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ENN is a promising new neurosymbolic architecture that uses a bottom-up training procedure which allows the network to be translated directly into code. Milo Lin, an Assistant Professor at UT Southwest Medical Center discusses this work with our host, Paulo Shakarian. 00:00 Introduction 07:20 On explainability and biological inspiration 16:20 ENN architecture and training 40:22 Deep distillation 53:04 Game of life experiment References: Deep Distillation: https://www.nature.com/articles/s4358... ENN: https://www.nature.com/articles/s4358... About the channel: The Neuro Symbolic Channel provides the tutorials, courses, and research results on one of the most exciting areas in artificial intelligence and machine learning. With content originally from the AI course taught at Arizona State University, this channel brings you the latest at the intersection of symbolic methods (e.g., logic programming) and deep learning. Learn about the latest algorithms, Python packages, and progress toward larger goals such as artificial general intelligence (AGI).