Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Artificial Intelligence (AI) has become a foundational element of next-generation pattern recognition and image analysis, driving transformative advances ...

Abstract: This work presents a systematic literature review of deep learning techniques for text-based emotional response generation, a particular topic in the area of emotional dialogue systems. In ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

We often mistake the "aha!" moment of a clear explanation for actual mastery. The feeling of learning can be a psychological illusion, but we can spot the difference.

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

We all want to get our students to think deeply about important ideas, but that goal requires preparation, and preparation requires time. No matter what or where we teach, it can feel like we never ...