Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Well, it could be that I am invoking an ever-popular and ...

Neuro-symbolic AI is now being used to provide mental health guidance. Turns out this is better than using conventional AI. I ...

In the era of Deep Learning, we often come across Symbolic AI and Non-Symbolic AI. What exactly is Symbolic AI? To start, Symbolic AI (or Classical AI) is the branch of Artificial Intelligence that ...

Today, artificial intelligence is mostly about artificial neural networks and deep learning. But this is not how it always was. In fact, for most of its six-decade history, the field was dominated by ...

Ziwei Zhu, Assistant Professor, Computer Science, College of Engineering and Computing (CEC), received funding for the project: “III: Small: Harnessing Interpretable Neuro-Symbolic Learning for ...

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 ...

Paul is an incoming assistant professor in computer science at the University of Colorado Boulder (Fall 2026). His research explores the fundamentals of symbolic learning and synthesis, e.g. learning ...