Neurosymbolic AI

This course on Neurosymbolic AI aims to introduce learners to the concept of combining neural networks with symbolic AI to create more advanced artificial intelligence systems. By the end of the course, students will understand the evolution of AI, the limitations of current AI systems, and the advantages of integrating symbolic reasoning with deep learning. The course covers topics such as out-of-distribution performance, adversarial examples, and the challenges faced by deep learning. The teaching method includes lectures with slides and real-world examples. This course is intended for individuals interested in deep learning, artificial intelligence, and the future of AI technologies.