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data science

2,570 papers

#data science Open access Sep 2026

Climate Crisis in Amitav Ghosh's Writings: With Special Reference to 'The Great Derangement' and 'Gun Island'

Abstract Climate change is one of the biggest problems facing the world in the twenty-first century. Rising temperatures, irregular rainfall, rising sea levels, floods, storms, droughts, and other natural disasters are changing both nature and human life. Science explains these changes through facts, data, and reports,...

Sagar Ramu Sawant · 0 citations
#data science Open access Sep 2026

Factors Associated With Formula Use Among Infants Aged 0–6 Months

ABSTRACT Introduction: This study aimed to determine the prevalence of infant formula use, the reasons for its use, and the factors associated with formula feeding among infants aged 0–6 months. Methods: This descriptive, cross-sectional study included 274 mothers with infants aged 0–6 months who were registered at sel...

Selma Kahraman, Müjde ARSLAN, Pınar Acar · 0 citations
#data science Open access Sep 2026

Artificial Intelligence And future of Library and Information Services: A conceptual Perspective

Abstract In the era of Artificial Intelligence (AI), the field of Library and Information Science is evolving rapidly with the introduction of new paradigms in information management, information discovery, and service delivery. This is a conceptual paper that analyses the role of AI and its future implications on the...

Shilpa Sanjay Mahajan, Daya Patil, K. Sanjay Deoram Mahajan · 0 citations
#data science Open access Sep 2026

Artificial Intelligence And future of Library and Information Services: A conceptual Perspective

Abstract In the era of Artificial Intelligence (AI), the field of Library and Information Science is evolving rapidly with the introduction of new paradigms in information management, information discovery, and service delivery. This is a conceptual paper that analyses the role of AI and its future implications on the...

Shilpa Sanjay Mahajan, Daya Patil, K. Sanjay Deoram Mahajan · 0 citations
#data science Open access Sep 2026

Climate Crisis in Amitav Ghosh's Writings: With Special Reference to 'The Great Derangement' and 'Gun Island'

Abstract Climate change is one of the biggest problems facing the world in the twenty-first century. Rising temperatures, irregular rainfall, rising sea levels, floods, storms, droughts, and other natural disasters are changing both nature and human life. Science explains these changes through facts, data, and reports,...

Sagar Ramu Sawant · 0 citations
#data science Open access Sep 2026

The Integration, Utility, and Ethical Challenges of Artificial Intelligence Tools in Academic Libraries

Abstract Artificial intelligence has progressed from experimental trial to core operational infrastructure across contemporary academic libraries. Drawing upon peer-reviewed Library and Information Science (LIS) literature, ACRL and IFLA publications, and practitioner surveys from 2020 through 2025, this review examine...

Mangesh D. Tajane · 0 citations
#data science Open access Sep 2026

The Integration, Utility, and Ethical Challenges of Artificial Intelligence Tools in Academic Libraries

Abstract Artificial intelligence has progressed from experimental trial to core operational infrastructure across contemporary academic libraries. Drawing upon peer-reviewed Library and Information Science (LIS) literature, ACRL and IFLA publications, and practitioner surveys from 2020 through 2025, this review examine...

Mangesh D. Tajane · 0 citations
#data science Open access Sep 2026

Artificial Intelligence for Sustainable & Environmentally Benign Chemical Science

Abstract Green chemistry seeks to prevent pollution at its source by reducing waste, energy demand, hazardous substances, and resource consumption. Artificial intelligence (AI), especially machine learning (ML), can strengthen this approach by learning from chemical and process data, predicting outcomes, screening larg...

Sangramsinh Shahajirao Bhosale · 0 citations
#data science Open access Sep 2026

Artificial Intelligence for Sustainable & Environmentally Benign Chemical Science

Abstract Green chemistry seeks to prevent pollution at its source by reducing waste, energy demand, hazardous substances, and resource consumption. Artificial intelligence (AI), especially machine learning (ML), can strengthen this approach by learning from chemical and process data, predicting outcomes, screening larg...

Sangramsinh Shahajirao Bhosale · 0 citations
#data science Open access Sep 2026

The Confluence of AI and Eco-Innovation: Shaping the Future of Multidisciplinary Research

Abstract Artificial Intelligence (AI) and eco-innovation are increasingly converging to redefine how societies address environmental degradation, resource scarcity, and climate risk. This paper examines the intersection of these two domains as an emerging site of multidisciplinary inquiry, one that draws simultaneously...

Saleha Javed Abbas Syed · 0 citations
#data science Open access Sep 2026

The Confluence of AI and Eco-Innovation: Shaping the Future of Multidisciplinary Research

Abstract Artificial Intelligence (AI) and eco-innovation are increasingly converging to redefine how societies address environmental degradation, resource scarcity, and climate risk. This paper examines the intersection of these two domains as an emerging site of multidisciplinary inquiry, one that draws simultaneously...

Saleha Javed Abbas Syed · 0 citations
#data science Open access Sep 2026

Artificial Intelligence-Driven Advances in Analytical Chemistry: Methods, Applications, and Future Perspectives

Abstract Artificial intelligence (AI) is reshaping analytical chemistry by changing how instrumental measurements are processed, interpreted, optimized, and translated into chemical decisions. Modern analytical platforms generate high-dimensional spectra, chromatograms, mass spectra, images, and sensor signals in volum...

Achut R. Shinde · 0 citations

From tech blogs

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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