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, ...

Education is on the cusp of transformative era, driven by the integration of artificial intelligence (AI) and, in particular, large language models (LLMs). These powerful tools hold immense potential ...

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 ...

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 ...

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 ...

In a breakthrough for artificial intelligence (AI) and finance, computer scientists from Texas A&M University have developed a machine learning based method called Symbolic Modeling to handle ...

ADELPHI, Md.-- Researchers at the U.S. Army’s corporate research laboratory developed an artificial intelligence architecture that can learn and understand complex events, enhancing the trust and ...

Bees are not supposed to read code. Yet a new wave of experiments suggests that honeybees can track dot‑and‑dash style light flashes in a way that looks strikingly similar to how humans parse Morse, ...