Neurosymbolic Artificial Intelligence: Theory, Applications, and Challenges

Explore the emerging field of neurosymbolic artificial intelligence in this 55-minute seminar presented by Son Tran, a lecturer in computing at the University of Tasmania. Delve into the theory behind neurosymbolic computing and learn about methods for representing symbolic knowledge in neural networks. Discover how this approach combines the strengths of connectionist models like deep neural networks with symbolic reasoning to address challenges in AI such as opacity and data dependency. Examine real-world applications of neurosymbolic AI and discuss current research challenges in the field. Gain insights into how this innovative approach could potentially pave the way towards Artificial General Intelligence by integrating learning and reasoning capabilities.

[Seminar Series] Neurosymbolic Artificial Intelligence: Theory, Applications, and Challenges