In this contributed article, editorial consultant Jelani Harper points out that those who triumph in coupling the connectionist approach of machine learning techniques with the symbolic reasoning ...

Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason, ...

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 ...

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 ...

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 ...

Artificial intelligence startup Symbolica emerged from stealth today and unveiled a novel approach to constructing AI models, leveraging advanced mathematics to imbue systems with human-like reasoning ...

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 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 ...