https://www.taxtmi.com/news?id=64547 India ranks third globally in ML-enabled scientific research (Nature-family articles, Jan-Sep 2025), driven by widespread use of established ML frameworks across domains such as medical imaging, genomics, climate modelling, agriculture and materials science. Growth is supported by interdisciplinary clusters, increased investment, contributions from diverse universities and startups, and extensive domestic and international collaborations. The research emphasis favors classical and ensemble ML techniques (Random Forest, SVMs, GBM-family, XGBoost, LightGBM, CatBoost), applied to scalable, practical scientific problems, identified through a unified Python pipeline extracting affiliation, ML tools, field, and ML-enabled contributions. en-us Fri, 12 Dec 2025 18:01:03 +0530 Fri, 12 Dec 2025 18:01:03 +0530 TaxTMI RSS Generator https://www.taxtmi.com/news?id=64547 India ranks third globally in ML-enabled scientific research (Nature-family articles, Jan-Sep 2025), driven by widespread use of established ML frameworks across domains such as medical imaging, genomics, climate modelling, agriculture and materials science. Growth is supported by interdisciplinary clusters, increased investment, contributions from diverse universities and startups, and extensive domestic and international collaborations. The research emphasis favors classical and ensemble ML techniques (Random Forest, SVMs, GBM-family, XGBoost, LightGBM, CatBoost), applied to scalable, practical scientific problems, identified through a unified Python pipeline extracting affiliation, ML tools, field, and ML-enabled contributions. News - Fri, 12 Dec 2025 18:01:03 +0530 https://www.taxtmi.com/news?id=64547