Moderator: Larry Swanson. Panelists: Peter Haase (metaphacts), Harald Sack (FIZ Karlsruhe & KIT Karlsruhe), Jennifer Lechner (d-fine), André Teege (Piterion), Alexander Garcia (Siemens Energy). Topics include: Can LLMs actually “understand” symbols, or are they just statistically impressive? How does symbolic reasoning enhance comprehension and trust? Should neuro-symbolic AI be the gold standard for safety and regulation? Is interpretability more important than raw performance? Whose knowledge do symbolic systems represent—and what are the implications?

Discover HybridAGI, a groundbreaking Cypher-based neuro-symbolic AI designed to make AI adaptable, reliable, and knowledge-driven. With the power of graph technology, HybridAGI goes beyond traditional Agent systems by using a graph interpreter that dynamically reads, writes, and executes graph-based data, enabling self-programming and on-the-fly adaptation. Tune in to explore how HybridAGI combines graph and LLM capabilities, allowing users to create secure, memory-centric AI applications with deterministic behaviour and extensive customization through Cypher.