Learning Logical Relationships with Neural Networks - Part 3

Explore the experimental evaluation of Differentiable Inductive Logic Programming for Structured Examples in this 12-minute video from the Neuro Symbolic Channel. Delve into the intersection of symbolic methods and deep learning as presented in the AI course at Arizona State University. Examine the latest algorithms and progress towards artificial general intelligence (AGI) through the analysis of Shindo et al.'s AAAI 2021 paper. Access accompanying slides and the full research paper for a comprehensive understanding of how neural networks can learn logical relationships. Join presenters Jesse Jing, Divyagna Bavikadi, and Kaustuv Mukherji from ASU as they break down this cutting-edge approach in neuro-symbolic AI.

(Pt. 3) How can you learn logical relationships with a neural network?