A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes applications. By introducing ...

2. Comments on the draft Guidanceare invited from regulated entities, members of public and other stakeholders by July 24, 2026. The comments / feedback may be submitted through the link under the ...

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

Artificial intelligence (AI) is increasingly reshaping diagnostic pathology, with breast pathology representing one of the most advanced and clinically impactful areas of adoption.

The central bank's draft guidelines require board-approved model risk frameworks, stronger oversight of AI models and ...

The RBI has proposed a comprehensive regulatory framework to govern the use of artificial intelligence and other ...

The rise of autonomous AI agents in enterprise IT is fundamentally challenging the established business and revenue models of ...

As the UAE accelerates plans to embed autonomous AI into government services, experts warn that governance frameworks must evolve from policy documents into operational controls that ensure ...

Public company disclosures of AI-related risks have surged from 12% of S&P 500 firms in 2023 to 72% in 2025, underscoring the urgency for stronger security and governance strategies as AI adoption ...

ABSTRACT: One of the biggest causes of permanent blindness in the world today is glaucoma, and effective treatment depends on early detection. Although artificial intelligence (AI) has demonstrated ...

Standard evaluation practices in patch-based Hyperspectral Image Classification (HSIC) rely on pixel-wise random sampling, which silently introduces spatial train-test leakage — inflating performance ...

ABSTRACT: Prostate cancer remains one of the most prevalent malignancies among men worldwide and achieving an accurate and timely diagnosis is essential for guiding appropriate treatment decisions and ...