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 ...

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 ...

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 ...

The humble honeybee can use symbols to perform basic maths including addition and subtraction, shows new research published today in the journal Science Advances. Despite having a brain containing ...