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

March 19, 2021 — Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new framework and an accompanying visualization tool that leverages deep reinforcement 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 ...

ACI Team Receives $1 Million Of $6.4 Million DARPA Award To Research Neuro-Symbolic Artificial Intelligence Applications On The Future Battlefield By Meghan Dower-Rogers USMA Academic Research ...

Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration” was published by ...

On April 10-14, the five participating universities of the Institute for Data, Econometrics, Algorithms, and Learning hosted a workshop examining multiple areas of interpretability.