Written by : Jayati Dubey
May 6, 2025
Source: X (Twitter)
Singh highlighted the need to build an indigenous "India AI Open Stack"—a foundational AI architecture embedded with models suited for Indian scientific challenges.
Union Minister of State (Independent Charge) for Science and Technology, Dr. Jitendra Singh, chaired a comprehensive review of the Department of Science and Technology (DST) on Monday.
He urged the newly established Anusandhan National Research Foundation (ANRF) to take a proactive role in transforming India's scientific and clinical innovation landscape.
During the review, the Minister called upon ANRF to support the establishment of medical research parks in medical colleges across the country.
Such infrastructure, he said, could boost clinical innovation, encourage biotech entrepreneurship, and help bridge the gap between academic research and healthcare technology development.
Dr. Singh also reviewed ANRF's ambitious plan to create a "cloud of research and innovation infrastructure"—a national digital platform designed to provide startups and academic institutions with access to underutilised scientific equipment and laboratory resources across India.
This initiative is expected to democratise high-end research, especially for smaller institutions and early-stage ventures that lack access to costly research tools.
Emphasising artificial intelligence's transformative potential in science, the Minister pushed forward the ANRF's "AI-for-Science" programme, which seeks to use machine learning models to solve complex scientific problems in physics, chemistry, and biology.
He highlighted the need to build an indigenous "India AI Open Stack"—a foundational AI architecture embedded with models suited for Indian scientific challenges.
Dr. Singh also revisited the idea of "deep science-to-deep tech acceleration", urging the conversion of academic outputs such as patents and publications into commercial technologies.
He called for collaborations with top-tier industry partners and for adopting venture-builder models to support translating discoveries into market-ready innovations.
The Minister stressed the need to prioritise critical areas such as climate forecasting, aerospace, material science, drug development, and biochemistry, and called for a shift from fragmented innovation efforts to an integrated, impact-driven research ecosystem that tightly links academia, startups, and industry.
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