Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...