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 ...

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 ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Even as many enterprises are just starting to dip their toes into the AI ...

Observe the great leap in development when young children learn how to use one thing to represent another, with a demonstration of symbolic thought from Pamela May. There are very few three-year-olds ...