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 ...

He has co-authored two books: Neural-Symbolic Cognitive Reasoning, Springer (2009) and Neural-Symbolic Learning Systems, Springer (2002), and co-founded the NeSy conference series, the longest ...

DARPA selected the following teams to explore diverse, hybrid architectures that integrate data-driven machine learning with symbolic reasoning, a problem-solving method that uses symbols or abstract ...

WASHINGTON — 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 ...

The neuro-symbolic learning is also able to incorporate the superior pattern recognition capabilities of deep learning with high level symbolic reasoning.

While the deeper concepts of symbolic learning and pattern reproduction are a bit in the weeds, the basic concept of their research is very easy to grasp.