WASHINGTON (AP) – Celebrate your child’s scribbles. A novel experiment shows that even before learning their ABCs, youngsters start to recognize that a written word symbolizes language in a way a ...

Those who triumph in coupling the connectionist approach of machine learning techniques with the symbolic reasoning underscoring AI’s knowledge base make these technologies much more efficient, ...

As AI systems have advanced rapidly, with large language models (LLMs) at the center, every tech executive has experienced their limits—when AI systems struggle with complex problem-solving, produce ...

The main problem with big tech’s experiment with artificial intelligence is not that it could take over humanity. It’s that large language models (LLMs) like Open AI’s ChatGPT, Google’s Gemini, and ...

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 ...

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 ...

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 ...