Discuss how artificial intelligence is being used to unlock India's historical scientific archives. Illustrate with reference to the Kodaikanal Solar Observatory study (2026).

Q. Discuss how artificial intelligence is being used to unlock India's historical scientific archives. Illustrate with reference to the Kodaikanal Solar Observatory study (2026). (15 marks, 250-350 words)

India holds vast pre-digital scientific records — hand-drawn charts, logbooks and photographic plates — that were long unusable at scale because manual extraction was slow and inconsistent. Artificial intelligence, particularly deep-learning image segmentation, is now converting this dormant heritage into machine-readable datasets, best illustrated by the 2026 Kodaikanal Solar Observatory (KoSO) study [1].

AI as an enabler of archival science - Digitisation first, intelligence next: KoSO, a field station of the Indian Institute of Astrophysics under the Department of Science & Technology, has digitised over 1.2 lakh solar images, creating the base repository AI could act upon [2][3]. - Cross-domain model transfer: the study applied the U-Net architecture — originally built for biomedical image segmentation — in two steps, detecting the solar disk and then identifying plages (bright magnetically active patches) from suncharts spanning 1904–2022 [1]. - Consistency across heterogeneous records: AI standardised uneven, observer-dependent drawings into a uniform series covering nine solar cycles (15–23), 1916–2007, a task traditional methods struggle with [1].

Scientific and strategic value unlocked - Validated output: AI-derived plage areas matched KoSO's Ca II K full-disk observations, confirming reliability and allowing gaps in long-term solar records to be filled [1]. - Space-weather preparedness: century-scale activity data strengthens prediction of flares and geomagnetic storms that disrupt satellites, navigation and power grids [2]. - Global standing: the study, led by ARIES with IIA, IIST and Southwest Research Institute, gives India a rare 100-year dataset of value to world heliophysics [1].

Wider replicability - The same template suits meteorological, oceanographic, census and survey archives, converting colonial-era records into evidence for climate attribution and policy [3].

The KoSO study shows that AI's real contribution lies not merely in new observation but in revaluing what India already possesses. A national programme to digitise and machine-annotate institutional archives, backed by sustained DST funding and open data access, would multiply returns on a century of patient observation — advancing the constitutional duty under Article 51A(h) to develop scientific temper.

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Sources: 1. AI studies 100 years of Sun images to track bright solar regions from the Kodaikanal Solar Observatory — PIB, Ministry of Science & Technology (1 July 2026) — U-Net two-step method, plages, cycles 15–23 (1916–2007), suncharts 1904–2022, Ca II K validation, collaborating institutions 2. Kodaikanal Solar Observatory data helps tracing solar magnetic activity influencing satellite communication — DST, Government of India — space-weather and satellite communication relevance; DST institutional linkage 3. Celebrating 125 years of studying the Sun — Kodaikanal Solar Observatory, DST, Government of India — 1.2 lakh digitised images, longest continuous daily solar record, archival heritage