This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...

This project focuses on classifying breast cancer histopathology images into two classes: benign and malignant. The main problem is that breast cancer diagnosis from histopathology images requires ...

Abstract: As Artificial Intelligence (AI) is increasingly utilized in dermatology, ensuring fairness in the development of Machine Learning models is crucial, particularly in skin lesion ...

Graph neural networks have become essential for molecular property prediction in drug discovery and materials design. However, graph neural networks face a critical challenge called oversmoothing: ...

Abstract: Sentiment classification is a critical yet challenging task in Natural Language Processing (NLP), owing to linguistic ambiguity, context dependence, and uncertainty in human sentiment ...

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 ...

Key market opportunities in explainable AI for banking include growing demand for compliance and regulatory trust, expanding ...