srinivas Padmanabhan, Ravindranath Kancherla
| Nature Verified
Abstract The Nobel Turing Challenge (NTC) proposes AI systems capable of autonomous, Nobel-level scientific discovery. The IJNTC2025 workshop convened researchers from India and Japan to advance this goal in health and biomedicine. This perspective synthesizes four themes: knowledge extraction, laboratory automation, hypothesis generation, and equitable healthcare applications.
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[2508.14718] The Digital Sous Chef -- A Comparative Study on Fine-Tuning Language Models for Recipe Generation

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By Ganesh Bagler
| arxiv.org
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Can AI give you the recipe for a perfect dish?

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By Ganesh Bagler
| Nature Verified
Creating a new recipe is a sensory experience for a chef. Far from being just an outcome of a procedural kitchen protocol, delicious dishes are profound culinary statements. Starting from a vast number of ingredients and infinite ways of combining and processing them to arriving at a lovely meal is a process of gastronomic discovery. This act of creation requires a combination of genius, expertise, and intuition.
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