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

Author

Palaniappan, Sucheendra K and Zolfo, Moreno and Kottapalli, Satish and Sethi, Ajay and Nystrom-Persson, Johan and Evans-Yamamoto, Daniel and Choi, Jihun and Kratz, Anton and Padmanabhan, Srinivas and Yamada, Ryota and Ozawa, Yosuke and Polouliakh, Natalia and Patil, Ashwini and Kala, Manas and Sethi, Tavpritesh and Bagler, Ganesh and Seita, Jun and Ghosh, Samik and Kancherla, Ravindranath and Kitano, Hiroaki

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. It identifies how Japan's robotics and precision AI expertise and India's large-scale data infrastructure and frugal innovation offer complementary strengths for collaborative progress toward the NTC.