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explainable ai

2,182 papers

#explainable ai Open access Sep 2026

Artificial Intelligence For Climate-Resilient Plants: Emerging AI Approaches For Predicting Drought, Salinity And Temperature Stress.

Abstract Climate change is creating serious problems for agriculture by increasing drought, soil salinity, and extreme temperatures. These stresses affect plant growth, development, crop yield, and global food security. Traditional methods used to study plant responses to stress are often time-consuming, labour-intensi...

Aruna Nangare, Vaishali Wankhede · 0 citations
#explainable ai Open access Sep 2026

Artificial Intelligence For Climate-Resilient Plants: Emerging Ai Approaches For Predicting Drought, Salinity And Temperature Stress.

Abstract Climate change is creating serious problems for agriculture by increasing drought, soil salinity, and extreme temperatures. These stresses affect plant growth, development, crop yield, and global food security. Traditional methods used to study plant responses to stress are often time-consuming, labour-intensi...

Aruna Nangare, Vaishali Wankhede · 0 citations
#explainable ai Open access Sep 2026

Human-Centred AI for Sustainable Digital Governance in India: A Review of Digital Public Services.

Abstract Artificial Intelligence (AI) is increasingly being used to improve public service delivery through automation, data analysis, decision support and digital interaction. In India, Digital India, Digital Public Infrastructure and national AI initiatives have created opportunities to make government services more...

Vijay Laxmi Pinjan, Nitin Taware · 0 citations
#explainable ai Open access Sep 2026

Artificial Intelligence For Climate-Resilient Plants: Emerging Ai Approaches For Predicting Drought, Salinity And Temperature Stress.

Abstract Climate change is creating serious problems for agriculture by increasing drought, soil salinity, and extreme temperatures. These stresses affect plant growth, development, crop yield, and global food security. Traditional methods used to study plant responses to stress are often time-consuming, labour-intensi...

Aruna Nangare, Vaishali Wankhede · 0 citations
#explainable ai Open access Sep 2026

Human-Centred AI for Sustainable Digital Governance in India: A Review of Digital Public Services.

Abstract Artificial Intelligence (AI) is increasingly being used to improve public service delivery through automation, data analysis, decision support and digital interaction. In India, Digital India, Digital Public Infrastructure and national AI initiatives have created opportunities to make government services more...

Vijay Laxmi Pinjan, Nitin Taware · 0 citations
#generative ai Open access Sep 2026

GAN-Enhanced Multimodal Artificial Intelligence for Autism Spectrum Disorder Screening: A Comprehensive Survey

Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social communication and interaction, together with restricted or repetitive patterns of behavior. Early screening is important for facilitating timely clinical assessment and intervention; however, conventional s...

Dr. Manjunath B N, Usha Shree B N · 0 citations
#generative ai Open access Sep 2026

GAN-Enhanced Multimodal Artificial Intelligence for Autism Spectrum Disorder Screening: A Comprehensive Survey

Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social communication and interaction, together with restricted or repetitive patterns of behavior. Early screening is important for facilitating timely clinical assessment and intervention; however, conventional s...

Dr. Manjunath B N, Usha Shree B N · 0 citations
#federated learning Open access Sep 2026

Hyper-Personalization vs. Privacy Paradox: Balancing AI-Driven Customer Insights with Consumer Data Ethics and Trust

Abstract: The rapid proliferation of artificial intelligence and machine learning has enabled organizations to achieve unprecedented levels of hyper-personalization, transforming how brands interact with consumers. However, this capability intensifies the privacy paradox, a phenomenon where consumers express profound c...

Dhanraj Kalgi, Akshay Shende · 0 citations
#federated learning Open access Sep 2026

Hyper-Personalization vs. Privacy Paradox: Balancing AI-Driven Customer Insights with Consumer Data Ethics and Trust

Abstract: The rapid proliferation of artificial intelligence and machine learning has enabled organizations to achieve unprecedented levels of hyper-personalization, transforming how brands interact with consumers. However, this capability intensifies the privacy paradox, a phenomenon where consumers express profound c...

Dhanraj Kalgi, Akshay Shende · 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-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 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

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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