As part of the AI Webinar Series, TOGAI Research Assistant Mahesh Shakya coordinated a session on Neuro-Symbolic AI (NSAI) featuring Nijesh Upreti, PhD Candidate at the University of Edinburgh.

The talk provided a deep dive into the foundations, applications, architectures and taxonomies, and core mechanisms of NSAI, situating the field within the three historical waves of AI: symbolic systems, neural networks, and today’s hybrid approaches. The session unpacked how neural learning contributes statistical generalization and pattern discovery, while symbolic reasoning offers structure, logic, and systematic inference.

Through sessions like this, NAAMII aims to provide a platform for regularly engaging with frontier AI research, fostering open discussion, learning, dialogue, and collaboration across the wider AI ecosystem.

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AI Webinar Series on Neuro-Symbolic AI (NSAI)